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] 
    @book{liu-etal23aai,
author = {T. Liu and G. Webb and L. Yue and D. Wang},
title = {AI 2023: Advances in Artificial Intelligence, 36th Australasian Joint Conference on Artificial Intelligence},
year = {2023},
month = {December},
volume = {14472},
number = {},
publisher = {Springer},
url = {https://link.springer.com/book/10.1007/978-981-99-8391-9},
pages = {} 
}

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. 
    @article{ahmedt2023monitoring,
title={Monitoring of Pigmented Skin Lesions Using {3D} Whole Body Imaging},
author={Ahmedt-Aristizabal, D. and Nguyen, C. and Tychsen-Smith, L. and Stacey, A. and Li, S. and Pathikulangara, J. and Petersson, L. and Wang, D.},
journal={Computer Methods and Programs in Biomedicine},
volume={232},
month=Mar,
pages={107451},
year={2023},
publisher={Elsevier} 
}

  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] 
    @article{Alam-etal23JBHI,
author = {M. S. Alam and D. Wang and Q. Liao and A. Sowmya},
title = {A Multi-scale Context aware Attention Model for Medical Image Segmentation},
year = {2023},
month = {},
volume = {},
number = {},
doi = {https://doi.org/10.1109/JBHI.2022.3227540},
journal = {IEEE Journal of Biomedical and Health Informatics},
pages = {1--10} 
}

  3. T.-N. Doan and C. Nguyen. A low-cost digital 3D insect scanner. Information Processing in Agriculture, 2023. [DOI] 
    @article{DOAN2023,
title = {A low-cost digital {3D} insect scanner},
journal = {Information Processing in Agriculture},
year = {2023},
doi = {https://doi.org/10.1016/j.inpa.2023.03.003},
author = {T.-N. Doan and C. Nguyen} 
}

  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] 
    @article{jing-etal23pami,
author = {J. Jing and T. Gao and W. Zhang and Y. Gao and C. Sun},
title = {Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review},
year = {2023},
month = {April},
volume = {45},
number = {4},
journal = pami,
pages = {4694--4712},
doi = {https://doi.org/10.1109/TPAMI.2022.3201185} 
}

  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] 
    @article{jing-etal23eswa,
author = {J. Jing and C. Liu and W. Zhang and Y. Gao and C. Sun},
title = {{ECFRNet}: Effective corner feature representations network for image corner detection},
year = {2023},
month = Jan,
volume = {211},
number = {},
journal = {Expert Systems with Applications},
pages = {118673},
doi = {https://doi.org/10.1016/j.eswa.2022.118673} 
}

  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] 
    @article{jing-etal23cviu,
author = {Y. Jing and T. Zhang and Z. Liu and Y. Hou and C. Sun},
title = {{Swin-ResUNet+}: An edge enhancement module for road extraction from remote sensing images},
year = {2023},
month = Dec,
volume = {237},
number = {},
journal = cviu,
pages = {103807},
doi = {https://doi.org/10.1016/j.cviu.2023.103807} 
}

  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] 
    @article{khokher-etal23access,
author = {M. R. Khokher and Q. Liao and A. Smith and C. Sun and D. Mackenzie and M. R. Thomas and D. Wang and E. Edwards},
title = {Early Yield Estimation in Viticulture based on Grapevine Inflorescence Detection and Counting in Videos},
year = {2023},
month = {},
volume = {},
number = {},
journal = {IEEE Access},
pages = {},
doi = {https://doi.org/10.1109/ACCESS.2023.3263238} 
}

  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] 
    @article{Liu-etal23AIC,
author = {H. Liu and D. Wang and K. Xu and P. Zhou and D. Zhou},
title = {Lightweight convolutional neural network for counting densely piled steel bars},
year = {2023},
month = {},
volume = {146},
number = {104692},
doi = {https://doi.org/10.1016/j.autcon.2022.104692},
journal = {Automation in Construction},
pages = {1--14} 
}

  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] 
    @article{lu-etal23access,
author = {J. Lu and G. Peng and W. Zhang and C. Sun},
title = {Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection},
year = {2023},
month = {November},
volume = {11},
number = {},
journal = {IEEE Access},
pages = {121688--121701},
doi = {https://doi.org/10.1109/ACCESS.2023.3329300} 
}

  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] 
    @article{song-etal23tip,
author = {J. Song and K. Liu and A. Sowmya and C. Sun},
title = {Super-resolution phase retrieval network for single-pattern structured light {3D} imaging},
year = {2023},
month = Jan,
volume = {32},
number = {},
journal = itip,
pages = {537--549},
doi = {https://doi.org/10.1109/TIP.2022.3230245} 
}

  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] 
    @article{su-etal23methods,
author = {R. Su and H. He and C. Sun and X. Wang and X. Liu},
title = {Prediction of drug-induced hepatotoxicity based on histopathological whole slide images},
year = {2023},
month = {April},
volume = {212},
number = {},
journal = {Methods},
pages = {31--38},
doi = {https://doi.org/10.1016/j.ymeth.2023.01.005},

}

  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] 
    @article{sun-etal23tim,
author = {L. Sun and J. Bockman and C. Sun},
title = {A Framework for Leveraging Interimage Information in Stereo Images for Enhanced Semantic Segmentation in Autonomous Driving},
year = {2023},
month = Oct,
volume = {72},
number = {},
journal = {IEEE Transactions on Instrumentation and Measurement},
pages = {5033112},
doi = {https://doi.org/10.1109/TIM.2023.3328708} 
}

