Publications

Quantitative Imaging


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2024
  1. D. Acharya, M. Farazi, V. Rolland, L. Petersson, U. Rosebrock, D. Smith, J. Ford, D. Wang, G. Tuck, R. Little, and C. Wilcox. Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system. Fisheries Research, 272(106939), April 2024. [DOI] [bibtex-key = devnat-etal22jcm] [bibtex-entry]

  2. Q. Jin, H. Cui, C. Sun, Y. Song, J. Zheng, L. Cao, L. Wei, and R. Su. Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Systems with Applications, 238(D):122093, March 2024. [DOI] [bibtex-key = jin-etal24eswa] [bibtex-entry]

  3. J. Ren, C. Li, Y. An, W. Zhang, and C. Sun. Few-Shot Fine-Grained Image Classification: A Comprehensive Review. AI, 5(1):405--425, 6 March 2024. [DOI] [bibtex-key = ren-etal24ai] [bibtex-entry]

  4. R. Wu, M. Wang, Z. Li, J. Zhou, F. Chen, X. Wang, and C. Sun. Few-shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network. International Journal of Computer Vision, 132(5):1484--1501, May 2024. [DOI] [bibtex-key = wu-etal24ijcv] [bibtex-entry]

  5. W. Zhang, Y. Zhao, Y. Gao, and C. Sun. Re-abstraction and Perturbing Support Pair Network for Few-Shot Fine-Grained Image Classification. Pattern Recognition, 148:110158, April 2024. [DOI] [bibtex-key = zhang-etal24pr] [bibtex-entry]

2023
  1. T. Liu, G. Webb, L. Yue, and D. Wang. AI 2023: Advances in Artificial Intelligence, 36th Australasian Joint Conference on Artificial Intelligence, volume 14472. Springer, December 2023. [WWW] [bibtex-key = liu-etal23aai] [bibtex-entry]

  2. D. Ahmedt-Aristizabal, C. Nguyen, L. Tychsen-Smith, A. Stacey, S. Li, J. Pathikulangara, L. Petersson, and D. Wang. Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Computer Methods and Programs in Biomedicine, 232:107451, March 2023. [bibtex-key = ahmedt2023monitoring] [bibtex-entry]

  3. M. S. Alam, D. Wang, Q. Liao, and A. Sowmya. A Multi-scale Context aware Attention Model for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, pp 1--10, 2023. [DOI] [bibtex-key = Alam-etal23JBHI] [bibtex-entry]

  4. T.-N. Doan and C. Nguyen. A low-cost digital 3D insect scanner. Information Processing in Agriculture, 2023. [DOI] [bibtex-key = DOAN2023] [bibtex-entry]

  5. J. Jing, T. Gao, W. Zhang, Y. Gao, and C. Sun. Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4694--4712, April 2023. [DOI] [bibtex-key = jing-etal23pami] [bibtex-entry]

  6. J. Jing, C. Liu, W. Zhang, Y. Gao, and C. Sun. ECFRNet: Effective corner feature representations network for image corner detection. Expert Systems with Applications, 211:118673, January 2023. [DOI] [bibtex-key = jing-etal23eswa] [bibtex-entry]

  7. Y. Jing, T. Zhang, Z. Liu, Y. Hou, and C. Sun. Swin-ResUNet+: An edge enhancement module for road extraction from remote sensing images. Computer Vision and Image Understanding, 237:103807, December 2023. [DOI] [bibtex-key = jing-etal23cviu] [bibtex-entry]

  8. M. R. Khokher, Q. Liao, A. Smith, C. Sun, D. Mackenzie, M. R. Thomas, D. Wang, and E. Edwards. Early Yield Estimation in Viticulture based on Grapevine Inflorescence Detection and Counting in Videos. IEEE Access, 2023. [DOI] [bibtex-key = khokher-etal23access] [bibtex-entry]

  9. H. Liu, D. Wang, K. Xu, P. Zhou, and D. Zhou. Lightweight convolutional neural network for counting densely piled steel bars. Automation in Construction, 146(104692):1--14, 2023. [DOI] [bibtex-key = Liu-etal23AIC] [bibtex-entry]

  10. J. Lu, G. Peng, W. Zhang, and C. Sun. Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection. IEEE Access, 11:121688--121701, November 2023. [DOI] [bibtex-key = lu-etal23access] [bibtex-entry]

  11. J. Song, K. Liu, A. Sowmya, and C. Sun. Super-resolution phase retrieval network for single-pattern structured light 3D imaging. IEEE Transactions on Image Processing, 32:537--549, January 2023. [DOI] [bibtex-key = song-etal23tip] [bibtex-entry]

  12. R. Su, H. He, C. Sun, X. Wang, and X. Liu. Prediction of drug-induced hepatotoxicity based on histopathological whole slide images. Methods, 212:31--38, April 2023. [DOI] [bibtex-key = su-etal23methods] [bibtex-entry]

  13. L. Sun, J. Bockman, and C. Sun. A Framework for Leveraging Interimage Information in Stereo Images for Enhanced Semantic Segmentation in Autonomous Driving. IEEE Transactions on Instrumentation and Measurement, 72:5033112, October 2023. [DOI] [bibtex-key = sun-etal23tim] [bibtex-entry]

  14. M. Xi, A. Rahman, C. Nguyen, S. Arnold, and J. McCulloch. Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management. Aquacultural Engineering, 102:102339, 2023. [bibtex-key = xi2023smart] [bibtex-entry]

  15. W. Zhang, C. Sun, and Y. Gao. Image intensity variation information for interest point detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9883--9894, August 2023. [DOI] [bibtex-key = zhang-etal23pami] [bibtex-entry]

  16. Q. Zheng, C. Wang, D. Wang, and D. Tao. Visual superordinate abstraction for robust concept learning. Machine Intelligence Research, 20(1):79--91, February 2023. [DOI] [bibtex-key = Zheng-etal23MIR] [bibtex-entry]

  17. Y. Bai, E. Yang, Z. Wang, Y. Du, B. Han, C. Deng, D. Wang, and T. Liu. Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping. In NeurIPS, New Orleans, USA, Dec. 10-16 2023. [bibtex-key = bai-etal23NeurIPS] [bibtex-entry]

  18. H. Huang, H. Kang, S. Liu, O. Salvado, T. Rakotoarivelo, D. Wang, and T. Liu. PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels. In ICCV, Paris, France, 2-6 October 2023. IEEE. [bibtex-key = huang-etal23ICCV] [bibtex-entry]

  19. Q. Jin, H. Cui, C. Sun, J. Huang, P. Xuan, Y. Xu, L. Wang, L. Cao, L. Wei, and R. Su. Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkey, pages 1188--1193, 5-8 December 2023. [DOI] [bibtex-key = jin-etal23bibm] [bibtex-entry]

  20. Q. Jin, C. Zou, H. Cui, C. Sun, S.-W. Huang, Y.-J. Kuo, P. Xuan, L. Cao, R. Su, L. Wei, B.-L. Duh, and Y.-P. Chen. Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, pages 85--94, 8-12 October 2023. [DOI] [bibtex-key = jin-etal23miccai] [bibtex-entry]

  21. C. Liu, P. Li, X. Qi, H. Zhang, L., D. Wang, and X. Yu. Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics. In ACMMM, Ottawa, Canada, 28 November - 9 December 2023. Association for Computing Machinery. [bibtex-key = liu-etal23acmmm] [bibtex-entry]

  22. S. Rahman, P. Koniusz, L. Wang, L. Zhou, P. Moghadam, and C. Sun. Learning Partial Correlation based Deep Visual Representation for Image Classification. In Proceedings of Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, pages 6231--6240, 18-22 June 2023. [DOI] [bibtex-key = rahman-etal23cvpr] [bibtex-entry]

  23. L. Tao, M. Dong, D. Liu, C. Sun, and C. Xu. Calibrating a Deep Neural Network with Its Predecessors. In International Joint Conference on Artificial Intelligence (IJCAI), Macao, S.A.R., pages 4271--4279, 19-25 August 2023. [WWW] [bibtex-key = tao-etal23ijcai] [bibtex-entry]

  24. J. Tong, S. Muthu, F. Maken, C. Nguyen, and H. Li. Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12555--12564, 2023. [bibtex-key = tong2023seeing] [bibtex-entry]

  25. H. Xu, D. Wang, I. Katz, and A. Sowmya. Detection of basal cell carcinoma in whole slide images. In MICCAI, Vancouver, Canada, 8-12 October 2023. [bibtex-key = xu-etal23miccai] [bibtex-entry]

2022
  1. L. Devnath, Z. Fan, S. Luo, P. Summons, and D. Wang. Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays. International Journal of Environmental Research and Public Health, 19(18):1-21, September 2022. [DOI] [bibtex-key = Liton-etal22ijerph] [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker's Chest X-ray Radiography. Journal of Clinical Medicine, 11(18), September 2022. [DOI] [bibtex-key = devnat-etal22jcm] [bibtex-entry]

  3. L. Devnath, P. Summons, S. Luo, D. Wang, K. Shaukat, I. Hameed, and H. Aljuaid. Computer-aided diagnosis of coal workers pneumoconiosis in chest X-ray radiographs using machine learning: A systematic review. International Journal of Environmental Research and Public Health, 19(4):1--23, May 2022. [DOI] [bibtex-key = Devnath22IJERPH] [bibtex-entry]

  4. J. Jiang, D. Wang, Y. Song, P. Sachdev, and W. Wen. Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review. NeuroImage, 261(119528):1--18, August 2022. [DOI] [bibtex-key = Jiang-etal22NeuroImage] [bibtex-entry]

  5. J. Jing, S. Liu, G. Wang, W. Zhang, and C. Sun. Recent advances on image edge detection: A comprehensive review. Neurocomputing, 503:259--271, September 2022. [DOI] [bibtex-key = jing-etal22neucom] [bibtex-entry]

  6. T. Liu, R. Su, C. Sun, X. Li, and L. Wei. EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. Expert Systems with Applications, 206:117643, November 2022. [DOI] [bibtex-key = liu-etal22eswa] [bibtex-entry]

  7. J. Lu, Y. Zhao, W. Zhang, and C. Sun. Image Local Structure Information Learning for Fine-Grained Visual Classification. Scientific Reports, 12:19205, 10 November 2022. [DOI] [bibtex-key = lu-etal22sr] [bibtex-entry]

  8. L. Sun, W. Yin, E. Xie, Z. Li, C. Sun, and C. Shen. Improving Monocular Visual Odometry Using Learned Depth. IEEE Transactions on Robotics, 38(5):3173--3186, October 2022. [DOI] [bibtex-key = sun-etal22tro] [bibtex-entry]

  9. M. Wang, C. Sun, and A. Sowmya. Complex Shearlets and Rotary Phase Congruence Tensor for Corner Detection. Pattern Recognition, 128:108606, August 2022. [DOI] [bibtex-key = wang-etal22pr] [bibtex-entry]

  10. M. Wang, C. Sun, and A. Sowmya. Efficient Corner Detection Based on Corner Enhancement Filters. Digital Signal Processing, 122:103364, April 2022. [DOI] [bibtex-key = wang-etal22dsp] [bibtex-entry]

  11. Y. Xu, X. Yu, J. Zhang, L. Zhu, and D. Wang. Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting. IEEE Transactions on Image Processing, 31:2148--2161, March 2022. [DOI] [bibtex-key = Xu-etal22tip] [bibtex-entry]

  12. Z. Zheng, T. Zhang, Z. Liu, B. Liu, Y. Li, and C. Sun. Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:9355--9368, October 2022. [DOI] [bibtex-key = zheng-etal22jstars] [bibtex-entry]

  13. Y. Bai, E. Yang, Z. Wang, Y. Du, B. Han, C. Deng, D. Wang, and T. Liu. MSR: Making Self-supervised learning Robust to Aggressive Augmentations. In NeurIPS, New Orleans, USA, 28 Nov - 9 Dec 2022. [bibtex-key = bai-etal22NeurIPS] [bibtex-entry]

  14. Q. Jin, H. Cui, C. Sun, J. Zheng, L. Wei, Z. Fang, Z. Meng, and R. Su. Semi-supervised histological image segmentation via hierarchical consistency enforcement. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), volume LNCS 13432, Singapore, pages 3--13, 18-22 September 2022. [DOI] [bibtex-key = jin-etal22miccai] [bibtex-entry]

  15. Y. Jing, S. Tu, Z. Liu, Y. Hou, and C. Sun. Swin-ResUNet: A Swin-Topology Module for Road Extraction from Remote Sensing Images. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, 30 November-2 December 2022. [DOI] [bibtex-key = jing-etal22dicta] [bibtex-entry]

  16. Y. Liao, W. Zhang, Y. Gao, C. Sun, and X. Yu. ASRSNet: Automatic Salient Region Selection Network for Few-Shot Fine-Grained Image Classification. In International Conference on Pattern Recognition and Artificial Intelligence, volume LNCS 13363, Paris, France, pages 627--638, 1-3 June 2022. [DOI] [bibtex-key = liao-etal22icprai] [bibtex-entry]

  17. H. Xu, X. Su, S. You, T. Huang, F. Wang, C. Qian, C. Zhang, C. Xu, D. Wang, and A. Sowmya. Data Agnostic Filter Gating for Efficient Deep Networks. In ICASSP, Singapore, 22-27 May 2022. [bibtex-key = xu-etal22ICASSP] [bibtex-entry]

  18. H. Xu, D. Wang, and A. Sowmya. Multi-scale Alignment and Spatial ROI Module for COVID-19 Diagnosis. In Proceedings of IEEE World Congress on Computational Intelligence, Padova, Italy, 18-23 July 2022. IEEE. [bibtex-key = xu-etal22wcci] [bibtex-entry]

2021
  1. S. Amirgholipour, W. Jia, L. Liu, X. Fan, D. Wang, and X. He. PDANet: Pyramid Density-aware Attention based Network for Accurate Crowd Counting. Neurocomputing, pp 1--16, April 2021. [DOI] [bibtex-key = Amirgholipour-etal21nc] [bibtex-entry]

  2. S. A. H. Chowdhury, C. Nguyen, H. Li, and R. Hartley. Fixed-Lens camera setup and calibrated image registration for multifocus multiview 3D reconstruction. Neural Computing and Applications, 33:7421--7440, 2021. [bibtex-key = chowdhury2021fixed] [bibtex-entry]

  3. Q. Jin, H. Cui, C. Sun, Z. Meng, and R. Su. Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Applied Soft Computing, 99:106881, February 2021. [DOI] [bibtex-key = jin-etal21asc] [bibtex-entry]

  4. Q. Jin, H. Cui, C. Sun, Z. Meng, and R. Su. Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowledge-Based Systems, 218:106753, April 2021. [DOI] [bibtex-key = jin-etal21kbs] [bibtex-entry]

  5. Q. Jin, H. Cui, C. Sun, Z. Meng, L. Wei, and R. Su. Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Systems with Applications, 176:114848, August 2021. [DOI] [bibtex-key = jin-etal21eswa] [bibtex-entry]

  6. J. Ke, Y. Lu, Y. Shen, J. Deng, J. Wright, Y. Zhang, H. Qin, D. Wang, X. Liang, and F. Jiang. Quantitative Analysis of Abnormalities in Gynecologic Cytopathology with Deep Learning. Laboratory Investigation, 101:513--524, February 2021. [DOI] [bibtex-key = Ke-etal21li] [bibtex-entry]

  7. M. R. Khokher, L. R. Little, G. N. Tuck, D. V. Smith, M. Qiao, C. Devine, H. O'Neill, J. Pogonoski, R. Arangio, and D. Wang. Early lessons in deploying cameras and artificial intelligence technology for fisheries catch monitoring: where machine learning meets commercial fishing. Canadian Journal of Fisheries and Aquatic Sciences, July 2021. [DOI] [bibtex-key = Khokher-etal21cjfas] [bibtex-entry]

  8. D. Li, P. Tang, R. Zhang, C. Sun, Y. Li, J. Qian, Y. Liang, J. Yang, and L. Zhang. Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations. Computational and Mathematical Methods in Medicine, 2021:5590180, August 2021. [DOI] [bibtex-key = li-etal21cmmm] [bibtex-entry]

  9. Q. Liao, D. Wang, and M. Xu. Category Attention Transfer for Efficient Fine-Grained Visual Categorization. Pattern Recognition Letter, pp 1-7, November 2021. [DOI] [bibtex-key = Liao-etal21prl] [bibtex-entry]

  10. S. Lopez-Marcano, E. Jinks, C. J. Brown, D. Wang, B. Kusy, E. Ditria, and R. Connolly. Automatic detection of fish and tracking of movement for ecology. Ecology and Evolution, pp 1--10, May 2021. [DOI] [bibtex-key = lopez-marcano-etal21eae] [bibtex-entry]

  11. L. Mo, L. Zhu, J. Ma, D. Wang, and H. Wang. MDRSteg: large-capacity image steganography based on multi-scale dilated ResNet and combined chi-square distance loss. Journal of Electronic Imaging, 30(1):013018, February 2021. [DOI] [bibtex-key = mo-etal21jei] [bibtex-entry]

  12. G. Wang, C. Sun, and A. Sowmya. Context-enhanced Representation Learning for Single Image Deraining. International Journal of Computer Vision, 129(5):1650--1674, May 2021. [DOI] [bibtex-key = wang-etal21ijcv] [bibtex-entry]

  13. G. Wang, C. Sun, and A. Sowmya. Attentive Feature Refinement Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 30:3734--3747, March 2021. [DOI] [bibtex-key = wang-etal21tip] [bibtex-entry]

  14. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Robust Tensor Decomposition for Image Representation based on Generalized Correntropy. IEEE Transactions on Image Processing, 30:150--162, 2021. [DOI] [bibtex-key = zhang-etal21tip] [bibtex-entry]

  15. W. Zhang and C. Sun. Corner detection using second-order generalized Gaussian directional derivative representations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4):1213--1224, April 2021. [DOI] [bibtex-key = zhang-sun21pami] [bibtex-entry]

  16. L. Zhu, X. Wen, L. Mo, J. Ma, and D. Wang. Robust location-secured high-definition image watermarking based on key-point detection and deep learning. Optik, 248, December 2021. [DOI] [bibtex-key = Zhu-etal21Optik] [bibtex-entry]

  17. X. Zong, Z. Chen, and D. Wang. Local-CycleGAN: A General End-to-End Network for Visual Enhancement. Applied Intelligence, 51:1947--1958, April 2021. [DOI] [bibtex-key = Zong-etal21ai] [bibtex-entry]

  18. M. S. Alam, A. Sowmya, and D. Wang. Image data augmentation for improving performance of deep learning-based model in pathological lung segmentation. In DICTA, Gold Coast, Queensland, Australia, 29 November - 1 December 2021. [bibtex-key = Alam-etal21dicta] [bibtex-entry]

  19. M. S. Alam, A. Sowmya, and D. Wang. Bidirectional ConvLSTM for lung segmentation from chest X-ray images. In ICTAI, Washington, USA, 1-3 November 2021. [bibtex-key = Alam-etal21ictai] [bibtex-entry]

  20. J. Jing, S. Liu, C. Liu, T. Gao, W. Zhang, and C. Sun. A novel decision mechanism for image edge detection. In International Conference on Intelligent Computing, Shenzhen, China, pages 274--287, 12-15 August 2021. [DOI] [bibtex-key = jing-etal21icic] [bibtex-entry]

  21. C. Nguyen, D. Wang, K. Richter, P. Valencia, and G. Bishop-Hurley. Video-based cattle identification and behaviour recognition. In DICTA, Gold Coast, Queensland, Australia, 29 November - 1 December 2021. [WWW] [bibtex-key = Nguyen-etal21dicta] [bibtex-entry]

  22. A. Rispler, S. Gensemer, S. Gao, T. Doody, C. Sun, and R. Lagerstrom. Payload verification and testing for the CSIROSat-1 mission. In 43rd COSPAR Scientific Assembly, Sydney, Australia, 28 January-4 February 2021. [bibtex-key = rispler-etal21] [bibtex-entry]

