Publications

Quantitative Imaging


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Publications of year 2021
Articles in journal or book chapters
  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] 
    @article{Amirgholipour-etal21nc,
author = {S. Amirgholipour and W. Jia and L. Liu and X. Fan and D. Wang and X. He},
title = {{PDAN}et: Pyramid Density-aware Attention based Network for Accurate Crowd Counting},
year = {2021},
month = {April},
volume = {},
number = {},
doi = {https://doi.org/10.1016/j.neucom.2021.04.037},
journal = {Neurocomputing},
pages = {1--16} 
}

  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. 
    @article{chowdhury2021fixed,
title={Fixed-Lens camera setup and calibrated image registration for multifocus multiview {3D} reconstruction},
author={Chowdhury, S. A. H. and Nguyen, C. and Li, H. and Hartley, R.},
journal={Neural Computing and Applications},
volume={33},
pages={7421--7440},
year={2021} 
}

  3. 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] 
    @article{jin-etal21kbs,
author = {Q. Jin and H. Cui and C. Sun and Z. Meng and R. Su},
title = {Free-form tumor synthesis in computed tomography images via richer generative adversarial network},
year = {2021},
month = Apr,
volume = {218},
number = {},
journal = {Knowledge-Based Systems},
pages = {106753},
doi = {https://doi.org/10.1016/j.knosys.2021.106753} 
}

  4. 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] 
    @article{jin-etal21asc,
author = {Q. Jin and H. Cui and C. Sun and Z. Meng and R. Su},
title = {Cascade knowledge diffusion network for skin lesion diagnosis and segmentation},
year = {2021},
month = Feb,
volume = {99},
number = {},
journal = {Applied Soft Computing},
pages = {106881},
doi = {https://doi.org/10.1016/j.asoc.2020.106881} 
}

  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] 
    @article{jin-etal21eswa,
author = {Q. Jin and H. Cui and C. Sun and Z. Meng and L. Wei and R. Su},
title = {Domain adaptation based self-correction model for {COVID}-19 infection segmentation in {CT} images},
year = {2021},
month = Aug,
volume = {176},
number = {},
journal = {Expert Systems with Applications},
pages = {114848},
doi = {https://doi.org/10.1016/j.eswa.2021.114848} 
}

  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] 
    @article{Ke-etal21li,
author = {J. Ke and Y. Lu and Y. Shen and J. Deng and J. Wright and Y. Zhang and H. Qin and D. Wang and X. Liang and F. Jiang},
title = {Quantitative Analysis of Abnormalities in Gynecologic Cytopathology with Deep Learning},
year = {2021},
month = {February},
volume = {101},
number = {},
doi = {https://doi.org/10.1038/s41374-021-00537-1},
journal = {Laboratory Investigation},
pages = {513--524} 
}

  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] 
    @article{Khokher-etal21cjfas,
author = {M. R. Khokher and L. R. Little and G. N. Tuck and D. V. Smith and M. Qiao and C. Devine and H. O'Neill and J. Pogonoski and R. Arangio and D. Wang},
title = {Early lessons in deploying cameras and artificial intelligence technology for fisheries catch monitoring: where machine learning meets commercial fishing},
year = {2021},
month = {July},
volume = {},
number = {},
doi = {https://doi.org/10.1139/cjfas-2020-0446},
journal = {Canadian Journal of Fisheries and Aquatic Sciences},
pages = {} 
}

  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] 
    @article{li-etal21cmmm,
author = {D. Li and P. Tang and R. Zhang and C. Sun and Y. Li and J. Qian and Y. Liang and J. Yang and L. Zhang},
title = {Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations},
year = {2021},
month = Aug,
volume = {2021},
number = {},
journal = {Computational and Mathematical Methods in Medicine},
pages = {5590180},
doi = {https://doi.org/10.1155/2021/5590180} 
}

  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] 
    @article{Liao-etal21prl,
author = {Q. Liao and D. Wang and M. Xu},
title = {Category Attention Transfer for Efficient Fine-Grained Visual Categorization},
year = {2021},
month = {November},
volume = {},
number = {},
doi = {https://doi.org/10.1016/j.patrec.2021.11.015},
journal = {Pattern Recognition Letter},
pages = {1-7} 
}

  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] 
    @article{lopez-marcano-etal21eae,
author = {S. Lopez-Marcano and E. Jinks and C. J. Brown and D. Wang and B. Kusy and E. Ditria and R. Connolly},
title = {Automatic detection of fish and tracking of movement for ecology},
year = {2021},
month = {May},
volume = {},
number = {},
doi = {https://doi.org/10.1002/ece3.7656},
journal = {Ecology and Evolution},
pages = {1--10} 
}

  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] 
    @article{mo-etal21jei,
author = {L. Mo and L. Zhu and J. Ma and D. Wang and H. Wang},
title = {MDRSteg: large-capacity image steganography based on multi-scale dilated ResNet and combined chi-square distance loss },
year = {2021},
month = {February},
volume = {30},
number = {1},
doi = {https://doi.org/10.1117/1.JEI.30.1.013018},
journal = {Journal of Electronic Imaging },
pages = {013018} 
}

  12. 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] 
    @article{wang-etal21tip,
author = {G. Wang and C. Sun and A. Sowmya},
title = {Attentive Feature Refinement Network for Single Rainy Image Restoration},
year = {2021},
month = Mar,
volume = {30},
number = {},
journal = itip,
pages = {3734--3747},
doi = {https://doi.org/10.1109/TIP.2021.3064229} 
}

  13. 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] 
    @article{wang-etal21ijcv,
author = {G. Wang and C. Sun and A. Sowmya},
title = {Context-enhanced Representation Learning for Single Image Deraining},
year = {2021},
month = {May},
volume = {129},
number = {5},
journal = ijcv,
pages = {1650--1674},
doi = {https://doi.org/10.1007/s11263-020-01425-9} 
}