  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. 
    @article{xi2023smart,
title={Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management},
author={Xi, M. and Rahman, A. and Nguyen, C. and Arnold, S. and McCulloch, J.},
journal={Aquacultural Engineering},
pages={102339},
year={2023},
volume={102},
publisher={Elsevier} 
}

  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] 
    @article{zhang-etal23pami,
author = {W. Zhang and C. Sun and Y. Gao},
title = {Image intensity variation information for interest point detection},
year = {2023},
month = Aug,
volume = {45},
number = {8},
journal = pami,
pages = {9883--9894},
doi = {http://doi.org/10.1109/TPAMI.2023.3240129},

}

  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] 
    @article{Zheng-etal23MIR,
author = {Q. Zheng and C. Wang and D. Wang and D. Tao},
title = {Visual superordinate abstraction for robust concept learning},
year = {2023},
month = Feb,
volume = {20},
number = {1},
doi = {https://doi.org/10.1007/s11633-022-1360-1},
journal = {Machine Intelligence Research},
pages = {79--91} 
}

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. 
    @inproceedings{bai-etal23NeurIPS,
author = {Y. Bai and E. Yang and Z. Wang and Y. Du and B. Han and C. Deng and D. Wang and T. Liu},
title = {Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping},
year = {2023},
month = {Dec. 10-16},
volume = {},
booktitle = {NeurIPS},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {New Orleans, USA},
url = {} 
}

  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. 
    @inproceedings{huang-etal23ICCV,
author = {H. Huang and H. Kang and S. Liu and O. Salvado and T. Rakotoarivelo and D. Wang and T. Liu},
title = {{PADDLES}: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels},
year = {2023},
month = {2-6 October},
volume = {},
booktitle = {ICCV},
editor = {},
organization = {},
pages = {},
publisher = { IEEE },
address = {Paris, France},
url = {} 
}

  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] 
    @inproceedings{jin-etal23bibm,
author = {Q. Jin and H. Cui and C. Sun and J. Huang and P. Xuan and Y. Xu and L. Wang and L. Cao and L. Wei and R. Su},
title = {Shape-aware contrastive deep supervision for esophageal tumor segmentation from {CT} scans},
year = {2023},
month = {5-8 December},
volume = {},
booktitle = {IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
editor = {},
organization = {},
pages = {1188--1193},
publisher = {},
address = {Istanbul, Turkey},
doi = {https://doi.ieeecomputersociety.org/10.1109/BIBM58861.2023.10385830} 
}

  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] 
    @inproceedings{jin-etal23miccai,
author = {Q. Jin and C. Zou and H. Cui and C. Sun and S.-W. Huang and Y.-J. Kuo and P. Xuan and L. Cao and R. Su and L. Wei and B.-L. Duh and Y.-P. Chen},
title = {Multi-modality contrastive learning for sarcopenia screening from hip {X}-rays and clinical information},
year = {2023},
month = {8-12 October},
volume = {},
booktitle = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
editor = {},
organization = {},
pages = {85--94},
publisher = {},
address = {Vancouver, Canada},
doi = {https://doi.org/10.1007/978-3-031-43987-2_9} 
}

  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. 
    @inproceedings{liu-etal23acmmm,
author = {C. Liu and P. Li and X. Qi and H. Zhang and L. and D. Wang and X. Yu},
title = {Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics},
year = {2023},
month = {28 November - 9 December},
volume = {},
booktitle = {ACMMM},
editor = {},
organization = {},
pages = {},
publisher = {Association for Computing Machinery},
address = {Ottawa, Canada},
url = {} 
}

  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] 
    @inproceedings{rahman-etal23cvpr,
author = {S. Rahman and P. Koniusz and L. Wang and L. Zhou and P. Moghadam and C. Sun},
title = {Learning Partial Correlation based Deep Visual Representation for Image Classification},
year = {2023},
month = {18-22 June},
volume = {},
booktitle = {Proceedings of Computer Vision and Pattern Recognition (CVPR)},
editor = {},
organization = {},
pages = {6231--6240},
publisher = {},
address = {Vancouver, Canada},
doi = {https://doi.org/10.1109/CVPR52729.2023.00603} 
}

  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] 
    @inproceedings{tao-etal23ijcai,
author = {L. Tao and M. Dong and D. Liu and C. Sun and C. Xu},
title = {Calibrating a Deep Neural Network with Its Predecessors},
year = {2023},
month = {19-25 August},
volume = {},
booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
editor = {},
organization = {},
pages = {4271--4279},
publisher = {},
address = {Macao, S.A.R.},
url = {https://www.ijcai.org/proceedings/2023/0475.pdf} 
}

  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. 
    @inproceedings{tong2023seeing,
title={Seeing Through the Glass: Neural {3D} Reconstruction of Object Inside a Transparent Container},
author={Tong, J. and Muthu, S. and Maken, F. and Nguyen, C. and Li, H.},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={12555--12564},
year={2023} 
}

  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. 
    @inproceedings{xu-etal23miccai,
author = {H. Xu and D. Wang and I. Katz and A. Sowmya},
title = {Detection of basal cell carcinoma in whole slide images},
year = {2023},
month = {8-12 October},
volume = {},
booktitle = {MICCAI},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Vancouver, Canada},
url = {} 
}


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Last modified: Fri Apr 26 18:59:19 2024
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