  23. L. Velentzis, P. Procopio, S. Carr, L. Devereux, B. Mann, P. James, G. Lee, C. Wellard, Y. Arzhaeva, and C. Nickson. Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia?. In IEA World Congress of Epidemiology, volume 50, pages i242, September 2021. [DOI] [bibtex-key = Vele2021] [bibtex-entry]

  24. G. Wang, C. Sun, X. Xu, J. Li, Z. Wang, and Z. Ma. Disentangled Representation Learning and Enhancement Network for Single Image De-Raining. In ACM Multimedia, Chengdu, China, pages 3015--3023, 20-24 October 2021. [DOI] [bibtex-key = wang-etal21mm] [bibtex-entry]

  25. R. Wu, C. Sun, Z. Liu, and A. Sowmya. Deep learning based stereo cost aggregation on a small dataset. In Digital Image Computing: Techniques and Applications, Gold Coast, Australia, 29 November-1 December 2021. [DOI] [bibtex-key = wu-etal21dicta] [bibtex-entry]

  26. C. Xu, J. Liu, C. Nguyen, F. Casten, B. Maujean, and S. Gasparini. 3D reconstruction of insects: An improved multifocus stacking and an evaluation of learning-based MVS approaches. In 2021 International Conference on 3D Vision (3DV), pages 1411--1419, 2021. IEEE Computer Society. [bibtex-key = xu20213d] [bibtex-entry]

2020
  1. M. Dai, G. Xiao, S. Cheng, D. Wang, and X. He. Structural Correlation Filters Combined with a Gaussian Particle Filter for Hierarchical Visual Tracking. Neurocomputing, February 2020. [DOI] [bibtex-key = DAI2020] [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Automated Detection of Pneumoconiosis with Multilevel Deep Features Learned from Chest X-Ray Radiographs. Computers in Biology and Medicine, 2020. [bibtex-key = devnath-etal20cbm] [bibtex-entry]

  3. T. Gao, J. Jing, C. Liu, W. Zhang, Y. Gao, and C. Sun. Fast corner detection using approximate form of second-order Gaussian directional derivative. IEEE Access, 8:194092--194104, October 2020. [DOI] [bibtex-key = gao-etal20access] [bibtex-entry]

  4. Q. Jin, Z. Meng, C. Sun, H. Cui, and R. Su. RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. Frontiers in Bioengineering and Biotechnology, 8:605132, December 2020. [DOI] [bibtex-key = jin-etal20fbb] [bibtex-entry]

  5. Y. Li, Y. Bi, W. Zhang, and C. Sun. Multi-scale Anisotropic Gaussian Kernels for Image Edge Detection. IEEE Access, 8:1803--1812, 2020. [DOI] [bibtex-key = li-etal20access_edge] [bibtex-entry]

  6. D. Li, C. Sun, S. Wei, Y. Yu, and J. Yang. Robust Cell Image Segmentation via Improved Markov Random Field based on a Chinese Restaurant Process Model. Journal of Advanced Computational Intelligent and Intelligent Informatics, 24(7):963--971, December 2020. [DOI] [bibtex-key = li-etal20jaciii] [bibtex-entry]

  7. M. Qiao, D. Wang, G. Tuck, L. Little, A. Punt, and M. Gerner. Deep learning methods applied to electronic monitoring data: Automated catch event detection for longline fishing. ICES Journal of Marine Science, 2020. [bibtex-key = qiao-etal20ices] [bibtex-entry]

  8. S. Rahman, L. Wang, C. Sun, and L. Zhou. Deep Learning for HEp-2 Image Classification: A Comprehensive Review. Medical Image Analysis, 65:101764, October 2020. [DOI] [bibtex-key = rahman-etal20mia] [bibtex-entry]

  9. H. Sanicola, C. Stewart, M. Mueller, F. Ahmadic, D. Wang, S. Powell, K. Sarkar, K. Cutbush, M. Woodruff, and D. Brafman. Guidelines for Establishing a 3-D Printing Biofabrication Laboratory. Biotechnology Advances, 2020. [bibtex-key = qiao-etal20ices] [bibtex-entry]

  10. C. E. Stewart, C. Kan, B. R. Stewart, H. W. 3rd Sanicola, J. P. Jung, O. Sulaiman, and D. Wang. Machine intelligence for nerve conduit design and production. Journal of Biological Engineering, 14:25, 2020. [DOI] [bibtex-key = stewart-etal20jbe] [bibtex-entry]

  11. R. Su, T. Liu, C. Sun, Q. Jin, R. Jennane, and L. Wei. Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing, 385:300--309, April 2020. [DOI] [bibtex-key = su-etal20neucom] [bibtex-entry]

  12. G. Wang, C. Sun, and A. Sowmya. Cascaded Attention Guidance Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 29:9190--9203, September 2020. [DOI] [bibtex-key = wang-etal20tip_cag] [bibtex-entry]

  13. G. Wang, C. Sun, and A. Sowmya. Learning a compact vein discrimination model with GANerated samples. IEEE Transactions on Information Forensics and Security, 15:635--650, 2020. [DOI] [bibtex-key = wang-etal20tifs_learn] [bibtex-entry]

  14. G. Wang, C. Sun, and A. Sowmya. Multi-weighted co-occurrence feature encoding for vein recognition. IEEE Transactions on Information Forensics and Security, 15:375--390, 2020. [DOI] [bibtex-key = wang-etal20tifs_multi] [bibtex-entry]

  15. M. Wang, W. Zhang, C. Sun, and A. Sowmya. Corner Detection Based on Shearlet Transform and Multi-directional Structure Tensor. Pattern Recognition, 103:107299, July 2020. [DOI] [bibtex-key = wang-etal20pr] [bibtex-entry]

  16. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. A Robust Matching Pursuit Algorithm Using Information Theoretic Learning. Pattern Recognition, 107:107415, November 2020. [DOI] [bibtex-key = zhang-etal20pr] [bibtex-entry]

  17. W. Zhang and C. Sun. Corner detection using multi-directional structure tensor with multiple scales. International Journal of Computer Vision, 128(2):438--459, February 2020. [DOI] [bibtex-key = zhang-sun20ijcv] [bibtex-entry]

  18. L. Devnath, S. Luo, P. Summons, and D. Wang. Performance comparison of deep learning models for black lung detection on chest X-ray radiographs. In 3rd International Conference on Software Engineering and Information Management, Sydney, Australia, 2-15 January 2020. [bibtex-key = devnath-etal20] [bibtex-entry]

  19. T. He, Y. Liu, C. Shen, X. Wang, and C. Sun. Instance-Aware Embedding for Point Cloud Instance Segmentation. In Proceedings of European Conference on Computer Vision (ECCV), volume 12375, Glasgow, United Kingdom, pages 255--270, 23-28 August 2020. Springer. [DOI] [bibtex-key = he-etal20eccv] [bibtex-entry]

  20. M. Qiao, J. Yu, T. Liu, X. Wang, and D. Tao. Diversified Bayesian Nonnegative Matrix Factorization. In The Thirty-fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, pages 5420--5427, 7-12 February 2020. [bibtex-key = qiao-etal20aaai] [bibtex-entry]

  21. S. Rahman, L. Wang, C. Sun, and L. Zhou. ReDro: Efficiently Learning Large-sized SPD Visual Representation. In Proceedings of European Conference on Computer Vision (ECCV), volume 12360, Glasgow, United Kingdom, pages 1--17, 23-28 August 2020. Springer. [DOI] [bibtex-key = rahman-etal20eccv] [bibtex-entry]

  22. Z. Shen and C. Nguyen. Temporal 3D RetinaNet for fish detection. In 2020 Digital Image Computing: Techniques and Applications (DICTA), pages 1--5, 2020. IEEE. [bibtex-key = shen2020temporal] [bibtex-entry]

  23. D. Wang, Y. Arzhaeva, L. Devnath, M. Qiao, S. Amirgholipour, Q. Liao, R. McBean, J. Hillhouse, S. Luo, D. Meredith, K. Newbigin, and D. Yates. Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia, 29 November-2 December 2020. [bibtex-key = wang-etal20dicta] [bibtex-entry]

  24. Z. Wu, T. Zhao, and C. Nguyen. 3D Reconstruction and Object Detection for HoloLens. In 2020 Digital Image Computing: Techniques and Applications (DICTA), pages 1--2, 2020. IEEE. [bibtex-key = wu20203d] [bibtex-entry]

2019
  1. X. Bai, C. Sun, and C. Sun. Cell segmentation based on FOPSO combined with shape information improved intuitionistic FCM. IEEE Journal of Biomedical and Health Informatics, 23(1):449--459, January 2019. [DOI] [bibtex-key = bai-etal19jbhi] [bibtex-entry]

  2. Y.-F. Chen, C.-S. Lin, C.-F. Hong, D.-J. Lee, C. Sun, and H.-H. Lin. Design of a Clinical Decision Support System for Prediction of Erectile Dysfunction in Men. IEEE Journal of Biomedical and Health Informatics, 23(5):2127--2137, September 2019. [DOI] [bibtex-key = chen-etal19jbhi] [bibtex-entry]

  3. D. He, K. Xu, and D. Wang. Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels. Image and Vision Computing, 89:12--20, September 2019. [bibtex-key = he-etal19ivc] [bibtex-entry]

  4. D. Li, L. Zhang, C. Sun, T. Yin, C. Liu, and J. Yang. Robust Retinal Image Enhancement via Dual-tree Complex Wavelet Transform and Morphology-based Method. IEEE Access, 7:47303--47316, April 2019. [DOI] [bibtex-key = li-etal19access] [bibtex-entry]

  5. Y. Liu, G. Liu, C. Liu, and C. Sun. A novel color-texture descriptor based on local histograms for image segmentation. IEEE Access, 7:160683--160695, December 2019. [DOI] [bibtex-key = liu-etal19access] [bibtex-entry]

  6. B. Wang, Y. Gao, C. Sun, M. Blumenstein, and J. La Salle. Chord Bunch Walks for Recognizing Naturally Self-overlapped and Compound Leaves. IEEE Transactions on Image Processing, 28(12):5963--5976, December 2019. [DOI] [bibtex-key = wang-etal19tip] [bibtex-entry]

  7. W. Zhang, C. Sun, T. Breckon, and N. Alshammari. Discrete Curvature Representations for Noise Robust Image Corner Detection. IEEE Transactions on Image Processing, 28(9):4444--4459, September 2019. [DOI] [bibtex-key = zhang-etal19tip] [bibtex-entry]

  8. J. Zhao, Z. Meng, L. Wei, C. Sun, Q. Zou, and R. Su. Supervised brain tumor segmentation based on gradient and context-sensitive features. Frontiers in Neuroscience, 13:144, March 2019. [WWW] [DOI] [bibtex-key = zhao-etal19fnins] [bibtex-entry]

  9. Y. Zheng, F. Zhou, L. Li, X. Bai, and C. Sun. Mutual Guidance-based Saliency Propagation for Infrared Pedestrian Images. IEEE Access, 7:113355--113371, December 2019. [DOI] [bibtex-key = zheng-etal19access] [bibtex-entry]

  10. L. Devnath, S. Luo, P. Summons, and D. Wang. An accurate black lung detection using transfer learning based on deep neural networks. In 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ), pages 1-6, 2-4 December 2019. [DOI] [bibtex-key = 8960961] [bibtex-entry]

  11. T. He, C. Shen, Z. Tian, D. Gong, C. Sun, and Y. Yan. Knowledge Translation and Adaptation for Efficient Semantic Segmentation. In Proceedings of Computer Vision and Pattern Recognition, Long Beach, CA, USA, pages 578--587, 16-20 June 2019. [WWW] [DOI] [bibtex-key = he-etal19cvpr] [bibtex-entry]

  12. J. Li, C. Nguyen, and S. You. Temporal 3D Fully Connected Network for Water-Hazard Detection. In Digital Image Computing: Techniques and Applications (DICTA), pages 1--5, 2019. IEEE. [bibtex-key = li2019temporal] [bibtex-entry]

  13. H. Li and C. Nguyen. Perspective-consistent multifocus multiview 3D reconstruction of small objects. In Digital Image Computing: Techniques and Applications (DICTA), pages 1--8, 2019. IEEE. [bibtex-key = li2019perspective] [bibtex-entry]

  14. Q. Liao, D. Wang, H. Holewa, and M. Xu. Squeezed Bilinear Pooling for Fine-Grained Visual Categorization. In International Conference on Computer Vision (ICCV) Workshop, Korea, 27 October - 2 November 2019. [bibtex-key = liao-etal19] [bibtex-entry]

  15. C. Sathirasethawong, C. Sun, A. Lambert, and M. Tahtali. Foreground Object Image Masking via EPI and Edge Detection for Photogrammetry with Static Background. In International Symposium on Visual Computing, Lake Tahoe, Nevada, USA, pages 345--357, 7-9 October 2019. Springer. [DOI] [bibtex-key = sathirasethawong-etal19] [bibtex-entry]

  16. G. Wang, C. Sun, and A. Sowmya. ERL-Net: Entangled Representation Learning for Single Image De-Raining. In Proceedings of International Conference on Computer Vision, Seoul, Korea, pages 5643--5651, 27 October-3 November 2019. [WWW] [DOI] [bibtex-key = wang-etal19iccv_erlnet] [bibtex-entry]

  17. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Kernel Mean p Power Error Loss for Robust Two-Dimensional Singular Value Decomposition. In Proceedings of International Conference on Image Processing, Taipei, Taiwan, pages 3432--3436, 22-25 September 2019. [DOI] [bibtex-key = zhang-etal19icip_ppower] [bibtex-entry]

  18. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Robust Sparse Learning Based on Kernel Non-second Order Minimization. In Proceedings of International Conference on Image Processing, Taipei, Taiwan, pages 2045--2049, 22-25 September 2019. [DOI] [bibtex-key = zhang-etal19icip_sparse] [bibtex-entry]

2018
  1. M. Dai, S. Cheng, X. He, and D. Wang. Object tracking in the presence of shaking motions. Neural Computing and Applications, 2018. [bibtex-key = Dai-etal18s0052] [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Tuberculosis (TB) Classification in Chest Radiographs Using Deep Convolutional Neural Networks. International Journal of Advances in Science, Engineering, and Technology, 6(3), 2018. [bibtex-key = Dai-etal18s0052] [bibtex-entry]

  3. M. Li and C. Sun. Refinement of LiDAR point clouds using a super-voxel-based approach. ISPRS Journal of Photogrammetry and Remote Sensing, 14:213--221, September 2018. [DOI] [bibtex-key = li-sun18ijprs] [bibtex-entry]

  4. Z. Liu, X. Bai, C. Sun, F. Zhou, and Y. Li. Multi-modal ship target image smoothing based on adaptive mean shift. IEEE Access, 6:12573--12586, March 2018. [DOI] [bibtex-key = liu-etal18access] [bibtex-entry]

  5. Y. Liu, K. Xu, and D. Wang. Online Surface Defect Identification of Cold Rolled Strips Based on Local Binary Pattern and Extreme Learning Machine. Metals, 8(3):1--18, March 2018. [DOI] [bibtex-key = liu-etal18metals] [bibtex-entry]

  6. S. Zhang, G. Tang, X. Liu, S. Luo, and D. Wang. Retinex based low-light image enhancement using guided filtering and variational framework. Optoelectronics Letters, 14(2):156--160, March 2018. [DOI] [bibtex-key = zhang-etal18s11801] [bibtex-entry]

  7. Y. Zhang, G. Tang, X. Liu, and C. Sun. Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segmentation. KSII Transactions on Internet and Information Systems, 12(9):4375--4388, September 2018. [DOI] [bibtex-key = zhang-etal18tiis] [bibtex-entry]

  8. P. Zhou, K. Xu, and D. Wang. Rail Profile Measurement Based on Line-structured Light Vision. IEEE Access, 2018. [DOI] [bibtex-key = zhou-etal18access] [bibtex-entry]

  9. S. Amirgholipour, X. He, W. Jia, D. Wang, and M. Zeibots. A-CCNN: Adaptive CCNN For Density Estimation and Crowd Counting. In 2018 IEEE International Conference on Image Processing, Athens, Greece, 7-10 October 2018. [bibtex-key = ami-etal18ICIP] [bibtex-entry]

  10. X. Han, C. Nguyen, S. You, and J. Lu. Single Image Water Hazard Detection Using FCN with Reflection Attention Units. In V. Ferrari, M. Hebert, C. Sminchisescu, and Y. Weiss, editors, Computer Vision -- ECCV 2018, Cham, pages 105--121, 2018. Springer International Publishing. [bibtex-key = 10.1007/978-3-030-01231-1_7] [bibtex-entry]

  11. T. He, Z. Tian, W. Huang, C. Shen, Y. Qiao, and C. Sun. An End-to-End TextSpotter with Explicit Alignment and Attention. In Proceedings of Computer Vision and Pattern Recognition, Salt Lake City, Utah, USA, pages 5020--5029, 18-22 June 2018. [WWW] [DOI] [bibtex-key = he-etal18cvpr] [bibtex-entry]

  12. Q. Liao, D. Wang, and M. Xu. Fine-Grained Categorization by Deep Part-Collaboration Convolution Net. In DICTA, Canberra, Australia, 10-13 December 2018. [bibtex-key = liao-etal18DICTA] [bibtex-entry]

  13. M. Menikdiwela, C. Nguyen, and M. Shaw. Deep Learning on Brain Cortical Thickness Data for Disease Classification. In 2018 Digital Image Computing: Techniques and Applications (DICTA), pages 1-5, December 2018. [DOI] [bibtex-key = 8615775] [bibtex-entry]

  14. F. Rusak, Y. Arzhaeva, and D. Wang. Content-Aware Image Augmentation for Medical Imaging Applications. In 20th International Conference on Radiology and Medical Imaging, London, United Kingdom, 27-28 September 2018. [bibtex-key = rusak-etal18ICRMI] [bibtex-entry]

  15. D. Wang, G. Tuck, R. Little, and R. Li. Advances in the automated detection and recording of capture events from on-vessel video footage. In International Fisheries Observer and Monitoring Conference, Vigo, Spain, 11-15 June 2018. [bibtex-key = wang2018ifomc] [bibtex-entry]

  16. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Matching Pursuit Based on Kernel Non-second Order Minimization. In Proceedings of International Conference on Image Processing, Athens, Greece, pages 3858--3862, 7-10 October 2018. [DOI] [bibtex-key = zhang-etal18icip] [bibtex-entry]

  17. Y. Zhao, D. Grillmeier, A. Pourkhesalian, C. Solnordal, D. Wang, C. Cprsi, L. Li, and L. Wardhaugh. Fundamental aspects of the rotating liquid sheet contactor. In 14th International Conference on Greenhouse Gas Control Technologies, Melbourne, Australia, 21-25 October 2018. [bibtex-key = zhao-etal18GHGT] [bibtex-entry]

2017
  1. M. Berman, L. Bischof, R. Lagerstrom, Y. Guo, J. Huntington, P. Mason, and A. Green. A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra. IEEE Transactions on Geoscience and Remote Sensing, 55(6):3588--3610, June 2017. [DOI] [bibtex-key = berman-etal17] [bibtex-entry]

  2. Y. Jiang, C. Sun, Y. Zhao, and L. Yang. Image Dehazing Using Adaptive Bi-Channel Priors on Superpixels. Computer Vision and Image Understanding, 165:17--32, December 2017. [DOI] [bibtex-key = jiang-etal17cviu] [bibtex-entry]

  3. Y. Jiang, C. Sun, Y. Zhao, and L. Yang. Fog Density Estimation and Image Defogging Based on Surrogate Modeling for Optical Depth. IEEE Transactions on Image Processing, 26(7):3397--3409, July 2017. [DOI] [bibtex-key = jiang-etal17tip] [bibtex-entry]

  4. D. Li, C. Sun, J. Yang, H. Liu, J. Peng, and L. Zhang. Robust Multi-frame Adaptive Optics Image Restoration Algorithm Using Maximum Likelihood Estimation with Poisson Statistics. Sensors, 17(4):785, April 2017. [DOI] [bibtex-key = li-etal17sensors] [bibtex-entry]

