Publications

Quantitative Imaging


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Publications of year 2023
Books and proceedings
  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-entry]

Articles in journal or book chapters
  1. 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-entry]

  2. 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-entry]

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

  4. 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-entry]

  5. 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-entry]

  6. 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-entry]

  7. 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-entry]

  8. 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-entry]

  9. 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-entry]

  10. 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-entry]

  11. 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-entry]

  12. 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-entry]

  13. 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-entry]

  14. 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-entry]

  15. 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-entry]

Conference articles
  1. 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-entry]

  2. 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-entry]

  3. 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-entry]

  4. 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-entry]

  5. 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-entry]

  6. 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-entry]

  7. 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-entry]

  8. 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-entry]

  9. 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-entry]


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