  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] 
    @article{zhang-etal21tip,
author = {M. Zhang and Y. Gao and C. Sun and M. Blumenstein},
title = {Robust Tensor Decomposition for Image Representation based on Generalized Correntropy},
year = {2021},
month = {},
volume = {30},
number = {},
journal = itip,
pages = {150--162},
doi = {https://doi.org/10.1109/TIP.2020.3033151} 
}

  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] 
    @article{zhang-sun21pami,
author = {W. Zhang and C. Sun},
title = {Corner detection using second-order generalized {G}aussian directional derivative representations},
year = {2021},
month = Apr,
volume = {43},
number = {4},
journal = pami,
pages = {1213--1224},
doi = {http://doi.org/10.1109/TPAMI.2019.2949302},

}

  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] 
    @article{Zhu-etal21Optik,
author = {L. Zhu and X. Wen and L. Mo and J. Ma and D. Wang},
title = {Robust location-secured high-definition image watermarking based on key-point detection and deep learning},
year = {2021},
month = {December},
volume = {248},
number = {},
doi = {https://doi.org/10.1016/j.ijleo.2021.168194},
journal = {Optik},
pages = {} 
}

  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] 
    @article{Zong-etal21ai,
author = {X. Zong and Z. Chen and D. Wang},
title = {Local-{CycleGAN}: A General End-to-End Network for Visual Enhancement},
year = {2021},
month = {April},
volume = {51},
number = {},
doi = {https://doi.org/10.1007/s10489-020-01931-w},
journal = {Applied Intelligence},
pages = {1947--1958} 
}

Conference articles
  1. 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. 
    @inproceedings{Alam-etal21ictai,
author = {M. S. Alam and A. Sowmya and D. Wang},
title = {Bidirectional {ConvLSTM} for lung segmentation from chest {X}-ray images},
year = {2021},
month = {1-3 November},
volume = {},
booktitle = {ICTAI},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Washington, USA},
url = {} 
}

  2. 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. 
    @inproceedings{Alam-etal21dicta,
author = {M. S. Alam and A. Sowmya and D. Wang},
title = {Image data augmentation for improving performance of deep learning-based model in pathological lung segmentation},
year = {2021},
month = {29 November - 1 December},
volume = {},
booktitle = {DICTA},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Gold Coast, Queensland, Australia},
url = {} 
}

  3. 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] 
    @inproceedings{jing-etal21icic,
author = {J. Jing and S. Liu and C. Liu and T. Gao and W. Zhang and C. Sun},
title = {A novel decision mechanism for image edge detection},
year = {2021},
month = {12-15 August},
volume = {},
booktitle = {International Conference on Intelligent Computing},
editor = {},
organization = {},
pages = {274--287},
publisher = {},
address = {Shenzhen, China},
doi = {https://doi.org/10.1007/978-3-030-84522-3_22} 
}

  4. 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] 
    @inproceedings{Nguyen-etal21dicta,
author = {C. Nguyen and D. Wang and K. Richter and P. Valencia and G. Bishop-Hurley},
title = {Video-based cattle identification and behaviour recognition},
year = {2021},
month = {29 November - 1 December},
volume = {},
booktitle = {DICTA},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Gold Coast, Queensland, Australia},
url = {https://arxiv.org/abs/2110.07103} 
}

  5. 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. 
    @inproceedings{rispler-etal21,
author = {A. Rispler and S. Gensemer and S. Gao and T. Doody and C. Sun and R. Lagerstrom},
title = {Payload verification and testing for the {CSIROSat-1} mission},
year = {2021},
month = {28 January-4 February},
volume = {},
booktitle = {43rd COSPAR Scientific Assembly},
editor = {},
organization = {},
address = {Sydney, Australia} 
}

  6. 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] 
    @inproceedings{Vele2021,
author = {L. Velentzis and P. Procopio and S. Carr and L. Devereux and B. Mann and P. James and G. Lee and C. Wellard and Y. Arzhaeva and C. Nickson},
title = {Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia?},
booktitle = {IEA World Congress of Epidemiology},
volume = {50},
number = {Supplement 1},
year = {2021},
month = {September},
pages={i242},
doi = {https://doi.org/10.1093/ije/dyab168.682},

}

  7. 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] 
    @inproceedings{wang-etal21mm,
author = {G. Wang and C. Sun and X. Xu and J. Li and Z. Wang and Z. Ma},
title = {Disentangled Representation Learning and Enhancement Network for Single Image De-Raining},
year = {2021},
month = {20-24 October},
volume = {},
booktitle = {ACM Multimedia},
editor = {},
organization = {},
pages = {3015--3023},
publisher = {},
address = {Chengdu, China},
doi = {https://doi.org/10.1145/3474085.3475632} 
}

  8. 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] 
    @inproceedings{wu-etal21dicta,
author = {R. Wu and C. Sun and Z. Liu and A. Sowmya},
title = {Deep learning based stereo cost aggregation on a small dataset},
year = {2021},
volume = {},
month = {29 November-1 December},
booktitle = {Digital Image Computing: Techniques and Applications},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Gold Coast, Australia},
doi = {https://doi.org/10.1109/DICTA52665.2021.9647104} 
}

  9. 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. 
    @inproceedings{xu20213d,
title={3D reconstruction of insects: An improved multifocus stacking and an evaluation of learning-based MVS approaches},
author={Xu, C. and Liu, J. and Nguyen, C. and Casten, F. and Maujean, B. and Gasparini, S.},
booktitle={2021 International Conference on 3D Vision (3DV)},
pages={1411--1419},
year={2021},
organization={IEEE Computer Society} 
}


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