  5. X. Tan, C. Sun, F. Shen, and K.-Y. Wong. Efficient Message Passing Methods with Fully Connected Models for Early Vision. IEEE Transactions on Image Processing, 26(12):5994--6005, December 2017. [DOI] [bibtex-key = tan-etal17tip] [bibtex-entry]

  6. L. Zhu, M. Ma, Z. Zhang, P. Zhang, W. Wu, D. Wang, D. Zhang, X. Wang, and H. Wang. Hybrid deep learning for automated lepidopteran insect image classification. Oriental Insects, 51(2):79--91, 2017. [DOI] [bibtex-key = zhu-etal17oi] [bibtex-entry]

  7. C. Nguyen, M. Adcock, S. Anderson, D. Lovell, N. Fisher, and J. La Salle. Towards High-Throughput 3D Insect Capture for Species Discovery and Diagnostics. In 2017 IEEE 13th International Conference on e-Science (e-Science), pages 559-560, October 2017. [DOI] [bibtex-key = 8109195] [bibtex-entry]

  8. B. Wang, Y. Gao, C. Sun, M. Blumenstein, and J. La Salle. Can Walking and Measuring along Chord Bunches Better Describe Shapes?. In Proceedings of Computer Vision and Pattern Recognition, Honolulu, Hawaii, USA, pages 2047--2056, 22-25 July 2017. [WWW] [DOI] [bibtex-key = wang-etal17cvpr] [bibtex-entry]

  9. G. Zhou, G. Du, Y. Wang, D. Wang, and T. Xiao. A low dose and in-vivo imaging system based on equally sloped tomography. In IEEE International Symposium on Biomedical Imaging (ISBI), pages 60--63, 2017. IEEE. [DOI] [bibtex-key = zhou2017low] [bibtex-entry]

2016
  1. F. Westling, C. Sun, D. Wang, and F. I. Alam. Fish Counting and Measurement: A Modular Framework and Implementation. In J. Zhou, X. Bai, and T. Caelli, editors,Computer Vision and Pattern Recognition in Environmental Informatics, chapter 3, pages 41--57. IGI Global, 2016. [DOI] [bibtex-key = westling-etal16chapt] [bibtex-entry]

  2. R. Balez, N. Steiner, M. Engel, S. Sanz Munoz, J. Lum, Y. Wu, D. Wang, P. Vallotton, P. Sachdev, M. O'Connor, K. Sidhu, G. Münch, and L. Ooi. Neuroprotective effects of apigenin against inflammation, neuronal excitability and apoptosis in an induced pluripotent stem cell model of Alzheimer's disease. Scientific Reports, 6:31450, August 2016. [DOI] [bibtex-key = ooi-etal16sr] [bibtex-entry]

  3. L. Bischof, M. Prevorovsky, C. Rallis, D. C. Jeffares, Y. Arzhaeva, and J. Bähler. Spotsizer: High-throughput quantitative analysis of microbial growth. BioTechniques, 2016. [bibtex-key = jeffares-etal15] [bibtex-entry]

  4. E. Gates-Stuart, C. Nguyen, M. Adcock, J. Bradley, M. Morell, and D. Lovell. Art and science as creative catalysts. Leonardo, 49(5):452--453, 2016. [bibtex-key = gates2016art] [bibtex-entry]

  5. Y. Jiang, C. Sun, X. Tan, and L. Yang. Orientation-Guided Geodesic Weighting for PatchMatch-based Stereo Matching. Information Sciences, 334-335:293--306, March 2016. [DOI] [bibtex-key = jiang-etal16is] [bibtex-entry]

  6. R. Lagerstrom, Y. Arzhaeva, P. Szul, O. Obst, R. Power, B. Robinson, and T. Bednarz. Image Classification to Support Emergency Situation Awareness. Frontiers in Robotics and AI, 3:54, 2016. [DOI] [bibtex-key = lagerstrom-etal16frai] [bibtex-entry]

  7. X. Li, S. Luo, Q. Hu, J. Li, D. Wang, and F. Chiong. Automatic Lung Field Segmentation in X-ray Radiographs Using Statistical Shape and Appearance Models. Journal of Medical Imaging and Health Informatics, 6(2):338--348, April 2016. [DOI] [bibtex-key = Li:2016-04-01T00:00:00:2156-7018:338] [bibtex-entry]

  8. M. Li, Z. Sun, S. Liu, Y. Ma, H. Ma, C. Sun, and Y. Jia. Stereo Vision Technologies for China's Lunar Rover Exploration Mission. International Journal of Robotics and Automation, 31(2):128--136, March 2016. [DOI] [bibtex-key = li-etal16ijra] [bibtex-entry]

  9. J. Li, J. K. Ward, J. Tong, L. Collins, and G. Platt. Machine Learning for Solar Irradiance Forecasting of Photovoltaic System. Journal of Renewable Energy, 90:542--553, May 2016. [DOI] [bibtex-key = li-etal16jre] [bibtex-entry]

  10. Z. Liu, X. Bai, C. Sun, F. Zhou, and Y. Li. Infrared ship target segmentation through integration of multiple feature maps. Image and Vision Computing, 48-49:14--25, April-May 2016. [DOI] [bibtex-key = liu-etal16ivc] [bibtex-entry]

  11. R. Su, C. Zhang, T. D. Pham, R. Davey, L. Bischof, P. Vallotton, D. Lovell, S. Hope, S. Schmoelzl, and C. Sun. Detection of Tubule Boundaries based on Circular Shortest Path and Polar-Transformation of Arbitrary Shape. Journal of Microscopy, 264(2):127--142, November 2016. [DOI] [bibtex-key = su-etal16jmi] [bibtex-entry]

  12. H. Tan, Y. Fu, D. Wang, X. Zhang, and T. Xiao. Quantitative analysis of 3D vasculature for evaluation of angiogenesis in liver fibrosis with SR-uCT. Nuclear Science and Techniques, 27(125):1--9, September 2016. [DOI] [bibtex-key = tan-etal16nst] [bibtex-entry]

  13. X. Tan, C. Sun, and T. D. Pham. Stereo Matching based on Multi-Direction Polynomial Model. Signal Processing: Image Communication, 44:44--56, May 2016. [DOI] [bibtex-key = tan-etal16spic] [bibtex-entry]

  14. X. Tan, C. Sun, and T. D. Pham. Edge-aware Filtering with Local Polynomial Approximation and Rectangle-based Weighting. IEEE Transactions on Cybernetics, 46(12):2693--2705, December 2016. [DOI] [bibtex-key = tan-etal16cyb] [bibtex-entry]

  15. X. Tan, C. Sun, K.-Y. K. Wong, and T. D. Pham. Guided Image Completion by Confidence Propagation. Pattern Recognition, 50:210--222, February 2016. [DOI] [bibtex-key = tan-etal16pr] [bibtex-entry]

  16. H. Tan, D. Wang, R. Li, C. Sun, R. Lagerstrom, Y. He, Y. Xue, and T. Xiao. A robust method for high-precision quantification of the complex three-dimensional vasculatures acquired by X-ray microtomography. Journal of Synchrotron Radiation, 23(5):1216--1226, September 2016. [DOI] [bibtex-key = tan-etal16jsr] [bibtex-entry]

  17. D. Wang, L. Bischof, R. Lagerstrom, V. Hilsenstein, A. Hornabrook, and G. Hornabrook. Automated Opal Grading by Imaging and Statistical Learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(2):185--201, February 2016. [DOI] [bibtex-key = wang-etal16smc] [bibtex-entry]

  18. X. Xiong, F. Zhou, X. Bai, B. Xue, and C. Sun. Semi-automated Infrared Simulation on Real Urban Scenes from Multi-view Images. Optics Express, 24(11):11345--11375, May 2016. [DOI] [bibtex-key = xiong-etal16oe] [bibtex-entry]

  19. L. Zhu, X. Wang, D. Wang, and H. Wang. Single image depth estimation based on Convolutional Neural Network and sparse connected Conditional Random Field. Optical Engineering, 55(10):103101, October 2016. [DOI] [bibtex-key = zhu-etal16oe] [bibtex-entry]

  20. J. Li and J. H. Braslavsky. Optimal Sizing of Photovoltaic and Battery for Residential House Using Genetic Algorithms. In 8th Asia-Pacific Power and Energy Engineering Conference, Suzhou, China , pages 217--224, 15-17 April 2016. IEEE. [DOI] [bibtex-key = li-etal16appeec] [bibtex-entry]

  21. C. Nguyen, J. Fripp, D. R. Lovell, R. Furbank, P. Kuffner, H. Daily, and X. Sirault. 3D Scanning System for Automatic High-Resolution Plant Phenotyping. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 1--8, 2016. IEEE. [bibtex-key = nguyen20163d] [bibtex-entry]

  22. C. Sun, P. Flemons, Y. Gao, D. Wang, N. Fisher, and J. La Salle. Automated Image Analysis on Insect Soups. In Digital Image Computing: Techniques and Applications, Gold Coast, Queensland, Australia, pages 142--147, 30 November-2 December 2016. [DOI] [bibtex-key = sun-etal16dicta] [bibtex-entry]

  23. B. Wang, Y. Gao, C. Sun, M. Blumenstein, and J. La Salle. A Scale Selection Scheme for Area Integral Invariants. In Digital Image Computing: Techniques and Applications, Gold Coast, Queensland, Australia, pages 545--550, 30 November-2 December 2016. [DOI] [bibtex-key = wang-etal16dicta] [bibtex-entry]

  24. D. Wang, R. Lagerstrom, C. Sun, C. Laukamp, M. Quigley, L. Whitbourn, P. Mason, P. Connor, and L. Fisher. Automated Vein Detection for Drill Core Analysis by Fusion of Hyperspectral and Visible Image Data. In 23rd International Conference on Mechatronics and Machine Vision in Practice, Nanjing, China, 28-30 November 2016. [DOI] [bibtex-key = wang-etal16m2vip] [bibtex-entry]

  25. M. Zhang, Y. Gao, C. Sun, J. La Salle, and J. Liang. Robust Tensor Factorization Using Maximum Correntropy Criterion. In Proceedings of International Conference on Pattern Recognition, Cancun, Mexico, pages 4184--4189, 4-8 December 2016. [DOI] [bibtex-key = zhang-etal16icpr] [bibtex-entry]

2015
  1. C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang. Signal and Image Analysis for Biomedical and Life Sciences, volume 823 of Advances in Experimental Medicine and Biology. Springer, 2015. [WWW] [bibtex-key = sun-etal15siabls] [bibtex-entry]

  2. T. Bednarz, D. Wang, Y. Arzhaeva, R. Lagerstrom, P. Vallotton, N. Budett, A. Khassapov, P. Szul, S. Chen, C. Sun, L. Domanski, D. Thompson, T. Gureyev, and J. Taylor. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 11, pages 191--205. Springer, 2015. [DOI] [bibtex-key = bednarz-etal15] [bibtex-entry]

  3. R. Lagerstrom, K. Holt, Y. Arzhaeva, L. Bischof, S. Haberle, F. Hopf, and D. Lovell. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 12, pages 207--226. Springer, 2015. [DOI] [bibtex-key = lagerstrom-etal15chapter] [bibtex-entry]

  4. R. Li, D. Wang, C. Sun, R. Lagerstrom, H. Tan, Y. He, and T. Xiao. Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 10, pages 177--189. Springer, 2015. [DOI] [bibtex-key = li-etal15chapter] [bibtex-entry]

  5. M. Adcock and C. Gunn. Using Projected Light for Mobile Remote Guidance. Computer Supported Cooperative Work, 24(6):591--611, 2015. [bibtex-key = adcock2015using] [bibtex-entry]

  6. N. M. Altarawneh, S. Luo, B. Regan, and C. Sun. A Modified Distance Regularized Level Set Model for Liver Segmentation from CT Images. Signal and Image Processing: An International Journal, 6(1):1--11, February 2015. [DOI] [bibtex-key = altarawneh-etal15sipij] [bibtex-entry]

  7. I. Arganda-Carreras, D. Berger, D. Ciresan, A. Giusti, L. M. Gambardella, J. Schmidhuber, D. Laptev, S. Dwivedi, J. Buhmann, T. Liu, M. Seyedhosseini, T. Tasdizen, L. Kamentsky, R. Burget, V. Uher, X. Tan, C. Sun, T. D. Pham, E. Bas, M. G. Uzunbas, S. Turaga, A. Cardona, J. Schindelin, and H. S. Seung. Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy, 9:142, November 2015. [DOI] [bibtex-key = arganda-carreras-etal15fn] [bibtex-entry]

  8. X. Bai, P. Wang, C. Sun, F. Zhou, Y. Zhang, and C. Meng. Finding Splitting Lines for Touching Cell Nuclei with a Shortest Path Algorithm. Computers in Biology and Medicine, 63:277--286, August 2015. [DOI] [bibtex-key = bai-etal15cbm] [bibtex-entry]

  9. D. C. Jeffares, C. Rallis, A. Rieux, D. Speed, M. Prevorovsky, T. Mourier, F. X. Marsellach, Z. Iqbal, W. Lau, T. M. K. Cheng, R. Pracana, M. Mulleder, J. L. D. Lawson, A. Chessel, S. Bala, G. Hellenthal, B. O'Fallon, T. Keane, J. T. Simpson, L. Bischof, B. Tomiczek, D. A. Bitton, T. Sideri, S. Codlin, J. E. E. U. Hellberg, L. van Trigt, L. Jeffery, J.-J. Li, S. Atkinson, M. Thodberg, M. Febrer, K. McLay, N. Drou, W. Brown, J. Hayles, R. E. Salas, M. Ralser, N. Maniatis, D. J. Balding, F. Balloux, R. Durbin, and J. Bahler. The genomic and phenotypic diversity of Schizosaccharomyces pombe. Nat Genet, 47(3):235--241, March 2015. [DOI] [bibtex-key = jeffares-etal15] [bibtex-entry]

  10. M. Li, S. Liu, Z. Sun, C. Sun, and Y. Jia. Descent Images Based Landing Area Terrain Reconstruction Technology for China's Chang'e-3 Lunar Exploration Mission. The Imaging Science Journal, 63(8):440--446, November 2015. [DOI] [bibtex-key = li-etal15isj] [bibtex-entry]

  11. H. Rezatofighi, S. Gould, B. T. Vo, B.-N. Vo, K. Mele, and R. Hartley. Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences. IEEE Transactions on Medical Imaging, 34(6):1336--1348, June 2015. [DOI] [bibtex-key = Rezatofighi:TMI2015] [bibtex-entry]

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  13. H. Tan, D. Wang, Y. Xue, Y. Wang, Y. Yang, and T. Xiao. Implementation of Parallel Computation and Accelerating Analysis for 3D Thinning Skeletonisation Based on OpenMP. ACTA Optica Sinica, 35(11):1117003, 2015. [bibtex-key = Tan-etal15ACTA] [bibtex-entry]

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  15. M. Yuwono, Y. Guo, J. Wall, J. Li, S. West, G. Platt, and S. W Su. Unsupervised Feature Selection using Swarm Intelligence and Consensus Clustering for Automatic Fault Detection and Diagnosis in Heating Ventilation and Air Conditioning Systems. Journal of Applied Soft Computing, 34:402--425, September 2015. [DOI] [bibtex-key = Yuwono-etal15jasc] [bibtex-entry]

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  20. D. Jenkins, M. Mahoney, R. Roest, H. Lomas, R. Pearce, R. Li, S. Mayo, and D. Wang. Micro-CT analysis of coke and its relationship to coke quality indicators. In 7th International Congress on the Science and Technology of Ironmaking, Cleveland Ohio, USA, 4-7 May 2015. [bibtex-key = jenkins-etal15icsti] [bibtex-entry]

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  23. S. Luo, X. Li, D. Wang, J. Li, and C. Sun. Automatic Fish Recognition and Counting in the Video Footage of Fishery Operations. In International Conference on Computational Intelligence and Communication Networks, Jabalpur, India , pages 296--299, 12-14 December 2015. IEEE. [DOI] [bibtex-key = Luo-etal15cicn] [bibtex-entry]

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2014
  1. N. M. Altarawneh, S. Luo, B. Regan, C. Sun, and F. Jia. Global Threshold and Region-based Active Contour Model for Accurate Image Segmentation. Signal and Image Processing: An International Journal, 5(3):1--11, June 2014. [DOI] [bibtex-key = altarawneh-etal14sipij] [bibtex-entry]

  2. Z. Liu, F. Zhou, X. Chen, X. Bai, and C. Sun. Iterative infrared ship target segmentation based on multiple features. Pattern Recognition, 47(9):2839--2852, September 2014. [DOI] [bibtex-key = liu-etal14pr] [bibtex-entry]

  3. K. Mele, B. M. T. Lekamge, V. Fazio, and J. Newman. Using Time-Courses to Enrich the Information Obtained from Images of Crystallization Trials. Crystal Growth & Design, 14(1):261--269, 2014. [DOI] [bibtex-key = mele-etal14] [bibtex-entry]

  4. K. Mele, R. Li, V. Fazio, and J. Newman. Quantifying the quality of the experiments used to grow protein crystals: the iQC suite. Journal of Applied Crystallography, 47(3):1097--1106, June 2014. [DOI] [bibtex-key = mele-etal14jac] [bibtex-entry]

  5. C. Nguyen, D. Lovell, M. Adcock, and J. La Salle. Capturing natural-colour 3D models of insects for species discovery and diagnostics. PLoS One, 9(4):e94346, 2014. [DOI] [bibtex-key = Nguyen2014] [bibtex-entry]

  6. M. Payne, D. Wang, C. Sinclair, R. Kapsa, A. Quigley, G. Wallace, J. Razal, R. Baughman, G. Münch, and P. Vallotton. Automated quantification of neurite outgrowth orientation distributions on patterned surfaces. Journal of Neural Engineering, 11(4):046006, 2014. [DOI] [bibtex-key = payne-etal14] [bibtex-entry]

  7. S. Rueda, S. Fathima, C. Knight, M. Yaqub, A. T. Papageorghiou, B. Rahmatullah, A. Foi, M. Maggioni, A. Pepe, J. Tohka, R. V. Stebbing, J. E. McManigle, A. Ciurte, X. Bresson, M. B. Cuadra, C. Sun, G. V. Ponomarev, M. S. Gelfand, M. D. Kazanov, C.-W. Wang, H.-C. Chen, C.-W. Peng, C.-M. Hung, and J. A. Noble. Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Transactions on Medical Imaging, 33(4):797--813, April 2014. [DOI] [bibtex-key = rueda-etal14] [bibtex-entry]

  8. R. Su, C. Sun, C. Zhang, and T. D. Pham. A Novel Method for Dendritic Spines Detection Based on Directional Morphological Filter and Shortest Path. Computerized Medical Imaging and Graphics, 38(8):793--802, December 2014. [DOI] [bibtex-key = su-etal14cmig] [bibtex-entry]

  9. R. Su, C. Sun, C. Zhang, and T. D. Pham. A New Method for Linear Feature and Junction Enhancement in 2D Images based on Morphological Operation, Oriented Anisotropic Gaussian Function and Hessian Information. Pattern Recognition, 47(10):3193--3208, October 2014. [DOI] [bibtex-key = su-etal14pr] [bibtex-entry]

  10. X. Tan, C. Sun, X. Sirault, R. Furbank, and T. D. Pham. Stereo Matching using Cost Volume Watershed and Region Merging. Signal Processing: Image Communication, 29(10):1232--1244, November 2014. [DOI] [bibtex-key = tan-etal14spic] [bibtex-entry]

  11. H. Vindin, L. Bischof, P. Gunning, and J. Stehn. Validation of an Algorithm to Quantify Changes in Actin Cytoskeletal Organization for High-Throughput Analysis. Journal of Biomolecular Screening, 19(3):354--368, 2014. [DOI] [bibtex-key = Vindin-etal2014] [bibtex-entry]

  12. D. Wang, D. Bourke, L. Domanski, and P. Vallotton. Speeding up the Analysis of Neuron Morphology using Parallel Processing. Journal of Molecular Imaging & Dynamics, 4:115, 2014. [DOI] [bibtex-key = wang-etal14jmid] [bibtex-entry]

  13. A. Whan, A. Smith, C. Cavanagh, J.-P. Ral, L. Shaw, C. Howitt, and L. Bischof. GrainScan: a low cost, fast method for grain size and colour measurements. Plant Methods, 10(1):23, 2014. [DOI] [bibtex-key = 25050131] [bibtex-entry]

  14. L. Zhu and D. Wang. Suppression of Ring artifacts in Synchrotron Radiation Images Using Heterogeneous Computing based on Improved Wavelet. Journal of Computational Information Systems, 10(2):523--530, 2014. [bibtex-key = Zhu-etal14JCIS] [bibtex-entry]

  15. L. Zhu, D. Wang, and H. Wang. An improved method for the removal of ring artifacts in synchrotron radiation images by using GPGPU computing with compute unified device architecture. Concurrency and Computation: Practice and Experience, 26(18):2880--2892, December 2014. [DOI] [bibtex-key = zhu-etal14] [bibtex-entry]

  16. M. Adcock, C. Nguyen, D. Lovell, and J. La Salle. Accelerating entomology with Web3D insects. In Proceedings of the 19th International ACM Conference on 3D Web Technologies, pages 143--143, 2014. ACM. [bibtex-key = adcock2014accelerating] [bibtex-entry]

  17. N. M. Altarawneh, S. Luo, B. Regan, and C. Sun. A Novel Global Threshold-based Active Contour Model. In 2nd International Conference on Signal, Image Processing and Pattern Recognition, Sydney, Australia, pages 245--254, 21-22 February 2014. [DOI] [bibtex-key = altarawneh-etal14sipp] [bibtex-entry]

  18. N. M. Altarawneh, S. Luo, B. Regan, and C. Sun. Liver segmentation from CT images using a modified distance regularized level set model based on a novel balloon force. In International Conference on Signal, Image Processing and Multimedia, Sydney, Australia, pages 161--170, 27-28 December 2014. [DOI] [bibtex-key = altarawneh-etal14spm] [bibtex-entry]

  19. P. Gough, X. Ho, K. Dunn, and T. Bednarz. Art and Chartjunk: A Guide for NEUVis. In 7th International Symposium on Visual Information Communication and Interaction, Sydney, Australia, August 2014. [bibtex-key = Gough-etal2014vinci] [bibtex-entry]

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  21. D. Jenkins, M. R. Mahoney, R. H. Pearce, A. D. Miller, S. Mayo, D. Wang, R. Roest, H. Lomas, and R. Li. Micro-CT analysis of the microstructure of metallurgical coke for evaluation of coke quality. In the 2nd International Congress on 3D Materials Science, Annecy, France, 29 June - 2 July 2014. [bibtex-key = Jen-etal14IC3DMS] [bibtex-entry]

  22. L. Jiang, S. Luo, and J. Li. Intelligent electrical event recognition on general household power appliances. In 15th IEEE Workshop on Control and Modeling for Power Electronics, Santander, Spain , 22-25 June 2014. IEEE. [bibtex-key = Jiang-etal14iwcmpwe] [bibtex-entry]

  23. Z. Liu, C. Sun, X. Bai, and F. Zhou. Infared ship target image smoothing based on adaptive range bandwidth mean shift. In Digital Image Computing: Techniques and Applications, Wollongong, Australia, pages 375--382, 25-27 November 2014. [DOI] [bibtex-key = liu-etal14dicta] [bibtex-entry]

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  27. D. Wang, H. Tan, R. Li, Y. He, and T. Xiao. Automated Quantification of 3D Vasculature Using Synchrotron Radiation X-Ray Microtomography. In The 12th International Conference on X-Ray Microscopy, Melbourne, Australia, 26-31 October 2014. [bibtex-key = wang-etal14XRM] [bibtex-entry]

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2013
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  2. R. Li and P. K. Robertson. Towards Perceptual Control of Markov Random Field Textures. In G. Grinstein and H. Levkowitz, editors,Perceptual Issues in Visualization, chapter 10 . Springer Science Business Media, 2013. [bibtex-key = Springer] [bibtex-entry]

  3. L. Bennett, C. Kersaitis, S. L. Macaulay, G. Münch, G. Niedermayer, J. Nigro, M. Payne, P. Sheean, P. Vallotton, D. Zabaras, and M. Bird. Vitamin D2-Enriched Button Mushroom (Agaricus bisporus) Improves Memory in Both Wild Type and APPswe/PS1dE9 Transgenic Mice. PLOS ONE, 2013. [DOI] [bibtex-key = Bennett-Vallotton13] [bibtex-entry]

  4. J. G. Burchfield, J. Lu, D. J. Fazakerley, S. X. Tan, Y. Ng, K. Mele, M. J. Buckley, W. Han, W. E. Hughes, and D. E. James. Novel Systems for Dynamically Assessing Insulin Action in Live Cells Reveals Heterogeneity in the Insulin Response. Traffic, 14(3):259--273, March 2013. [DOI] [bibtex-key = burchfield-etal13Traffic] [bibtex-entry]

  5. L. Domanski, T. Bednarz, T. Gureyev, L. Murray, B. E. Huang, Ya. I. Nesterets, D. Thompson, E. Jones, C. Cavanagh, D. Wang, P. Vallotton, C. Sun, A. Khassapov, A. Stevenson, S. Mayo, M. Morell, A. W. George, and J. A. Taylor. Applications of Heterogeneous Computing in Computational and Simulation Science. International Journal of Computational Science and Engineering, 8(3):240--252, 2013. [DOI] [bibtex-key = domanski-etal13ijcse] [bibtex-entry]

  6. E. S. Gloag, L. Turnbull, A. Huang, P. Vallotton, H. Wang, L. M. Nolan, L. Mililli, C. Hunt, J. Lua, S. R. Osvath, L. G. Monahan, R. Cavaliere, I. G. Charles, M. P. Wand, M. L. Geed, R. Prabhakar, and C. B. Whitchurch. Self-organization of bacterial biofilms is facilitated by extracellular DNA. PNAS, 110(28):11541--11546, 2013. [DOI] [bibtex-key = gloag-etal13pnas] [bibtex-entry]

  7. Y. Guo, J. Wall, J. Li, and S. West. Intelligent Model Based Fault Detection and Diagnosis for HVAC System Using Statistical Machine Learning Methods. ASHRAE Transactions, 119:1--8, 2013. [DOI] [bibtex-key = Guo-etal13jat] [bibtex-entry]

  8. L. Jiang, S. Luo, and J. Li. Intelligent electrical appliance event recognition using multi-load decomposition. Advanced Materials Research, 805-806:1039--1045, September 2013. [DOI] [bibtex-key = Jiang-etal13jamr] [bibtex-entry]

  9. J. Li, Y. Guo, G. Platt, and J. K Ward. Renewable Energy Aggregation with Intelligent Battery Controller. Journal Renewable Energy, 4:220--228, November 2013. [DOI] [bibtex-key = Li-etal13jre] [bibtex-entry]

  10. X. Li, S. Luo, and J. Li. Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set. Journal of Signal and Information Processing, 4:36--42, August 2013. [DOI] [bibtex-key = Li-etal13jsip] [bibtex-entry]

  11. J. Li, G. Platt, and G. James. Demand Management of Distributed Energy Resources Based on GA Optimization. Journal of Dynamic Systems, Measurement and Control, 136:0210141--0210147, March 2013. [DOI] [bibtex-key = Li-etal13jdsmc] [bibtex-entry]

  12. J. Li, S. West, and G. Platt. Power Signature Based NonIntrusive Load Disaggregation. International Journal of Modelling, Identification and Control, 20:16--24, 2013. [DOI] [bibtex-key = Li-etal13jmic] [bibtex-entry]

  13. S. Luo and J. Li. Nonrigid Object Modelling and Visualization for Hepatic Surgery Planning in e-Health. Advances in Multimedia Modeling, 7733:521--524, January 2013. [DOI] [bibtex-key = Luo-etal13jamm] [bibtex-entry]

  14. C. Nickson, Y. Arzhaeva, Z. Aitken, T. Elgindy, M. Buckley, M. Li, D. R. English, and A. M. Kavanagh. AutoDensity: An automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes. Breast Cancer Research, 15:R80, 2013. [DOI] [bibtex-key = nickson-etal13] [bibtex-entry]

  15. P. Vallotton and S. Olivier. Tri-track: free software for large scale particle tracking. Microscopy and Microanalysis, 19(2):451--460, April 2013. [DOI] [bibtex-key = vallotton-etal13] [bibtex-entry]

  16. P. Vallotton. Size matters: Filamentous bacteria drive interstitial vortex formation and colony expansion in Paenibacillus vortex. Cytometry A, 83(12):1105--1112, December 2013. [DOI] [bibtex-key = Vallotton13] [bibtex-entry]

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  18. C. Zhang, C. Sun, and T. D. Pham. Segmentation of Clustered Nuclei Based on Concave Curve Expansion. Journal of Microscopy, 251(1):57--67, July 2013. [DOI] [bibtex-key = zhang-etal13jmi] [bibtex-entry]

  19. C. Zhang, C. Sun, P. Vallotton, M. Fenech, and T. D. Pham. Automatic Nuclear Bud Detection Using Ellipse Fitting, Moving Sticks, or Top-hat Transformation. Journal of Microscopy, 252(2):122--134, November 2013. [DOI] [bibtex-key = zhang-etal13bud] [bibtex-entry]

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  21. T. Bednarz, P. Szul, Y. Arzhaeva, D. Wang, N. Burdett, A. Khassapov, S. Chen, P. Vallotton, R. Lagerstrom, T. Gureyev, and J. Taylor. Biomedical image analysis and processing in clouds. In 2013 International Symposium on Computational Models for Life Sciences, volume 1559, Sydney, Australia, pages 77--79, 27-29 November 2013. AIP. [bibtex-key = bednarz-etal13cmls] [bibtex-entry]

  22. S. Chen, T. Bednarz, P. Szul, D. Wang, Y. Arzhaeva, N. Burdett, A.hassapov, and J. Zic. Galaxy + Hadoop: Toward a Collaborative and Scalable Image Processing Toolbox in Cloud. In 11th International Conference on Service Oriented Computing, Berlin, Germany, pages 339-351, 2-5 December 2013. [bibtex-key = chen-etal13ICSOC] [bibtex-entry]

  23. M. Hosseini, A. Sowmya, P. Vallotton, and T. Bednarz. High precision localization of bacteria. In 2013 International Symposium on Computational Models for Life Sciences, volume 1559, Sydney, Australia, pages 215--220, 27-29 November 2013. AIP. [bibtex-key = Hosseini-etal13cmls] [bibtex-entry]

  24. M. Hosseini, P. Vallotton, T. Bednarz, and A. Sowmya. A study of touchless versus touch-based interactions with bacterial biofilm images. In Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry, Hong Kong, pages 285--290, November 2013. ACM. [bibtex-key = Hosseini-etal13siggraph] [bibtex-entry]

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  33. H. Rezatofighi, S. Gould, B.-N. Vo, R. Hartley, K. Mele, and W. E. Hughes. A multiple model probability hypothesis density tracker for time-lapse cell microscopy sequences. In IPMI, 2013. [bibtex-key = Rezatofighi:IPMI2013] [bibtex-entry]

  34. H. Rezatofighi, W. T. E. Pitkeathly, S. Gould, R. Hartley, K. Mele, W. E. Hughes, and J. G. Burchfield. A Framework for Generating Realistic Synthetic Sequences of Total Internal Reflection Flourescence Microscopy Images. In ISBI, 2013. [bibtex-key = Rezatofighi:ISBI2013] [bibtex-entry]

  35. X. Sirault, J. Fripp, A. Paproki, P. Kuffner, H. Daily, R. Li, and R. Furbank. PlantScan: a three-dimensional phenotyping platform for capturing the structural dynamic of plant development and growth. In R. Sievanen, E. Nikinmaa, C. Godin, A. Lintunen, and P. Nygren, editors, Proceedings of the Seventh International Conference on Functional-Structural Plant Models, pages 45--48, 2013 . [bibtex-key = PlantScan] [bibtex-entry]

  36. X. Sirault, J. Fripp, A. Paproki, P. Kuffner, C. Nguyen, R. Li, H. Daily, J. Guo, and R. Furbank. PlantScanâ„¢: a three-dimensional phenotyping platform for capturing the structural dynamic of plant development and growth. In FSPM2013 Proceedings, 2013. [bibtex-key = sirault2013plantscan] [bibtex-entry]

  37. C. Sun. Trinocular Stereo Image Rectification in Closed-form Just Using Fundamental Matrices. In IEEE International Conference on Image Processing, Melbourne, Australia, pages 2212--2216, 15-18 September 2013. [DOI] [bibtex-key = sun13icip] [bibtex-entry]

  38. D. Wang, T. Bednarz, Y. Arzhaeva, P. Szul, S. Chen, N. Burdett, A. Khassapov, T. Gureyev, and J. Taylor. Cloud Computing for High Performance Image Analysis on a National Infrastructure. In 13th IEEE/ACM International Symposium On Cluster, Cloud And Grid Computing, Delft, Netherlands, pages 172--173, 13-16 May 2013. [bibtex-key = Wang-etal13ccgrid] [bibtex-entry]

  39. D. Wang, T. Bednarz, Y. Arzhaeva, P. Szul, S. Chen, N. Burdett, A. Khassapov, T. Gureyev, and J. Taylor. Cloud-based Services for Biomedical Image Analysis. In The 3rd International Conference on Cloud Computing and Services Science, Aachen, Germany, pages 350--357, 8-10 May 2013. [bibtex-key = Wang-etal13closer] [bibtex-entry]

  40. M. Yuwono, S. W. Su, Y. Guo, J. Wall, J. Li, and S. West. Automatic Feature Selection using Multiobjective Cluster Optimization for Fault Detection in a Heating Ventilating and Air Conditioning System. In 1st International Conferenec on Artificial Intelligence, Modelling and Simulation, Malaysia , 3-5 December 2013. [bibtex-key = Yuwono-etal13icaims] [bibtex-entry]

  41. C. Zhang, C. Sun, R. Davey, R. Su, L. Bischof, P. Vallotton, D. Lovell, S. Hope, S. Lehnert, and T. D. Pham. Tubule Detection in Testis Images Using Boundary Weighting and Circular Shortest Path. In IEEE Engineering in Medicine and Biology Society Conference, Osaka, Japan, pages 3319--3322, 3-7 July 2013. [DOI] [bibtex-key = zhang-etal13embc] [bibtex-entry]

2012
  1. Y. Guo and J. Li. Maximal Margin Algorithms for Pose Estimation. Computational Intelligence and its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques, Book Chapter 1, 2012. [DOI] [bibtex-key = Guo-etal12bkc] [bibtex-entry]

  2. L. Jiang, J. Li, S. Luo, S. West, and G. Platt. Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine. Applied Computational Intelligence and Soft Computing, 2012:Article ID 742461, 2012. [DOI] [bibtex-key = Jiang-etal12jacisc] [bibtex-entry]

  3. R. Lagerstrom and M. Buckley. An Attribute Weighted Distance Transform. Pattern Recognition Letters, 33(16):2141--2147, December 2012. [DOI] [bibtex-key = lagerstrom-etal12prl] [bibtex-entry]

  4. C. Leung, B. Appleton, M. Buckley, and C. Sun. Embedded Voxel Colouring with Adaptive Threshold Selection using Globally Minimal Surfaces. International Journal of Computer Vision, 99(2):215--231, September 2012. [DOI] [bibtex-key = leung-etal12ijcv] [bibtex-entry]

  5. J. Newman, E. E. Bolton, J. Müller-Dieckmann, V. J. Fazio, D. T. Gallagher, D. Lovell, J. R. Luft, T. S. Peat, D. Ratcliffe, R. A. Sayle, E. H. Snell, K. Taylor, P. Vallotton, S. Velanker, and F. von Delft. On the need for an international effort to capture, share and use crystallization screening data. Acta Crystallographica Section F: Structural Biology and Crystallization Communications, 68(3):253--258, March 2012. [bibtex-key = newman-etal12] [bibtex-entry]

  6. R. Su, C. Sun, and T. D. Pham. Junction Detection for Linear Structures Based on Hessian, Correlation and Shape Information. Pattern Recognition, 45(10):3695--3706, October 2012. [DOI] [bibtex-key = su-etal12pr] [bibtex-entry]

  7. Y. Sun, C. J. Lambrides, V. N. Arief, I. H. DeLacy, P. T. Jackway, and I. D. Godwin. Factors Controlling Self-fertility in Sunflower: The Role of SCA Effects, S Alleles and Floret Characteristics. Crop Science, 52(1):128--135, 2012. [DOI] [bibtex-key = sun-12cs] [bibtex-entry]

  8. R. Beare and P. T. Jackway. On Computing Greyscale Morphology with Large Exact Spheres in Arbitrary Dimensions via 1-D Distance Transforms. In Proceedings 2012 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2012), Freemantle, Australia, pages 1--7, December 2012. [DOI] [bibtex-key = beare-12dicta] [bibtex-entry]

  9. T. Bednarz, D. Wang, Y. Arzhaeva, P. Szul, S. Chen, N. Burdett, A. Khassapov, T. Gureyev, and J. Taylor. Cloud-Based Image Analysis and Processing Toolbox for Biomedical Applications. In The 8th International Conference on eScience, Chicago, USA, 8-12 October 2012. [bibtex-key = Bednarz-etal12igarss] [bibtex-entry]

  10. Y. Guo, D. Dehestani, J. Li, J. Wall, and S. West. Intelligent Outlier Detection for HVAC System Fault Detection. In 10th International Conference on Healthy Buildings, Brisbane, Australia , 8-12 July 2012. [bibtex-key = Guo-etal12ichb] [bibtex-entry]

  11. L. Jiang, S. Luo, and J. Li. An Approach of household power Appliance Monitoring Based on Machine Learning. In The 5th International Conference on Intelligent Computation Technology and Automation, Zhangjiajie, China , pages 577--580, 12-13 January 2012. [bibtex-key = Jiang-etal12icicta] [bibtex-entry]

  12. J. Li, Y. Guo, J. Wall, and S. West. Fault Detection for HVAC System. In 10th International Conference on Healthy Buildings, Brisbane, Australia , 8-12 July 2012. [bibtex-key = Li-etal12ichb] [bibtex-entry]

  13. J. Li, S. West, and G. Platt. Power Decomposition Based on SVM Regression. In The 4th International Conference on Modelling, Identification and Control, Wuhan, China , pages 1256--1261, 12-13 January 2012. [bibtex-key = Li-etal12icmic] [bibtex-entry]

  14. S. Luo, J. Li, and S. Seneviratn. Accurate Non-rigid Object Segmentation in Medical Images by Fusing Statistical Features with Structural Features. In Chinese Conference on Pattern Recognition, Beijing, China , pages 404--412, 24-26 September 2012. [bibtex-key = Luo-etal12ccpr] [bibtex-entry]

  15. R. Marchant and P. T. Jackway. Feature Detection from the Maximal Response to a Spherical Quadrature Filter Set. In Proceedings 2012 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2012), Freemantle, Australia, pages 1--8, December 2012. [DOI] [bibtex-key = marchant-12dicta] [bibtex-entry]

  16. C. Nguyen, S. Izadi, and D. Lovell. Modeling Kinect Sensor Noise for Improved 3D Reconstruction and Tracking. In Second Joint 3DIM/3DPVT Conference: 3D Imaging, Modeling, Processing, Visualization and Transmission, Zurich, Switzerland, pages 524--530, October 2012. [bibtex-key = nguyen-etal12] [bibtex-entry]

  17. S. H. Rezatofighi, S. Gould, R. Hartley, K. Mele, and W. E. Hughes. Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images. In MICCAI, pages 357--364, October 2012. [bibtex-key = rezatofighi-etal12miccai] [bibtex-entry]

  18. S. H. Rezatofighi, R. Hartley, and W. E. Hughes. A New Approach for Spot Detection in Total Internal Reflection Fluorescence Microscopy. In International Symposium on Biomedical Imaging, Barcelona, Spain, pages 860--863, 2-5 May 2012. [bibtex-key = rezatofighi-etal12isbi] [bibtex-entry]

  19. X. Sirault, J. Fripp, A. Paproki, J. Guo, P. Kuffner, H. Daily, R. Li, and R. Furbank. 3D plant analysis over time: understanding plant architecture, growth and function using imaging technologies. In PhenoDays 2012, 2012 . [bibtex-key = PhenoDays] [bibtex-entry]

  20. R. Su, C. Sun, and T. D. Pham. Dendritic Spines Detection Based on Directional Morphological Filter and Shortest Path. In IEEE Engineering in Medicine and Biology Society Conference, San Diego, California, USA, pages 5343--5346, 28 August - 1 September 2012. [DOI] [bibtex-key = su-etal12embc] [bibtex-entry]

  21. R. Su, C. Sun, C. Zhang, and T. D. Pham. Linear Feature Enhancement based on Morphological Operation and Gabor Function. In Image and Vision Computing New Zealand, Dunedin, New Zealand, pages 91--96, 26-28 November 2012. ACM. [DOI] [bibtex-key = su-etal12ivcnz] [bibtex-entry]

  22. C. Sun. Closed-form Stereo Image Rectification. In Image and Vision Computing New Zealand, Dunedin, New Zealand, pages 132--137, 26-28 November 2012. ACM. [DOI] [bibtex-key = sun12ivcnz] [bibtex-entry]

  23. X. Tan, C. Sun, X. Sirault, R. Furbank, and T. D. Pham. Tree Structural Watershed for Stereo Matching. In Image and Vision Computing New Zealand, Dunedin, New Zealand, pages 340--345, 26-28 November 2012. ACM. [DOI] [bibtex-key = tan-etal12ivcnz] [bibtex-entry]

  24. X. Tan, C. Sun, X. Sirault, R. Furbank, and T. D. Pham. Feature Correspondence with Even Distribution. In Digital Image Computing: Techniques and Applications, Perth, Australia, pages 1--7, 3-5 December 2012. [DOI] [bibtex-key = tan-etal12dicta] [bibtex-entry]

  25. X. Tan, C. Sun, X. Sirault, R. Furbank, and T. D. Pham. Cross Image Inference Scheme for Stereo Matching. In Asian Conference on Computer Vision, volume IV, Daejeon, Korea, pages 217--230, 5-9 November 2012. [DOI] [bibtex-key = tan-etal12accv] [bibtex-entry]

  26. P. Vallotton, M. Payne, T. Bednarz, L. Domanski, D. James, W. Hughes, and C. Sun. Automating the Quantification of Membrane Proteins under Confocal Microscopy. In International Symposium on Biomedical Imaging, Barcelona, Spain, pages 776--779, 2-5 May 2012. [bibtex-key = vallotton-etal12isbi] [bibtex-entry]

  27. D. Wang. Automated Quantitative Analysis of 2D and 3D Biomedical Images. In 7th Medical Applications of Synchrotron Radiation Workshop, Shanghai, China, pages 15--16, 17-20 October 2012. [bibtex-key = wang-12masr] [bibtex-entry]

  28. C. Zhang, C. Sun, R. Su, and T. D. Pham. Segmentation of Clustered Nuclei Based on Curvature Weighting. In Image and Vision Computing New Zealand, Dunedin, New Zealand, pages 49--54, 26-28 November 2012. ACM. [DOI] [bibtex-key = zhang-etal12ivcnz] [bibtex-entry]

2011
  1. T. Pham, X. Zhou, H. Tanaka, M. Oyama-Higa, X. Jiang, C. Sun, J. Kowalski, and X. Jia. Proceedings of International Symposium on Computational Models for Life Sciences, volume 1371. American Institute of Physics, 2011. [bibtex-key = pham-etal11cmls] [bibtex-entry]

  2. L. Domanski, C. Sun, R. Lagerstrom, D. Wang, L. Bischof, M. Payne, and P. Vallotton. High Throughput Detection of Linear Features: Selected Applications in Biological Imaging. In G. Dougherty, editor, Medical Image Processing: Techniques and Applications, chapter 8, pages 167--191. Springer, 2011. [DOI] [bibtex-key = domanski-etal11dougherty] [bibtex-entry]

  3. Y. Guo and R. Li. A Multi-Agent Machine Learning Framework for Intelligent Energy Demand Management. In G. Trajkovski, editor,Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications, chapter 13 , pages 198--212. IGI, 2011. [bibtex-key = BookMA2011] [bibtex-entry]

  4. M. H. Abreu, R. Lyons, W. Hughes, K. Mele, P. Vallotton, and R. Daly. Gab2 regulates cytoskeletal organization and migration of mammary epithelial cells by modulating RhoA activation. Molecular Biology of the Cell, 22(1):105--116, January 2011. [bibtex-key = abreu-etal11] [bibtex-entry]

  5. J. Wall andY. Guo, J. Li, and S. West. A Dynamic Machine Learning-based Technique for Automated Fault Detection in HVAC Systems. ASHRAE Transactions, 117:1--8, 2011. [DOI] [bibtex-key = Wall-etal11kat] [bibtex-entry]

  6. C. A. James, K. Haustein, T. Bednarz, L. Alem, C. Caris, and A. Castleden. Remote Operation of Mining Equipment Using Panoramic Display Systems: Exploring the Sense of Presence. The Ergonomics Open Journal, 4:93--102, 2011. [bibtex-key = james-etal11] [bibtex-entry]

  7. C. Lau, R. O'Shea, B. Broberg, L. Bischof, and P. Beart. The Rho kinase inhibitor Fasudil up-regulates astrocytic glutamate transport subsequent to actin remodelling in murine cultured astrocytes. British Journal of Pharmacology, 163(3):533-545, 2011. [bibtex-key = Lau-etal2011] [bibtex-entry]

  8. F. Li, S. Brown, T. Cornwell, and F. De Hoog. The application of compressive sampling to radio astronomy II: Faraday rotation measure synthesis. Astronomy and Astrophysics, 531:A126, 2011. [DOI] [bibtex-key = lietal11RMS] [bibtex-entry]

  9. F. Li, T. Cornwell, and F. De Hoog. The Application of Compressive Sampling to Radio Astronomy I: Deconvolution. Astronomy and Astrophysics, 528:A31, 2011. [bibtex-key = li-etal11cs] [bibtex-entry]

  10. P. Vallotton, C. Sun, D. Lovell, M. Savelsbergh, M. Payne, and G. Muench. Identifying weak linear features with the 'Coalescing Shortest Path Image Transform'. Microscopy and Microanalysis, 17(6):911--914, December 2011. [DOI] [bibtex-key = vallotton-etal11] [bibtex-entry]

  11. R. Beare and P. T. Jackway. Parallel Algorithms Via Scaled Paraboloid Structuring Functions for Spatially-Variant and Label-Set Dilations and Erosions. In Proceedings 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Noosa, Australia, pages 180--185, December 2011. [DOI] [bibtex-key = beare-11dicta] [bibtex-entry]

  12. T. Bednarz, L. Domanski, and J. Taylor. Computational Fluid Dynamics using OpenCL - a Practical Introduction. In 19th International Congress on Modelling and Simulation, pages 608--612, 2011. Modelling and Simulation Society of Australia and New Zealand. [WWW] [bibtex-key = bednarz-etal11modsim] [bibtex-entry]

  13. L. Domanski, T. Bednarz, T. Gureyev, L. Murray, E. Huang, and J. Taylor. Applications of Heterogeneous Computing in Computational and Simulation Science. In Fourth IEEE International Conference on Utility and Cloud Computing (UCC) 2011, pages 382--389, December 2011. IEEE Computer Society.
    Note: Other authors: Ya. I. Nesterets, D. Thompson, E. Jones, C. Cavanagh, D. Wang, P. Vallotton, C. Sun, N. Margvelashvili, A. Khassapov, A. Stevenson, S. Mayo, M. Morell and A. W. George. [bibtex-key = domanski-etal11icucc] [bibtex-entry]

  14. L. Domanski, T. Bednarz, P. Vallotton, and J. Taylor. Heterogeneous parallel 3D image deconvolution on a cluster of GPUs and CPUs. In 19th International Congress on Modelling and Simulation, pages 613--619, December 2011. Modelling and Simulation Society of Australia and New Zealand. [WWW] [bibtex-key = domanski-etal11modsim] [bibtex-entry]

  15. Y. Guo, J. Wall, J. Li, and Sam West. A Machine Learning Approach for Fault Detection in Multi-variable Systems. In 2nd International Workshop on Agent Technologies for Energy System, Taipei, Taiwan , 2 May 2011. [bibtex-key = Guo-etal11iwates] [bibtex-entry]

  16. V. Hilsenstein, R. Li, and J. A. McCulloch. Machine-vision sensor for prawn aquaculture. In Proceedings of Twenty-sixth International Conference on Image and Vision Computing New Zealand, pages , 2011. [bibtex-key = DICTA2011] [bibtex-entry]

  17. L. Jiang, J. Li, S. Luo, J. Jin, and S. West. Literature Review of Power Disaggregation. In International Conference on Modelling, Identification and Control, Shanghai, China , June 2011. [bibtex-key = Jiang-etal11] [bibtex-entry]

  18. S. Luo, J. J. Jin, and J. Li. A Knowledge-based Approach for Segmenting Cerebral Vasculature in Neuroimages. In International Conference on Measuring Technology and Mechatronics Automation, Shanghai, China , pages 74--77, 6-7 January 2011. [bibtex-key = Luo-etal11icmtma] [bibtex-entry]

  19. R. Marchant and P. T. Jackway. Generalised Hilbert Transforms for the Estimation of Growth Direction in Coral Cores. In Proceedings 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Noosa, Australia, pages 660--665, December 2011. [DOI] [bibtex-key = marchant-11dicta] [bibtex-entry]

  20. A. Massoudi, A. Sowmya, K. Mele, and D. Semenovich. Employing temporal information for cell segmentation using max-flow/min-cut in phase-contrast video microscopy. In Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, pages 5985--5988, August 30 - September 3 2011. [bibtex-key = massoudi2011emp] [bibtex-entry]

  21. R. Su, C. Sun, and T. D. Pham. Junction Detection for Linear Structures. In International Symposium on Computational Models for Life Sciences, volume 1371, Toyama City, Japan, pages 29--36, 11-13 October 2011. [DOI] [bibtex-key = su-etal11cmls] [bibtex-entry]

  22. E. Urbach, M. Pervukhina, and L. Bischof. Segmentation of Cracks in Shale Rock. In International Symposium on Mathematical Morphology, pages 451--460, 2011. [bibtex-key = DBLP:conf/ismm/UrbachPB11] [bibtex-entry]

  23. P. Vallotton, D. Lovell, and J. Newman. An observation about circular shortest paths - Dealing with additional constraints using Branch and Bound. In Digital Image Computing: Techniques and Applications, Noosa, Australia, pages 513--517, 6-8 December 2011. [DOI] [bibtex-key = vallotton-etal11dicta] [bibtex-entry]

  24. H. Yu and D. Wang. Comparison Study of Two Energy Minimization Based Image Segmentation Methods. In Digital Image Computing: Techniques and Applications, Noosa, Australia, pages 633--638, 6-8 December 2011. [DOI] [bibtex-key = yu-wang11dicta] [bibtex-entry]

  25. C. Zhang, C. Sun, and T. D. Pham. Clustered Nuclei Splitting Using Curvature Information. In Digital Image Computing: Techniques and Applications, Noosa, Australia, pages 352--357, 6-8 December 2011. [DOI] [bibtex-key = zhang-etal11dicta] [bibtex-entry]

2010
  1. P. Vallotton and L. Soon. Selected Applications of Graph-Based Tracking Methods for Cancer Research. In Tuan Pham, editor,Computational Biology: Issues and Applications in Oncology, chapter 8, pages 193--203. Springer, 2010. [bibtex-key = vallotton-etal09chapt] [bibtex-entry]

  2. M. H. F. Wilkinson, E. Urbach, A. C. Jalba, and J. B. T. M. Roerdink. Identification de diatomées. In L. Najman and H. Talbot, editors,Morphologie mathématique, volume 2, pages 183--192. Lavoisier, Paris, 2010. [bibtex-key = wilkinson-etal10] [bibtex-entry]

  3. J. G. Burchfield, J. A. Lopez, K. Mele, P. Vallotton, and W. E. Hughes. Exocytotic Vesicle Behaviour Assessed by Total Internal Reflection Fluorescence Microscopy. Traffic, 11(4x):429--439, April 2010. [DOI] [bibtex-key = burchfield-etal10Traffic] [bibtex-entry]

  4. J. Li, S. Luo, and J. S. Jin. Sensor Data Fusion for Accurate Cloud Presence Prediction Using Dempster-Shafer Evidence Theory. Sensors, 10:9384--9396, October 2010. [DOI] [bibtex-key = Li-etal10js] [bibtex-entry]

  5. J. Li, G. Platt, G.Poulton, J. Wall, and G. James. Dynamic Zone Modelling for HVAC System Control. International Journal of Modelling and Identification and Control, 9:5--14 , 2010. [bibtex-key = Li-etal10ijmic] [bibtex-entry]

  6. J. Li, G. Poulton, and Geoff James. Coordination of Distributed Energy Resource Agents. Journal of Applied Artificial Intelligence, 24:351--380, May 2010. [DOI] [bibtex-key = Li-etal10jaai] [bibtex-entry]

  7. G. Platt, J. Li, R. Li, G. Poulton, G. James, and J. Wall. Adaptive HVAC Zone Modeling for Sustainable Buildings. Journal of Energy and Buildings, 42:412--421, April 2010. [DOI] [bibtex-key = Platt-etal10jeb] [bibtex-entry]

  8. G. Platt, J. Li, Li R., G. Poulton, G. James, and J. Wall. Adaptive HVAC Zone Modeling for Sustainable Buildings. Energy and Buildings, 42(4):412--421 , 2010. [bibtex-key = HVAC2010] [bibtex-entry]

  9. I.-M. Sintorn, L. Bischof, P.T. Jackway, S. Haggarty, and M. Buckley. Gradient based intensity normalization. Journal of Microscopy, 240(3):249-258, December 2010. [bibtex-key = Sintorn-et-al10] [bibtex-entry]

  10. P. Vallotton, C. Sun, D. Lovell, V. J. Fazio, and J. Newman. DroplIT, An Improved Image Analysis Method for Droplet Identification in High-Throughput Crystallization Trials. Journal of Applied Crystallography, 43(6):1548--1552, December 2010. [DOI] [bibtex-key = vallotton-etal10jac] [bibtex-entry]

  11. D. Wang, R. Lagerstrom, C. Sun, L. Bischof, P. Vallotton, and M. Götte. HCA-Vision: Automated Neurite Outgrowth Analysis. Journal of Biomolecular Screening, 15(9):1165--1170, October 2010. [DOI] [bibtex-key = wang-etal10jbs] [bibtex-entry]

  12. Y. Arzhaeva, P. Vallotton, and C. Sun. Mosaicing of microscope images in the presence of large areas with insufficient information content. In SPIE Symposium on Medical Imaging, volume 7623, San Diego, California, pages 762338, 13-18 February 2010. [DOI] [bibtex-key = arzhaeva-etal10spie] [bibtex-entry]

  13. L. Domanski, C. Sun, R. Hassan, P. Vallotton, and D. Wang. Linear Feature Detection on GPUs. In Digital Image Computing: Techniques and Applications, Sydney, pages 649--656, 1-3 December 2010. [DOI] [bibtex-key = domanski-etal10dicta] [bibtex-entry]

  14. M. Gedda and P. Vallotton. Three-dimensional Tracing of Neurites in Fluorescence Microscopy Images using Local Path-finding. In International Conference on Acoustics, Speech, and Signal Processing, Dallas, 14-19 March 2010. [bibtex-key = gedda-vallotton10] [bibtex-entry]

  15. Y. Guo, A. Zeman, and R- Li. Utility Simulation Tool For Automated Energy Demand Side Management. In Proceedinds of International Workshop on Agent Technology for Energy Systems (ATES), 2010. [bibtex-key = ATES2010] [bibtex-entry]

  16. R. Lagerstrom, L. Bischof, D. Wang, and V. Hilsenstein. Objective Image Based Grading of Opal Gemstones. In Proceedings of the 2010 International Conference on Image Processing, Computer Vision and Pattern Recognition, Las Vegas, USA, pages 125--129, 12-15 July 2010. CSREA Press. [bibtex-key = lagerstrom-etal10ipcv] [bibtex-entry]

  17. F. Li, T. Cornwell, and F. De Hoog. The Applications of Compressive Sensing to Radio Astronomy. In 5th International Conference on Wireless Algorithms, Systems, and Applications, Beijing, China, pages 352--359, 2010. Springer. [bibtex-key = li2010applications] [bibtex-entry]

  18. R. Li, P. Wang, and G. James. Multiscale Adaptive Agent-Based Management of Storage-Enabled Photovoltaic Facilities. In H. Coelho, R. Studer, and M. Wooldridge, editors, Frontiers in Artificial Intelligence and Applications - Proceedings 19th European Conference on Artificial Intelligence, volume 215, pages 151--156, 2010 . [bibtex-key = ECAI2010] [bibtex-entry]

  19. T. F. Ng, T. D. Pham, and C. Sun. Automated Feature Weighting in Fuzzy Declustering-based Vector Quantization. In Proceedings of International Conference on Pattern Recognition, Istanbul, Turkey, pages 686--689, 23-26 August 2010. [DOI] [bibtex-key = ng-etal10icpr] [bibtex-entry]

  20. C. Sun, P. Vallotton, M. Fenech, and P. Thomas. Automated Nucleoplasmic Bridge Detection for DNA Damage Scoring in Binucleated Cells. In Proceedings of International Conference on Pattern Recognition, Istanbul, Turkey, pages 2480--2483, 23-26 August 2010. [DOI] [bibtex-key = sun-etal10icpr] [bibtex-entry]

  21. P. Vallotton, L. Mililli, L. Turnbull, and C. Whitchurch. Segmentation of Dense 2D Bacilli Populations. In Digital Image Computing: Techniques and Applications, Sydney, pages 82--86, 1-3 December 2010. [DOI] [bibtex-key = vallotton10dicta] [bibtex-entry]

  22. D. Wang, L. Bischof, B. Dai, R. Lagerstrom, G. Hornabrook, and P. Sutton. Accelerated Gemological Image Analysis for Opal Grading. In Proceedings of The 31st International Congress on Imaging Sciences, Beijing, pages 76--79, 12-16 May 2010. [bibtex-key = wang-etal10icis] [bibtex-entry]

  23. D. Wang and P. Vallotton. Improved Marker-Controlled Watershed Segmentation with Local Boundary Priors. In Proceedings of Image and Vision Computing New Zealand, Queenstown, New Zealand, 8-9 November 2010. [bibtex-key = wang-vallotton10ivcnz] [bibtex-entry]

  24. D. Wang, K. Xu, and J. Xu. Morphological Image Analysis for Automated Surface Quality Inspection of Moving Steel Plates. In Proceedings of The 31st International Congress on Imaging Sciences, Beijing, pages 42--45, 12-16 May 2010. [bibtex-key = wang-etal10icis] [bibtex-entry]

  25. C. Zhang, C. Sun, T. D. Pham, P. Vallotton, and M. Fenech. Detection of Nuclear Buds Based on Ellipse Fitting. In Digital Image Computing: Techniques and Applications, Sydney, pages 178--183, 1-3 December 2010. [DOI] [bibtex-key = zhang-etal10dicta] [bibtex-entry]

  26. Indoor Air Quality Control of HVAC System. In International Conference on Modelling, Identification and Control, Okayama, Japan , 17-19 July 2010. [bibtex-key = Li-etal10icmic author={J.LiandJ.WallandG.Platt}] [bibtex-entry]

2009
  1. P. Vallotton, A. Phatak, and M. Berman. Spectral Imaging and Unmixing. In Ewa Goldys, editor,Fluorescence Applications in Biotechnology and Life Sciences, pages 117--139. Wiley, 2009. [bibtex-key = vallotton-etal09chapt] [bibtex-entry]

  2. P.G. Allingham, W. Barris, A. Reverter, V. Hilsenstein, R. van de Ven, and D.L. Hopkins. Sire and growth-path effects on sheep meat production. 3. Fascicular structure of lamb loin muscle (m. longissimus lumborum) and the impact on eating quality. Animal Production Science, 49(3):239--247, 2009. [bibtex-key = allingham-etal09] [bibtex-entry]

  3. X. Bai, C. Sun, and F. Zhou. Splitting touching cells based on concave points and ellipse fitting. Pattern Recognition, 42(11):2434--2446, November 2009. [DOI] [bibtex-key = bai-etal09pr] [bibtex-entry]

  4. M. Berman, A. Phatak, R. Lagerstrom, and B.R. Wood. ICE: A new method for the multivariate curve resolution of hyperspectral images. Journal of Chemometrics, 23(2):101--116, February 2009. [bibtex-key = berman-phatak-lagerstrom-wood09] [bibtex-entry]

  5. Y. Guo, A. Zeman, and R. Li. A Reinforcement Learning Approach to Setting. International Journal of Agent Technologies and Systems, 1(2):55--70 , 2009. [bibtex-key = IJATS2009] [bibtex-entry]

  6. J. La Salle, Q. Wheeler, P.T. Jackway, S. Winterton, D. Hobern, and D. Lovell. Accelerating Taxonomic Discovery Through Automated Character Extraction. Zootaxa, 2217:43--55, 2009. [bibtex-key = lasalle-etal09] [bibtex-entry]

  7. M. Li, J. Xu, J. Yang, D. Yang, and D. Wang. Multiple Manifolds Analysis and Its Application to Fault Diagnosis. Mechanical Systems and Signal Processing, 23(8):2500--2509, November 2009. [bibtex-key = li-etal09] [bibtex-entry]

  8. J. A. Lopez, J. G. Burchfield, D. H. Blair, K. Mele, Y. Ng, P. Vallotton, D. E. James, and W. E. Hughes. Identification of a Distal GLUT4 Trafficking Event Controlled by Actin Polymerisation. Molecular Biology of the Cell, 20(17):3918--3929, September 2009. [bibtex-key = lopez-etal09] [bibtex-entry]

  9. K. Mele, J. G. Burchfield, D. E. James, W. E. Hughes, and P. Vallotton. Towards fully automated Identification of Vesicle-Membrane Fusion Events in TIRF Microscopy. IJCAET Special Issue on Engineering and Computational Technologies in the Life Sciences, 1(4):502--515, 2009. [bibtex-key = mele-etal09] [bibtex-entry]

  10. C. Sun, R. Beare, K. Cheong, B. J. Jung, and M. Kim. Stereoscopic Flatbed Scanner. Journal of Electronic Imaging, 18(1):013002, January-March 2009. [DOI] [bibtex-key = sun-etal09jei] [bibtex-entry]

  11. C. Sun and P. Vallotton. Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression. Journal of Microscopy, 234(2):147--157, May 2009. [DOI] [bibtex-key = sun-vallotton09jmi] [bibtex-entry]

  12. C. Sun, P. Vallotton, D. Wang, J. Lopez, Y. Ng, and D. James. Membrane Boundary Extraction Using Circular Multiple Paths. Pattern Recognition, 42(4):523--530, April 2009. [DOI] [bibtex-key = sun-etal09pr] [bibtex-entry]

  13. P. Vallotton and J. V. Small. Shifting views on the leading role of the lamellipodium in cell migration: Speckle tracking revisited. Journal of Cell Science, 122(12):1955--1958, June 2009. [bibtex-key = vallotton-small09] [bibtex-entry]

  14. Y. Arzhaeva, L. Hogeweg, P. A. de Jong, B. van Ginneken, and M. A. Viergever. Global and local multi-valued dissimilarity-based classication: application to computer-aided detection of tuberculosis. In 12th International Conference on Medical Image Computing and Computer Assisted Intervention, 20-24 September 2009. [bibtex-key = Arzh09b] [bibtex-entry]

  15. L. Domanski, P. Vallotton, and D. Wang. Two and Three-Dimensional Image Deconvolution on Graphics Hardware. In Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia, pages 1010--1016, 13-17 July 2009. [WWW] [bibtex-key = domanski-etal09] [bibtex-entry]

  16. R. Lagerstrom and M. Buckley. A Graph Watershed Method for Analysis and Quantification of Neurite Branching Structure. In Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia, pages 762--767, 13-17 July 2009. [bibtex-key = lagerstrom-buckley09] [bibtex-entry]

  17. S. Mayo, R. Evans, F. Chen, and R. Lagerstrom. X-ray Phase Contrast Micro-Tomography and Image Analysis of Wood Microstructure. In Proceedings of the 9th International Conference on X-Ray Microscopy, Zurich, Switzerland, 21-25 July 2009. [bibtex-key = mayo-lagerstrom09] [bibtex-entry]

  18. K. Mele, A. Coster, J. G. Burchfield, J. Lopez, D. E. James, W. E. Hughes, and P. Vallotton. Automatic Identification of Fusion Events in TIRF Microscopy Image Sequences. In ICCV09 1st Workshop on Video-oriented Object and Event Classification (VOEC'09), Kyoto, Japan, pages 578--584, 28 September 2009. [bibtex-key = mele-etal09voec] [bibtex-entry]

  19. E. Urbach. Contextual Image Filtering. In Image and Vision Computing New Zealand, Wellington, New Zealand, pages 299--303, 23-25 November 2009. [bibtex-key = urbach:context2009] [bibtex-entry]

  20. P. Vallotton, C. Sun, D. Wang, P. Ranganathan, L. Turnbull, and C. Whitchurch. Segmentation and tracking of individual Pseudomonas aeruginosa bacteria in dense populations of motile cells. In Image and Vision Computing New Zealand, Wellington, New Zealand, pages 221--225, 23-25 November 2009. [bibtex-key = vallotton-etal09] [bibtex-entry]

  21. D. Wang, D. Bourke, L. Domanski, and P. Vallotton. Multicore-based high performance image analysis for batch processing in drug discovery. In Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, pages 1080--1086, 13-17 July 2009. [bibtex-key = wang-vallotton09modsim] [bibtex-entry]

  22. W. Yu, H. K. Lee, S. Hariharan, S. Shvetha, P. Vallotton, and S. Ahmed. Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres. In Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I, Las Vegas, Nevada, USA, pages 531--543, November 30 - December 2 2009. [bibtex-key = Yu09ISVC] [bibtex-entry]

  23. K. Mele, J. G. Burchfield, D. E. James J. Lopez, W. E. Hughes, A. Coster, and P. Vallotton. TIRF Microscopy Software for Automated Vesicle Fusion Detection. American Biotechnology Laboratory, 27(10):8-9, October 2009. [bibtex-key = mele-etal09abl] [bibtex-entry]

2008
  1. L. Hoang, R. Li, S. Ourselin, and J. M. Potter. A Visual Dataflow Language for Image Segmentation and Registration. In J. Filipe, B. Shishkov, M. Helfert, and L. A. Maciaszek, editors,Software and Data Technologies, chapter 9, pages 60--72. Berlin: Springer, 2008 . [bibtex-key = Dataflow] [bibtex-entry]

  2. L Hoang, Li R., and Ourselin S. andPotter J. M.. A Visual Dataflow Language for Image Segmentation and Registration. In J. Filipe, B. Shishkov, M. Helfert, and L. A. Maciaszek, editors,Software and Data Technologies, chapter 9, pages 60--72. Springer Berlin, 2008 . [bibtex-key = Dataflow] [bibtex-entry]

  3. R. Lagerstrom, C. Sun, and P. Vallotton. Boundary Extraction of Linear Features Using Dual Paths through Gradient Profiles. Pattern Recognition Letters, 29(12):1753--1757, September 2008. [DOI] [bibtex-key = lagerstrom-etal08] [bibtex-entry]

  4. C. Leung, B. Appleton, and C. Sun. Iterated Dynamic Programming and Quadtree Subregioning for Fast Stereo Matching. Image and Vision Computing, 26(10):1371--1383, October 2008. [DOI] [bibtex-key = leung-etal08ivc] [bibtex-entry]

  5. P. Vallotton and N. Thomas. Automated body hair counting and length measurement. Skin Research and Technology, 14(4):493--497, November 2008. [bibtex-key = vallotton-thomas08] [bibtex-entry]

  6. P. Vallotton. Differential Aberration Correction (DAC) Microscopy: a New Molecular Ruler. Journal of Microscopy, 232(2):235--239, November 2008. [bibtex-key = vallotton08] [bibtex-entry]

  7. L. Zhang, J. Xu, J. Yang, D. Yang, and D. Wang. Multiscale morphology analysis and its application to fault diagnosis. Mechanical Systems and Signal Processing, 22(3):597--610, April 2008. [bibtex-key = zhang-etal08] [bibtex-entry]

  8. X. Bai, C. Sun, and F. Zhou. Touching Cells Splitting by Using Concave Points and Ellipse Fitting. In Digital Image Computing: Techniques and Applications, Canberra, Australia, pages 271--278, 1-3 December 2008. [bibtex-key = bai-etal08] [bibtex-entry]

  9. Y. Guo, R. Li, G. Poulton, and A. Zeman. A Simulator for Self-Adaptive Energy Demand Management. In Proceedings of the second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pages 64--73, 2008 . [bibtex-key = SASO08A] [bibtex-entry]

  10. Y. Guo, A. Zeman, and R. Li. A Reinforcement Learning Approach to Setting Multi-Objective Goals for Energy Demand Management. In Proceedinds of ALAMAS and ALAG - in Seventh Conference on Autonomous Agents and Multi-Agent Systems, pages 65--72, 2008 . [bibtex-key = AAMAS08] [bibtex-entry]

  11. S. Hadjidemetriou, B. Gabrielli, T. Pike, F. Stevens, K. Mele, and P. Vallotton. Detection and Tracking of Cell Divisions in Phase Contrast Video Microscopy. In The Third International Workshop on Microscopic Image Analysis with Applications in Biology, New York, 5-6 September 2008. [WWW] [bibtex-key = hadjidemetriou-etal08] [bibtex-entry]

  12. G. Hu, Y. Guo, and R. Li. A Self-Organizing Nano-Particle Simulator and Its Applications. In Proceedinds of IEEE-NASA Conference on Adaptive Hardware and Systems(AHS 2008), pages 22--25, 2008 . [bibtex-key = IEEEAHS2008] [bibtex-entry]

  13. R. Li, J. Li, G. Poulton, and G. James. Agent-Based Optimisation Systems for Electrical Load Management. In Proceedings of First International Workshop on Optimisation in Multi-Agent Systems (OPTMAS), pages 60--69, 2008 . [bibtex-key = OPTMAS08] [bibtex-entry]

  14. R. Li and P. Wang. Pattern Learning and Decision Making in a Photovoltaic Syste. In Lecture Notes in Computer Science - Proceedings of the 7th International Conference on Simulated Evolution and Learning (SEAL), volume 5361/2008, pages 483--492, 2008 . [bibtex-key = SEAL08] [bibtex-entry]

  15. M. Prokopenko, A. Zeman, and R. Li. Homeotaxis: Coordination with Persistent Time-Loops. In M. Asada, editor, Lecture Notes in Artificial Intelligence - From Animals to Animats 10: the 10th International Conference on Simulation of Adaptive Behavior, pages 403--414, 2008 . Springer, Berlin. [bibtex-key = SAB08] [bibtex-entry]

  16. A. Zeman, M. Prokopenko, Y. Guo, and R. Li. Adaptive control of distributed energy management: A comparative study. In Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pages 84--93, 2008 . [bibtex-key = SASO08B] [bibtex-entry]

2007
  1. R. Li and S. Ourselin. Toward Consistently Behaving Deformable Models for Improved Automation in Image Segmentation. In A. A. Farag and and J. S. Suri, editors,Deformable Models - Biomedical and Clinical Applications, chapter 9 , pages 259--292. Springer, 2007. [bibtex-key = Springer] [bibtex-entry]

  2. M. Berman, P. M. Connor, L. B. Whitbourn, D. A. Coward, B. G. Osborne, and M. D. Southan. Classification of sound and stained wheat grains using visible and near infrared hyperspectral image analysis. Journal of Near Infrared Spectroscopy, 15(6):351--358, 2007. [bibtex-key = berman-etal07] [bibtex-entry]

  3. M. Berman, D. A. Coward, L. W. Whitbourn, B. G. Osborne, C. J. Evans, P. M. Connor, R. J. Beare, R. N. Phillips, and R. Quodling. A profilometry method for the estimation of wheat grain thickness. Cereal Chemistry, 84:282-284, 2007. [bibtex-key = berman-etal07cc] [bibtex-entry]

  4. C. Sun, M. Berman, D. Coward, and B. Osborne. Thickness Measurement and Crease Detection of Wheat Grains Using Stereo Vision. Pattern Recognition Letters, 28(12):1501--1508, September 2007. [DOI] [bibtex-key = sun-etal07prl] [bibtex-entry]

  5. A.C.J. Timmers, P. Vallotton, C. Heym, and D. Menzel. Microtubule Dynamics in Root Hairs of Medicago Truncatula. European Journal of Cell Biology, 86(2):69--83, February 2007. [bibtex-key = timmers-etal07] [bibtex-entry]

  6. P. Vallotton, R. Lagerstrom, C. Sun, M. Buckley, D. Wang, M. De Silva, S.-S. Tan, and J. Gunnersen. Automated Analysis of Neurite Branching in Cultured Cortical Neurons Using HCA-Vision. Cytometry, Part A, 71A(10):889--895, October 2007. [DOI] [bibtex-key = vallotton-etal07] [bibtex-entry]

  7. C. Sun, P. Vallotton, D. Wang, Jamie Lopez, Yvonne Ng, and David James. Membrane Boundary Extraction Using a Circular Shortest Path Technique. In Tuan D. Pham and Xiaobo Zhou, editors, in Proceedings of International Symposium on Computational Models for Life Sciences, Gold Coast, Queensland, Australia, pages 41--47, 17-19 December 2007. [bibtex-key = sun-etal07cmls] [bibtex-entry]

  8. C. Sun and P. Vallotton. Priority-based Path Growing for Linear Feature Detection. In Proceedings of Digital Image Computing: Techniques and Applications, Adelaide, pages 360--365, 3-5 December 2007. [bibtex-key = sun-vallotton07dicta] [bibtex-entry]

  9. P. Vallotton, David E. James, and William E. Hughes. Towards fully automated Identification of Vesicle-Membrane Fusion Events in TIRF Microscopy. In Tuan D. Pham and Xiaobo Zhou, editors, in Proceedings of International Symposium on Computational Models for Life Sciences, Gold Coast, Queensland, Australia, pages 3--10, 17-19 December 2007. [bibtex-key = vallotton-etal07cmls] [bibtex-entry]

  10. P. Vallotton, C. Sun, and D. Wang. HCA-Vision puts neuron images under a virtual scalpel. Innovation, 7(1):38--39, 2007. [WWW] [bibtex-key = vallotton-etal07inno] [bibtex-entry]

2006
  1. L. Chung, D. Clifford, M.J. Buckley, and R.C. Baxter. Novel Biomarkers of Human Growth Hormone Action from Serum Proteomic Profiling using Protein Chip Mass Spectrometry. The Journal of Clinical Endocrinology and Metabolism, 91(2):671--677, February 2006. [bibtex-key = chung-clifford-buckley-baxter06] [bibtex-entry]

  2. C. Sun, R. Beare, V. Hilsenstein, and P.T. Jackway. Mosaicing of Microscope Images with Global Geometric and Radiometric Corrections. Journal of Microscopy, 224(2):158--165, November 2006. [DOI] [bibtex-key = sun-etal06jm] [bibtex-entry]

  3. C. Sun, R. Jones, H. Talbot, X. Wu, K. Cheong, R. Beare, M.J. Buckley, and M. Berman. Measuring the Distance of Vegetation from Powerlines Using Stereo Vision. ISPRS Journal of Photogrammetry and Remote Sensing, 60(4):269--283, June 2006. [DOI] [bibtex-key = sun-etal06ijprs] [bibtex-entry]

  4. C. Sun. Moving Average Algorithms for Diamond, Hexagon and General Polygonal Shaped Window Operations. Pattern Recognition Letters, 27(6):556--566, April 2006. [DOI] [bibtex-key = sun06prl] [bibtex-entry]

  5. M. Berman. Some unmixing problems and algorithms in spectroscopy and hyperspectral imaging. In Proc. 35th Applied Imagery and Pattern Recognition Workshop, Washington DC, 2006.
    Note: Invited. [bibtex-key = berman06aiprw] [bibtex-entry]

  6. M. Berman, A. Phatak, and P. Vallotton. Hyperspectaral image analysis: some applications in biotechnology and their prospective solutions. In Proc. MICCAI Workshop on Biophotonics Imaging for Diagnosis and Treatment, Copenhagen, Denmark, pages 1--6, 2006.
    Note: Invited. [bibtex-key = berman-etal06MICCAI] [bibtex-entry]

  7. V. Hilsenstein, P.T. Jackway, and P. Allingham. An Automated System for Microscopy Imaging and Analysis of Histology Slides with an Application in Sheep Meat Morphometry. In Patrice Delmas, Jason James, and John Morris, editors, Image and Vision Computing New Zealand, pages 331--336, 27-29 November 2006. [bibtex-key = HilsensteinETAL_IVCNZ2006] [bibtex-entry]

  8. V. Hilsenstein. Storing and Accessing Large Images using Summed Area Tables. In Patrice Delmas, Jason James, and John Morris, editors, Image and Vision Computing New Zealand, pages 37--42, 27-29 November 2006. [bibtex-key = Hilsenstein_IVCNZ2006] [bibtex-entry]

  9. I. Sintorn, L. Bischof, R. Lagerstrom, M.J. Buckley, and A. Hoffman. Towards nuclear phenotype recognition in single channel fluorescence microscopy images. In Patrice Delmas, Jason James, and John Morris, editors, Image and Vision Computing New Zealand, pages 227--231, 27-29 November 2006. [bibtex-key = SintornEtAl_IVCNZ2006] [bibtex-entry]

  10. C. Sun and P. Vallotton. Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression. In Proceedings of International Conference on Pattern Recognition, volume 2, Hong Kong, pages 288--291, 20-24 August 2006. IEEE. [bibtex-key = sun-vallotton06icpr] [bibtex-entry]

  11. S. Svensson and I. Sintorn. Hierarchical Chamfer Matching Based on Propagation of Gradient Strengths. In Discrete Geometry for Computer Imagery, volume 4245/2006 of Lecture Notes in Computer Science, pages 308--319, 2006. Springer Berlin / Heidelberg. [bibtex-key = Svensson&Sintorn_DGCI2006] [bibtex-entry]

2005
  1. H. Heijmans, M.J. Buckley, and H. Talbot. Path openings and closings. Journal of Mathematical Imaging and Vision, 22(2-3):107--119, May 2005. [bibtex-key = heijmans-buckley-talbot05] [bibtex-entry]

  2. S. Menzies, L. Bischof, H. Talbot, A. Gutenev, M. Avramidis, L. Wong, S. K. Lo, G. Mackellar, V. Skladnev, W. McCarthy, J. Kelly, B. Cranney, P. Lye, H. Rabinovitz, M. Oliviero, A. Blum, A. Virol, B. DeAmbrosis, R. McCleod, H. Koga, C. Grin, R. Braun, and R. Johr. The Performance of SolarScan: An Automated Dermoscopy Image Analysis Instrument for the Diagnosis of Primary Melanoma. Archives of Dermatology, 141(11):1388-1396, November 2005. [bibtex-key = menzies-etal05] [bibtex-entry]

  3. C. Sun and B. Appleton. Multiple Paths Extraction in Images using a Constrained Expanded Trellis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(12):1923--1933, December 2005. [DOI] [bibtex-key = sun-appleton05] [bibtex-entry]

  4. M. van Droogenbroeck and M.J. Buckley. Morphological erosions and openings: Fast algorithms based on anchors. Journal of Mathematical Imaging and Vision, 22(2-3):121--142, May 2005. [bibtex-key = vandroogenbroeck-buckley05] [bibtex-entry]

  5. M. Berman, A. Phatak, and R. Lagerstrom. ICE: A statistical approach to identifying endmembers in biomedical hyperspectral images. In SPIE Proceedings, volume 5694, San Jose, U.S.A., pages 62-73, 2005. [bibtex-key = berman-phatak-lagerstrom05] [bibtex-entry]

  6. M.J Buckley and R Lagerstrom. Labelled Reconstruction of Binary Objects: A Vector Propagation Algorithm. In C. Ronse, L. Najman, and E. Decenciere, editors, Mathematical Morphology : 40 Years On (Proceedings of the 7th International Symposium on Mathematical Morphology - ISMM'2005), volume 30 of Computational Imaging and Vision, Dordrecht, pages 117-128, 2005. Springer-Verlag. [bibtex-key = buckley-lagerstrom05] [bibtex-entry]

  7. J.S. Hallinan and P.T. Jackway. Network Motifs, Feedback Loops and the Dynamics of Genetic Regulatory Networks. In IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pages 90-96, 2005. [bibtex-key = hallinan-jackway05] [bibtex-entry]

  8. V. Hilsenstein. Robust Autofocusing for Automated Microscopy Imaging of Fluorescently Labelled Bacteria. In Proceedings of Digital Image Computing: Techniques and Applications, Cairns, Australia, pages 95--101, 6-8 December 2005. [bibtex-key = HILSENSTEIN2005] [bibtex-entry]

  9. N. Seow, A. Sowmya, and C. Sun. Multi-image 2D-PAGE Feature Detection. In Digital Image Computing: Techniques and Applications, Cairns Convention Centre, Australia, pages 134--141, 6-8 December 2005. [bibtex-key = seow-etal05] [bibtex-entry]

  10. C. Sun, V. Hilsenstein, R. Beare, and P.T. Jackway. Mosaicking of microscope images. In Digital Image Computing: Techniques and Applications, Cairns Convention Centre, Australia, pages 343--348, 6-8 December 2005. [bibtex-key = sun-etal05dicta] [bibtex-entry]

  11. L. Bischof, M.J. Buckley, R. Lagerstrom, C. Sun, H. Talbot, D. Wang, and P. Vallotton. Image Analysis of Neurite Branching: High-Content Screening at High Speed. American Biotechnology Laboratory, 23(10):22, September 2005. [WWW] [bibtex-key = bischof-etal05abl] [bibtex-entry]

2004
  1. M. Berman, H. Kiiveri, R. Lagerstrom, A. Ernst, R. Dunne, and J. Huntington. ICE: A statistical approach to identifying endmembers. IEEE Transactions on Geoscience and Remote Sensing, 42:2085-2095, 2004. [bibtex-key = berman-kiiveri-lagerstrom-ernst-dunne-huntington04] [bibtex-entry]

  2. C. Sun and S. Peleg. Fast Panoramic Stereo Matching Using Cylindrical Maximum Surfaces. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 34(1):760--765, February 2004. [DOI] [bibtex-key = sun-peleg04] [bibtex-entry]

  3. J. Huntington, A. Mauger, R. Skirrow, E. Bastrakov, P. Connor, P. Mason, J. Keeling, D. Coward, M. Berman, R. Phillips, L. Whitbourn, and P. Heithersay. Automated mineralogical core logging at the Emmie Bluff, iron oxide copper gold prospect, South Australia. In Proc. PACRIM 2004, Adelaide, Australia, pages 223-230, 2004. [bibtex-key = huntington-et-al04] [bibtex-entry]

  4. C. Leung, B. Appleton, B. C. Lovell, and C. Sun. An Energy Minimisation Approach to Stereo-temporal Dense Reconstruction. In Proceedings of International Conference on Pattern Recognition, volume 4, Cambridge, UK, pages 72--75, 23-26 August 2004. [bibtex-key = leung-etal04stereomotion] [bibtex-entry]

  5. C. Leung, B. Appleton, and C. Sun. Fast Stereo Matching by Iterated Dynamic Programming and Quadtree Subregioning. In A. Hoppe, S. Barman, and T. Ellis, editors, British Machine Vision Conference, volume 1, Kingston University, London, pages 97--106, 7-9 September 2004. [bibtex-key = leung-etal04idp] [bibtex-entry]

2003
  1. C. Sun, H. Talbot, S. Ourselin, and T. Adriaansen, editors. Proceedings of Digital Image Computing: Techniques and Applications, volume 1/2. CSIRO Publishing, 2003. [bibtex-key = sun-etal03dicta] [bibtex-entry]

  2. B. Appleton and C. Sun. Circular Shortest Paths by Branch and Bound. Pattern Recognition, 36(11):2513--2520, November 2003. [DOI] [bibtex-key = appleton-sun03] [bibtex-entry]

  3. C. Sun and S. Pallottino. Circular Shortest Path in Images. Pattern Recognition, 36(3):711--721, March 2003. [DOI] [bibtex-key = sun-pallottino03pr] [bibtex-entry]

  4. C. Sun. Uncalibrated Three-View Image Rectification. Image and Vision Computing, 21(3):259--269, March 2003. [DOI] [bibtex-key = sun03ivc] [bibtex-entry]

  5. R.F. Walker, P.T. Jackway, and I.D. Longstaff. Genetic Algorithm Optimisation of Adaptive Multi-scale GLCM Features. International Journal of Pattern Recognition and Artificial Intelligence, 17(1):17--39, 2003. [bibtex-key = WalkerJackwayLongstaff03] [bibtex-entry]

  6. D. L. Wilson, M.J Buckley, C. A. Helliwell, and I. W. Wilson. New Normalization Methods for cDNA Microarray Data. Bioinformatics, 19(11):1325--1332, July 2003. [bibtex-key = wilson-buckley-helliwell-wilson03] [bibtex-entry]

  7. M. Berman, H. Kiiveri, R. Lagerstrom, A. Ernst, R. Dunne, and J. Huntington. ICE: An automated statistical approach to identifying endmembers. In Proc. 2003 IEEE International Geoscience and Remote Sensing Symposium, volume 1, Toulouse, France, pages 279-283, July 2003. [bibtex-key = berman-kiiveri-ernst-lagerstrom-dunne-huntington03] [bibtex-entry]

  8. C. Evans and H. Zhang. Mixed Texture Composition: Determining the Proportion of Structured and Statistical Components.. In Proceedings of Digital Image Computing:Techniques and Applications (DICTA) Conference, volume II, Macquarie University, Sydney, pages 721-730, December 2003. [bibtex-key = evans-etal03] [bibtex-entry]

  9. C. Leung, B. Appleton, and C. Sun. Embedded Voxel Colouring. In Proceedings of Digital Image Computing: Techniques and Applications, volume 2, Sydney, pages 623--632, 2003. CSIRO Publishing. [bibtex-key = leung-etal03] [bibtex-entry]

  10. C. Sun. Diamond, Hexagon, and General Polygonal Shaped Window Smoothing. In Proceedings of Digital Image Computing: Techniques and Applications, volume 1, Sydney, pages 39--48, 10-12 December 2003. CSIRO Publishing. [bibtex-key = sun03dicta] [bibtex-entry]

  11. C. Sun. Fast Algorithms for Stereo Matching and Motion Estimation. In Australia-Japan Advanced Workshop on Computer Vision, Adelaide, Australia, pages 38--48, 9-11 September 2003. [bibtex-key = sun03ajawcv] [bibtex-entry]

  12. H. Talbot and L. Bischof. An overview of the Polartechnics SolarScan melanoma diagnosis algorithms. In Proc. APRS Workshop on Digital Image Computing, Brisbane, pages 33-38, 2003. [bibtex-key = talbot-bischof03] [bibtex-entry]

2002
  1. H. Talbot and R. Beare, editors. Mathematical Morphology, Proceedings of the VI th International Symposium. CSIRO Publishing, 2002. [bibtex-key = TalbotBeare2002a] [bibtex-entry]

  2. C. Evans, R. Jones, I. Svalbe, and M. Berman. Segmenting multispectral Landsat TM images into field units. IEEE Transactions on Geoscience and Remote Sensing, 40:1054-1064, 2002. [bibtex-key = evans-jones-svalbe-berman02] [bibtex-entry]

  3. C. Sun. Fast Optical Flow Using 3D Shortest Path Techniques. Image and Vision Computing, 20(13/14):981--991, December 2002. [DOI] [bibtex-key = sun02ivc] [bibtex-entry]

  4. C. Sun. Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques. International Journal of Computer Vision, 47(1/2/3):99--117, May 2002. [DOI] [bibtex-key = sun02ijcv] [bibtex-entry]

  5. J. Yang, M.J Buckley, S. Dudoit, and T. Speed. Comparison of methods for image analysis on cDNA microarray data. Journal of Computational and Graphical Statistics, 11(1):108--136, 2002. [bibtex-key = yang-buckley-dudoit-speed02] [bibtex-entry]

  6. R. Beare. Regularized seeded region growing. In H. Talbot and R. Beare, editors, Mathematical Morphology, Proceedings of the VI th International Symposium, pages 91-99, 2002. [bibtex-key = Beare2002a] [bibtex-entry]

  7. C. Sun and S. Pallottino. Circular Shortest Path on Regular Grids. In Asian Conference on Computer Vision, Melbourne, Australia, pages 852--857, January 22--25 2002. [bibtex-key = sun-pallottino02accv] [bibtex-entry]

  8. H. Talbot and B. Appleton. Elliptical distance transforms and the object splitting problem. In H. Talbot and R. Beare, editors, Mathematical Morphology, Proceedings of the 6th International Symposium, Sydney, Australia, pages 229-240, April 2002. CSIRO Publishing. [bibtex-key = talbot-appleton2002a] [bibtex-entry]

2001
  1. M. Berman. Invited discussion on ``A penalized likelihood approach to image warping''. Journal of the Royal Statistical Society: Series B, 63(3):499, 2001. [bibtex-key = berman01a] [bibtex-entry]

  2. P. Soille and H. Talbot. Directional Morphological Filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11):1313--1329, 2001. [bibtex-key = soille-talbot2001a] [bibtex-entry]

  3. C. Sun and M.J. Buckley. Discussion on ``A penalized likelihood approach to image warping''. Journal of the Royal Statistical Society: Series B, 63(3):506--507, 2001. [bibtex-key = sun-buckley01jrss] [bibtex-entry]

  4. C. Sun. De-Interlacing of Video Images Using A Shortest Path Technique. IEEE Transactions on Consumer Electronics, 47(2):225--230, May 2001. [DOI] [bibtex-key = sun01itce] [bibtex-entry]

  5. C. Sun. Fast Algorithm for Local Statistics Calculation for N-Dimensional Images. Journal of Real-Time Imaging, 7(6):519--527, December 2001. [DOI] [bibtex-key = sun01jrti] [bibtex-entry]

  6. C. Sun and X. Wu. Automatic Segmentation of Fiducial Marks Using Attribute-based Mathematical Morphology. Journal of Electronic Imaging, 10(2):560--566, April 2001. [DOI] [bibtex-key = sun-wu01jei] [bibtex-entry]

  7. Y.H. Yang, M.J Buckley, and T. Speed. Analysis of cDNA microarray images. Briefings in Bioinformatics, 2(4):341--349, 2001. [bibtex-key = yang-buckley-speed01] [bibtex-entry]

  8. R. Beare. An ultrasound imaging system for control of an automated carcass splitting machine. In Proceedings of the 12th Scandinavian Conference on Image Analysis, pages 375-381, 2001. [bibtex-key = Beare2001a] [bibtex-entry]

  9. C. Sun. Rectangular Subregioning and 3-D Maximum-Surface Techniques for Fast Stereo Matching. In IEEE Workshop on Stereo and Multi-Baseline Vision, Kauai, Hawaii, pages 44--53, December 9-10 2001. IEEE. [bibtex-key = sun01smbv] [bibtex-entry]

2000
  1. M. Berman. Invited discussion on ``Practical maximum pseudolikelihood for spatial point patterns''. Australian and New Zealand Journal of Statistics, 42:318--320, 2000. [bibtex-key = berman00b] [bibtex-entry]

  2. E.J. Breen, R. Jones, and H. Talbot. Mathematical morphology: a useful set of tools for image analysis. Statistics and Computing, 10:105-120, 2000. [bibtex-key = breen-jones-talbot00] [bibtex-entry]

  3. C. Sun. 2-Point Linear Algorithm for Camera Translation Vector Estimation with Known Rotation. Robotica, 18(5):557--561, September 2000. [DOI] [bibtex-key = sun00rob] [bibtex-entry]

  4. H. Talbot, T. Lee, D. Jeulin, D. Hanton, and L. W. Hobbs. Image Analysis of Insulation Mineral Fibres. Journal of Microscopy, 200(3):251-268, December 2000. [bibtex-key = talbot-lee-jeulin-etal-2000] [bibtex-entry]

  5. S. Aksoy, M. Ye, M. Schauf, M. Song, Y. Wang, R. Haralick, J. Parker, J. Pivovarov, D. Royko, C. Sun, and G. Farnebäck. Algorithm Performance Contest. In Proceedings of International Conference on Pattern Recognition, volume 4, Barcelona, Spain, pages 870--875, 3-8 September 2000. [bibtex-key = aksoy-etal00] [bibtex-entry]

  6. R. Beare and H. Talbot. Motion segmentation using seeded region growing. In L. Vincent and D. Bloomberg, editors, Mathematical morphology and its application to Image analysis, Palo Alto, California, pages 215-222, June 2000. ISMM, Kluwer. [bibtex-key = beare-talbot-ismm2000] [bibtex-entry]

  7. M.J Buckley and H. Talbot. Flexible linear openings and closings. In L. Vincent and D. Bloomberg, editors, Mathematical Morphology and its application to image analysis, Palo Alto, pages 109--118, June 2000. ISMM, Kluwer. [bibtex-key = buckles-talbot2000b] [bibtex-entry]

  8. N. Laveau and R. Beare. Object tracking and segmentation using region growing. In APRS/IEEE Workshop on Stereo Image and Video Processing, Sydney, pages 11-14, 2000. [bibtex-key = Laveau2000a] [bibtex-entry]

  9. C. Sun. Uncalibrated Three-View Image Rectification. In APRS/IEEE Workshop on Stereo Image and Video Processing, Sydney, pages 37--40, 2000. [bibtex-key = sun00f] [bibtex-entry]

  10. M. Berman. Editor, Special issue on image analysis, Statistics and Computing, 10:91-182,2000. [bibtex-key = berman00a] [bibtex-entry]

1999
  1. R. Beare and A. Bouzerdoum. Biologically inspired local motion detector architecture. Journal of the Optical Society of America, 16(9):2059-2068, 1999. [bibtex-key = Beare99a2] [bibtex-entry]

  2. R. Jones. Connected Filtering and Segmentation using Component Trees. Computer Vision and Image Understanding, 75(3):215--228, September 1999. [bibtex-key = jones99] [bibtex-entry]

  3. C. Sun and D. Si. Fast Reflectional Symmetry Detection Using Orientation Histograms. Journal of Real-Time Imaging, 5(1):63--74, February 1999. [DOI] [bibtex-key = sun-si99] [bibtex-entry]

  4. R. Beare and A. Bouzerdoum. Biologically Inspired Adaptive Neuro-filters. In 6th International Conference on Neural Information Processing, volume II, Perth, Australia, pages 813-818, 16-20 November 1999. [bibtex-key = Beare99a] [bibtex-entry]

  5. R. Beare and H. Talbot. Exact Seeded Region Growing for Image Segmentation. In Digital Image Computing: Techniques and Applications, Perth, Australia, pages 132--137, December 1999. [bibtex-key = beare-talbot-dicta99] [bibtex-entry]

  6. M. Berman, L. Bischof, and J. Huntington. Algorithms and software for the automated identification of minerals using field spectra or hyperspectral imagery. In Proceedings of the 13th International Conference on Applied Geologic Remote Sensing, volume 1, Vancouver, Canada, pages 222--232, 1999. [bibtex-key = berman-bischof-huntington99] [bibtex-entry]

  7. L. Bischof, H. Talbot, E. Breen, D. Lovell, D. Chan, G. Stone, S. Menzies, A. Gutenev, and R. Caffin. An Automated Melanoma Diagnosis System. In Binh Pham, Michael Braun, Anthony J Maeder, and Michael P Eckert, editors, New Approaches in Medical Image Analysis, volume 3747, pages 130-141, 1999. SPIE. [bibtex-key = bischof-etal99] [bibtex-entry]

  8. C. Sun. Multi-Resolution Stereo Matching Using Maximum-Surface Techniques. In Digital Image Computing: Techniques and Applications, Perth, Australia, pages 195--200, 7-8 December 1999. [bibtex-key = sun99c] [bibtex-entry]

  9. C. Sun. Fast Optical Flow Using Cross Correlation and Shortest-Path Techniques. In Digital Image Computing: Techniques and Applications, Perth, Australia, pages 143-148, 7-8 December 1999. [bibtex-key = sun99d] [bibtex-entry]

1998
  1. E.J. Breen. Morphological Segmentation on Non-image data: The Closing Function. In Henk J.A.M. Heijmans and Jos B.T.M. Roerdink, editors, Mathematical Morphology and its Applications to Image and Signal Processing, Computational imaging and vision, pages 223--230. Kluwer, 1998. [bibtex-key = breen98] [bibtex-entry]

  2. C. A. Glasbey, M. Berman, and H. M. Hudson. Image analysis and tomography. In P. Armitage and T. Colton, editors,Encyclopaedia of Biostatistics, pages 1980--1998. John Wiley and Sons, New York, 1998. [bibtex-key = glasbey-berman-hudson98] [bibtex-entry]

  3. M. Berman and M.J. Buckley. Automated inspection, measurement and prediction using image analysis. The Quality Magazine, 7:69-72, 1998. [bibtex-key = berman-buckley98] [bibtex-entry]

  4. M. S. Brown, L. S. Wilson, B. D. Doust, R. W. Gill, and C. Sun. Knowledge-Based Method for Segmentation and Analysis of Lung Boundaries in Chest X-ray Images. Computerized Medical Imaging and Graphics, 22(6):463--477, November-December 1998. [DOI] [bibtex-key = brown-etal98] [bibtex-entry]

  5. C. Evans, R. Jones, and I. Svalbe. Field boundary segmentation in multispectral satellite images. In T. Schenk, editor, ISPRS Commission III Symposium: Object Recognition and Scene Classification from Multispectral and Multisensor Pixels, Columbus, pages 213-217, July 1998. ISPRS. [bibtex-key = evans-jones-svalbe98] [bibtex-entry]

  6. I. Frydendal and R. Jones. Segmentation of sugar beets using image and graph processing. In S. Venkatesh A. Jain and B. Lovell, editors, 14th International Conference on Pattern Recognition, Brisbane, pages 1697-1699, August 1998. IEEE Computer Society Press. [bibtex-key = frydendal-jones98] [bibtex-entry]

  7. P. Soille and H. Talbot. Image structure orientation using mathematical morphology. In S. Venkatesh A. Jain and B. Lovell, editors, 14th International Conference on Pattern Recognition, volume 2, Brisbane, Australia, pages 1467-1469, August 1998. IEEE Computer Society. [bibtex-key = soille-talbot98a] [bibtex-entry]

  8. H. Talbot, C. Evans, and R. Jones. Complete Ordering and Multivariate Mathematical Morphology. In H. Heijmans and J. Roerdink, editors, Mathematical Morphology and Its Applications to Image and Signal Processing, Amsterdam, pages 27-34, 1998. Kluwer Academic Press. [bibtex-key = talbot-evans-jones98] [bibtex-entry]

1997
  1. E. Breen, R. Jones, and H. Talbot. The morphological approach to industrial image analysis applications. Acta Stereologica, 16(3):233--240, 1997. [bibtex-key = breen-jones-talbot97] [bibtex-entry]

  2. M.J. Buckley and J Yang. Regularised shortest-path extraction. Pattern Recognition Letters, 18:621--629, 1997. [bibtex-key = buckley-yang97] [bibtex-entry]

  3. C. Glasbey and R. Jones. Fast computation of moving average and related filters in octagonal windows. Pattern Recognition Letters, 18(6):555-565, June 1997. [bibtex-key = glasbey-jones97] [bibtex-entry]

  4. T.C.M. Lee and M. Berman. Nonparametric estimation and simulation of two-dimensional Gaussian image textures. Graphical Models and Image Processing, 59(6):434-445, 1997. [bibtex-key = lee-berman97] [bibtex-entry]

  5. C. Sun. Fast Recovery of Rotational Symmetry Parameters Using Gradient Orientation. Optical Engineering, 36(4):1073--1077, April 1997. [DOI] [bibtex-key = sun97a] [bibtex-entry]

  6. C. Sun and J. Sherrah. 3D Symmetry Detection Using Extended Gaussian Image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2):164--168, February 1997. [DOI] [bibtex-key = sun-sherrah97] [bibtex-entry]

  7. C. Evans, R. Jones, and I. Svalbe. Nonlinear Image Processing using Alternative Orderings. In R. Chaplin and W. Page, editors, Digital Image and Vision Computing: Techniques and Applications, Auckland, pages 177-182, December 1997. APRS. [bibtex-key = evans-jones-svalbe97] [bibtex-entry]

  8. R. Jones. Attribute signatures for connecting filtering and segmentation. In R. Chaplin and W. Page, editors, Digital Image and Vision Computing: Techniques and Applications, Auckland, pages 413-418, December 1997. APRS. [bibtex-key = jones97c] [bibtex-entry]

  9. R. Jones. Component trees for image filtering and segmentation. In E. Coyle, editor, Proceedings of the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, September 1997. [bibtex-key = jones97a] [bibtex-entry]

  10. T.C.M. Lee and H. Talbot. Automatic Reconnection of Linear Segments by the Minimum Description Length Principle. In Digital Image and Vision Computing: Techniques and Applications, pages 555-560, Dec. 1997. [bibtex-key = LeeTalbot97] [bibtex-entry]

  11. S.W. Menzies, L. Bischof, G. Peden, H. Talbot, A. Gutenev, R. Thompson, K. McNamara, G. Burlutski, W. McCarthy, and V. Skladnev. Automated instrumentation for the diagnosis of invasive melanoma - image analysis of epiluminescence microscopy. In Skin Cancer and UV Radiation, pages 1064-1070, 1997. Springer-Verlag. [bibtex-key = menzies-etal97] [bibtex-entry]

  12. C. Sun and D. Si. Skew and Slant Correction for Document Images Using Gradient Direction. In Fourth International Conference on Document Analysis and Recognition, Ulm, Germany, pages 142--146, 18-20 August 1997. IEEE. [bibtex-key = sun-si97] [bibtex-entry]

  13. C. Sun. A Fast Stereo Matching Method. In Digital Image and Vision Computing: Techniques and Applications, Massey University, Auckland, New Zealand, pages 95--100, December 10-12 1997. [bibtex-key = sun97b] [bibtex-entry]

  14. C. Sun and X. Wu. A Method for Automatic Segmentation of Fiducial Marks. In H. Pan, M. Brooks, D. McMichael, and G. Newsam, editors, International Workshop on Image Analysis and Information Fusion, Adelaide, Australia, pages 43--49, 6-8 November 1997. [bibtex-key = sun-wu97] [bibtex-entry]

1996
  1. C. A. Glasbey and M. Berman. A review of image analysis in biometry. In P. Armitage and H.A. David, editors,Advances in Biometry, pages 385-403. John Wiley and Sons, New York, 1996. [bibtex-key = glasbey-berman96] [bibtex-entry]

  2. M. Berman, M.L. Bason, F. Ellison, G. Peden, and C.W. Wrigley. Image analysis of whole grains to screen for flour-milling yield in wheat breeding. Cereal Chemistry, 73:323-327, 1996. [bibtex-key = berman-etal96] [bibtex-entry]

  3. E. J. Breen and R. Jones. Attribute Openings, Thinnings and Granulometries. Computer Vision and Image Understanding, 64(3):377-389, November 1996. [bibtex-key = breen-jones96] [bibtex-entry]

  4. R. Jones and P. Soille. Periodic Lines: Definition, cascades, and application to granulometries. Pattern Recognition Letters, 17:1057-1063, 1996. [bibtex-key = jones-soille96] [bibtex-entry]

  5. P. Soille, E. Breen, and R. Jones. Recursive implementation of erosions and dilation along discrete lines at arbitrary angles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(5):562-567, May 1996. [bibtex-key = soille-breen-jones96] [bibtex-entry]

  6. H. Talbot, D. Jeulin, and D. Hanton. Image analysis of insulation mineral fibres. Microscopy, microanalysis and microstructures, 7:361-368, October-December 1996. [bibtex-key = HTmmm96] [bibtex-entry]

  7. M. van Droogenboeck and H. Talbot. Fast Computation of Morphological Operations with Arbitrary Structuring Elements. Pattern Recognition Letters, 17:1451-1460, 1996. [bibtex-key = HTMVanyOpe] [bibtex-entry]

  8. E. Breen and R. Jones. An Attribute--Based Approach to Mathematical Morphology. In P. Maragos, R. Schafer, and M. Butt, editors, Mathematical morphology and its applications to image and signal processing, Atlanta, pages 41-48, 1996. Kluwer Academic Press. [bibtex-key = breen-jones96b] [bibtex-entry]

  9. R. Jones and L. Bischof. A graph--based segmentation of wood micrographs. In Lynne Billard and Nicholas I. Fisher, editors, Computing Science and Statistics, 28, Sydney, pages 12-20, July 1996. Interface Foundation of North America. [bibtex-key = jones-bischof96] [bibtex-entry]

  10. R. Jones and P. Soille. Periodic lines and their application to granulometries. In P. Maragos, R. W. Schafer, and M. A. Butt, editors, Mathematical morphology and its applications to image and signal processing, Atlanta, pages 263-272, 1996. Kluwer Academic Publishers. [bibtex-key = jones-soille96b] [bibtex-entry]

  11. R. Jones and H. Talbot. Morphological filtering for colour images with no new colours. In Image and Vision Computing, Lower Hutt, New Zealand, pages 149-154, 1996. [bibtex-key = jones-talbot96] [bibtex-entry]

  12. T.C.M. Lee and M. Berman. Nonparametric estimation and simulation of two-dimensional Gaussian image textures. In Lynne Billard and Nicholas I. Fisher, editors, Computing Science and Statistics, 28, Sydney, Australia, pages 115-120, July 1996. Interface Foundation of North America. [bibtex-key = lee-berman96] [bibtex-entry]

  13. H. Talbot. A Morphological Algorithm for Linear Segment Detection. In Petros Maragos, Ronald W. Schafer, and Muhammad A. Butt, editors, Mathematical Morphology and its Applications to Image and Signal Processing, Atlanta, pages 219-226, May 1996. Kluwer Academic Press. [bibtex-key = TISMM96] [bibtex-entry]

1995
  1. R. Jones and I. D. Svalbe. Basis algorithms in mathematical morphology. Advances in Electronics and Electron Physics, 87:325-390, 1995. [bibtex-key = jones-svalbe95] [bibtex-entry]

  2. A. Lipton and E.J. Breen. On the use of local statistical properties in focusing microscopy images. Microscopy Research and Technique, 31:326-333, 1995. [bibtex-key = lipton-breen95] [bibtex-entry]

  3. C. Sun. Symmetry Detection Using Gradient Information. Pattern Recognition Letters, 16(9):987--996, September 1995. [DOI] [bibtex-key = sun95a] [bibtex-entry]

  4. M. Berman, M.L. Bason, F. Ellison, G. Peden, and C.W. Wrigley. Prediction of milling yield by image analysis of whole grains to screen yield in wheat breeding. In Proc. 45th Australian Cereal Chemistry Conference, pages 227-231, 1995. [bibtex-key = berman-etal95] [bibtex-entry]

  5. E. Breen and R. Jones. Attribute--based morphology. In Anthony Maeder and Brian Lovell, editors, Digital Image Computing: Techniques and Applications, Brisbane, pages 655-660, December 1995. APRS. [bibtex-key = breen-jones95] [bibtex-entry]

  6. C. Glasbey and R. Jones. Fast Computation of Moving Average Filters in Polygonal Windows. In Anthony Maeder and Brian Lovell, editors, Digital Image Computing: Techniques and Applications, Brisbane, pages 198-203, December 1995. APRS. [bibtex-key = glasbey-jones95] [bibtex-entry]

  7. R. Jones. A graph--based segmentation of eucalypt pulpwood images. In Anthony Maeder and Brian Lovell, editors, Digital Image Computing: Techniques and Applications, Brisbane, pages 151-156, December 1995. APRS. [bibtex-key = jones95] [bibtex-entry]

  8. T. Lee and H. Talbot. A Fast Method for Detecting and Matching Linear Features in Images. In Digital Image Computing: Techniques and Applications, Brisbane, Australia, pages 649--654, Dec. 1995. [bibtex-key = LeeTalbot95] [bibtex-entry]

  9. P. Soille, E. Breen, and R. Jones. A fast algorithm for min/max filters along lines of arbitrary orientation. In I. Pitas, editor, IEEE Workshop on nonlinear signal and image processing, volume II, Neos Marmaras, pages 987-990, June 1995. [bibtex-key = soille-breen-jones95] [bibtex-entry]

  10. L.S. Wilson, M.S. Brown, H.E. Talhami, R.G.W. Gill, C. Sun, and B.D. Doust. An `Expert Assistant' for Chest X-ray Based on Anatomical Models. In H. Lemke, K. Inamura, C. Jaffe, and M Vannier, editors, Computer Assisted Radiology, Berlin, pages 336--341, June 21-24 1995. Springer-Verlag. [bibtex-key = wilson-etal95a] [bibtex-entry]

  11. L.S. Wilson, M.S. Brown, H.E. Talhami, R.G.W. Gill, C. Sun, and B.D. Doust. Medical Image Understanding Using Anatomical Models: Applications to Chest X-rays. In Y. Bizais, C. Barillot, and R. Di Paola, editors, Information Processing in Medical Imaging, France, pages 239--250, June 1995. Kluwer Academic Publishers. [bibtex-key = wilson-etal95b] [bibtex-entry]

1994
  1. E.J. Breen and D. Monro. An evaluation of priority queues for mathematical morphology. In J. Serra and P. Soille, editors,Mathematical morphology and its applications to image processing, pages 249--256. Kluwer Academic Publishers, 1994. [bibtex-key = breen-monro94] [bibtex-entry]

  2. R. Adams and L. Bischof. Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:641-647, 1994. [bibtex-key = adams-bischof94] [bibtex-entry]

  3. M. Berman, L. Bischof, E.J. Breen, and G.M. Peden. Image Analysis. Materials Forum, 18:1-19, 1994. [bibtex-key = berman-etal94b] [bibtex-entry]

  4. M. Berman. Automated smoothing of image and other regularly spaced data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:460-468, 1994. [bibtex-key = berman94a] [bibtex-entry]

  5. M. Berman, L. Bischof, S.J. Davies, A.A. Green, and M. Craig. Estimating band-to-band misregistrations in aliased imagery. CVGIP: Graphical Models and Image Processing, 56(6):479-493, 1994. [bibtex-key = berman-etal94a] [bibtex-entry]

  6. E.J. Breen. Regression methods for automated colour image classification and thresholding. J. Microsc., 174, 1994. [bibtex-key = breen94] [bibtex-entry]

  7. E.J. Breen and K.L. Williams. Optical flow analysis of the ventral cellular layer of the migrating Dictyostelium discoideum slug. Microbiology, 140:1241--1251, 1994. [bibtex-key = breen-williams94] [bibtex-entry]

  8. J. Broerse, R. Li, and R. Ashton. Ambiguous pictorial depth cues and perceptions of nonrigid motion in the three-loop figure. Perception, 23(9):1049--1062, 1994 . [bibtex-key = PictCues] [bibtex-entry]

  9. M.J. Buckley. Fast computation of a discretized thin-plate smoothing spline for image data. Biometrika, 81:247--258, 1994. [bibtex-key = buckley94] [bibtex-entry]

  10. R. Jones and I. D. Svalbe. Morphologic filtering as template matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:438-443, 1994. [bibtex-key = jones-svalbe94a] [bibtex-entry]

  11. R. Jones and I. D. Svalbe. Algorithms for the decomposition of gray-scale morphological operations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(16):581-588, 1994. [bibtex-key = jones-svalbe94b] [bibtex-entry]

  12. M. S. Brown, R. W. Gill, T. Loupas, H. E. Talhami, L. S. Wilson, B. D. Doust, L. Bischof, E. J. Breen, Y. Jiang, and C. Sun. Model-Based Interpretation of Chest X-Rays. In A. H. Rowberg J. M. Boehme and N. T. Wolfman, editors, Computer Applications to Asist Radiology, pages 344--349, 1994. Symposia Foundation. [bibtex-key = brown-etal94] [bibtex-entry]

  13. C. Sun and A.K. Forrest. Robust Estimation for Motion Parameters. In Edwin Hancock, editor, Proc British Machine Vision Conference, volume Two, University of York, UK, pages 741-750, 13-16 September 1994. BMVA Press. [bibtex-key = sun-forrest94] [bibtex-entry]

1993
  1. M. Smyth and M.J. Buckley. Statistical analysis of the microlithotype sequences in the Bulli Seam, Australia, and relevence to permeability for coal gas. Int. J. Coal Geology, 22:167--187, 1993. [bibtex-key = smyth-buckley93] [bibtex-entry]

  2. R. Adams, M. Berman, M. Buckley, D.I. Farrant, C.H. Freund, Z. Hegedus, B.F. Oreb, and C.J. Walsh. Measurements of fine tolerance automotive components using light sectioning techniques. In Proc. 26th ISATA Meeting: Laser Applications for the Automotive Industries, pages 403-409, 1993. [bibtex-key = adams-etal93] [bibtex-entry]

  3. M.L. Bason, G.M. Peden, S. Zounis, C. Wrigley, and M. Berman. Detection of red-grained wheat by tristimulus colorimetry and digital image analysis. In Proc. 43rd Aust. Cereal Chemistry Conference, pages 29-34, 1993. [bibtex-key = bason-etal93] [bibtex-entry]

  4. L. Bischof. A colour image classifier combining non-parametric spectral and spatial techniques. In Proc. DICTA`93 - Digital Image Computing: Techniques and Applications, Melbourne, pages 438-443, 1993. [bibtex-key = bischof93] [bibtex-entry]

  5. E.J. Breen and G.M. Peden. Automatic thresholding and edge linking of ferritic steel weld images. In Proceedings of DICTA-93. Digital image computing: techniques and applications, volume II, pages 139--146, 1993. [bibtex-key = breen-peden93b] [bibtex-entry]

  6. E.J. Breen, G.M. Peden, M.J. Buckley, M. Berman, and Y. Jiang. mage analysis and capture for the material sciences at CSIRO Division of Mathematics and Statistics.. In , Microscopy: Material & Methods., pages 37-41, 1993. IMMA Conference Proceedings. [bibtex-key = breen-etal93] [bibtex-entry]

  7. E.J. Breen and G.M. Peden. Automatic analysis of ferritic steel weld images. In Proceedings of the first New Zealand Conference on image and vision computing, pages 117--124, 1993. [bibtex-key = breen-peden93] [bibtex-entry]

  8. E.J. Breen and P.J. Soille. Generalization of van Herk recursive erosion/dilation algorithm to lines at arbitrary angles.. In Proceedings of DICTA-93. Digital Image Computing: Techniques and Applications, volume II, Sydney, pages 549--555, December 1993. APRS. [bibtex-key = breen-soille93] [bibtex-entry]

  9. C. Sun and A.K. Forrest. Robust structure from motion using multiple constraints. In Digital Image Computing: Techniques and Applications, volume II, Macquarie University, Australia, pages 794--801, 8-10 December 1993. Australian Pattern Recognition Society. [bibtex-key = sun-forrest93dicta] [bibtex-entry]

1992
  1. M. Berman and T.R. Turner. Approximating point process likelihoods with GLIM. Applied Statistics, 41:31-38, 1992. [bibtex-key = berman-turner92] [bibtex-entry]

  2. M. Berman. Some statistical problems arising in the analysis of image data. In Proceedings of the XVIth International Biometric Conference, Hamilton, New Zealand, pages 265-278, 1992. [bibtex-key = berman92] [bibtex-entry]

  3. C. Sun and A. K. Forrest. Depth reversal in binocular vision with symmetrical convergence. In SPIE Conference on Intelligent Robots and Computer Vision XI: Algorithms, Techniques and Active Vision, volume 1825, Boston, Massachusetts, USA, pages 207-214, 15-20 November 1992. [bibtex-key = sun-forrest92ircv] [bibtex-entry]

  4. C. Sun and A. K. Forrest. Relationships between hovering depth and viewing positions. In B. E. Rogowitz, editor, SPIE Conference on Human Vision, Visual Processing and Digital Display III, volume 1666, San Jose, California, USA, pages 483--490, 11-14 February 1992. [bibtex-key = sun-forrest92hvvpdd] [bibtex-entry]

1991
  1. M.J. Buckley. Detecting smooth signal : optimality of cusum based procedures. Biometrika, 78:253--62, 1991. [bibtex-key = buckley91] [bibtex-entry]

  2. C. Sun, O. S. Sezgin, A. K. Forrest, and B. L. Davies. Use of vision in dispensing control and inspection of adhesives. Robotica, 9(4):371--377, October-December 1991. [bibtex-key = sun-etal91rob] [bibtex-entry]

  3. M. Berman, A.A. Green, L. Bischof, S.J. Davies, and M. Craig. Estimating band-to-band misregistrations in multivariate imaging. In Proc. 23rd Symp. on the Interface, Seattle, pages 587-592, 1991. [bibtex-key = berman-etal91] [bibtex-entry]

  4. M. Berman. Automated smoothing of image data. In Digital Image Computing: Techniques and Applications, Melbourne, Australia, pages 297-305, 1991. [bibtex-key = berman91] [bibtex-entry]

1990
  1. J.B. Lee, A.S. Woodyatt, and M. Berman. Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform. IEEE Transactions on Geoscience and Remote Sensing, 28:295-304, 1990. [bibtex-key = lee-woodyatt-berman90] [bibtex-entry]

  2. M. Berman, A.A. Green, L. Bischof, S.J. Davies, and M. Craig. A comparison of methods for estimating band-to-band misregistrations. In Proc 5th Australasian Remote Sensing Conference, Perth, pages 987-996, 1990. [bibtex-key = berman-etal90] [bibtex-entry]

1989
  1. M. Berman and P. Diggle. Estimating weighted integrals of the second-order intensity of a spatial point process. Journal of the Royal Statistical Society, Series B, 51:81-92, 1989. [bibtex-key = berman-diggle89] [bibtex-entry]

  2. M. Berman. Large sample bias in least squares estimators of a circular arc center and its radius. Computer Vision, Graphics and Image Processing, 45:126-128, 1989. [bibtex-key = berman89a] [bibtex-entry]

  3. M. Berman. The asymptotic statistical behaviour of some estimators for a circular structural model. Statistics and Probability Letters, 7:413-416, 1989. [bibtex-key = berman89b] [bibtex-entry]

  4. M. Berman. Automated destriping of aircraft scanner imagery. In Image Processing and the Impact of New Technologies, Melbourne, Australia, pages 205-206, 1989. [bibtex-key = berman89] [bibtex-entry]

1988
  1. A.A. Green, M. Berman, P.Switzer, and M. D. Craig. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26:65-74, 1988. [bibtex-key = green-berman-switzer-craig88}] [bibtex-entry]


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