Publications

Quantitative Imaging


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Publications of year 2022
Articles in journal or book chapters
  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] 
    @article{Liton-etal22ijerph,
author = {L. Devnath and Z. Fan and S. Luo and P. Summons and D. Wang},
title = {Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest {X}-rays},
year = {2022},
month = {September},
volume = {19},
number = {18},
doi = {https://doi.org/10.3390/ijerph191811193},
journal = {International Journal of Environmental Research and Public Health},
pages = {1-21} 
}

  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] 
    @article{devnat-etal22jcm,
author = {L. Devnath and S. Luo and P. Summons and D. Wang},
title = {Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker's Chest {X}-ray Radiography},
year = {2022},
month = {September},
volume = {11},
number = {18},
doi = {https://doi.org/10.3390/jcm11185342},
journal = {Journal of Clinical Medicine},
pages = {} 
}

  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] 
    @article{Devnath22IJERPH,
author = {L. Devnath and P. Summons and S. Luo and D. Wang and K. Shaukat and I. Hameed and H. Aljuaid},
title = {Computer-aided diagnosis of coal workers pneumoconiosis in chest {X}-ray radiographs using machine learning: A systematic review},
year = {2022},
month = {May},
volume = {19},
number = {4},
journal = {International Journal of Environmental Research and Public Health},
pages = {1--23},
doi = {https://doi.org/10.3390/ ijerph19116439} 
}

  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] 
    @article{Jiang-etal22NeuroImage,
author = {J. Jiang and D. Wang and Y. Song and P. Sachdev and W. Wen},
title = {Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review},
year = {2022},
month = {August},
volume = {261},
number = {119528},
doi = {https://doi.org/10.1016/j.neuroimage.2022.119528},
journal = {NeuroImage},
pages = {1--18} 
}

  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] 
    @article{jing-etal22neucom,
author = {J. Jing and S. Liu and G. Wang and W. Zhang and C. Sun},
title = {Recent advances on image edge detection: A comprehensive review},
year = {2022},
month = {September},
volume = {503},
number = {},
journal = {Neurocomputing},
pages = {259--271},
doi = {https://doi.org/10.1016/j.neucom.2022.06.083} 
}

  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] 
    @article{liu-etal22eswa,
author = {T. Liu and R. Su and C. Sun and X. Li and L. Wei},
title = {{EOCSA}: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images},
year = {2022},
month = {November},
volume = {206},
number = {},
journal = {Expert Systems with Applications},
pages = {117643},
doi = {https://doi.org/10.1016/j.eswa.2022.117643} 
}

  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] 
    @article{lu-etal22sr,
author = {J. Lu and Y. Zhao and W. Zhang and C. Sun},
title = {Image Local Structure Information Learning for Fine-Grained Visual Classification},
year = {2022},
month = {10 November},
volume = {12},
number = {},
journal = {Scientific Reports},
pages = {19205},
doi = {https://doi.org/10.1038/s41598-022-23835-0} 
}

  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] 
    @article{sun-etal22tro,
author = {L. Sun and W. Yin and E. Xie and Z. Li and C. Sun and C. Shen},
title = {Improving Monocular Visual Odometry Using Learned Depth},
year = {2022},
month = Oct,
volume = {38},
number = {5},
journal = {IEEE Transactions on Robotics},
pages = {3173--3186},
doi = {https://doi.org/10.1109/TRO.2022.3164834} 
}

  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] 
    @article{wang-etal22pr,
author = {M. Wang and C. Sun and A. Sowmya},
title = {Complex Shearlets and Rotary Phase Congruence Tensor for Corner Detection},
year = {2022},
month = {August},
volume = {128},
number = {},
journal = pr,
doi = {https://doi.org/10.1016/j.patcog.2022.108606},
pages = {108606} 
}

  10. M. Wang, C. Sun, and A. Sowmya. Efficient Corner Detection Based on Corner Enhancement Filters. Digital Signal Processing, 122:103364, April 2022. [DOI] 
    @article{wang-etal22dsp,
author = {M. Wang and C. Sun and A. Sowmya},
title = {Efficient Corner Detection Based on Corner Enhancement Filters},
year = {2022},
month = {April},
volume = {122},
number = {},
journal = {Digital Signal Processing},
doi = {https://doi.org/10.1016/j.dsp.2021.103364},
pages = {103364} 
}

  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] 
    @article{Xu-etal22tip,
author = { Y. Xu and X. Yu and J. Zhang and L. Zhu and D. Wang},
title = {Weakly Supervised {RGB-D} Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting},
year = {2022},
month = {March},
volume = {31},
number = {},
doi = {https://doi.org/10.1109/TIP.2022.3151999},
journal = {IEEE Transactions on Image Processing},
pages = {2148--2161} 
}

  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] 
    @article{zheng-etal22jstars,
author = {Z. Zheng and T. Zhang and Z. Liu and B. Liu and Y. Li and C. Sun},
title = {Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved {YOLOv4-CSP}},
year = {2022},
month = {October},
volume = {15},
number = {},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
pages = {9355--9368},
doi = {https://doi.org/10.1109/JSTARS.2022.3214541} 
}

Conference articles
  1. 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. 
    @inproceedings{bai-etal22NeurIPS,
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 = {MSR: Making Self-supervised learning Robust to Aggressive Augmentations},
year = {2022},
month = {28 Nov - 9 Dec},
volume = {},
booktitle = {NeurIPS},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {New Orleans, USA},
url = {} 
}

  2. 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] 
    @inproceedings{jin-etal22miccai,
author = {Q. Jin and H. Cui and C. Sun and J. Zheng and L. Wei and Z. Fang and Z. Meng and R. Su},
title = {Semi-supervised histological image segmentation via hierarchical consistency enforcement},
year = {2022},
month = {18-22 September},
volume = {LNCS 13432},
booktitle = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
editor = {},
organization = {},
pages = {3--13},
publisher = {},
address = {Singapore},
doi = {https://doi.org/10.1007/978-3-031-16434-7_1} 
}

  3. 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] 
    @inproceedings{jing-etal22dicta,
author = {Y. Jing and S. Tu and Z. Liu and Y. Hou and C. Sun},
title = {Swin-{ResUNet}: A Swin-Topology Module for Road Extraction from Remote Sensing Images},
year = {2022},
month = {30 November-2 December},
volume = {},
booktitle = {International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Sydney, Australia},
doi = {https://doi.org/10.1109/DICTA56598.2022.10034582} 
}

  4. 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] 
    @inproceedings{liao-etal22icprai,
author = {Y. Liao and W. Zhang and Y. Gao and C. Sun and X. Yu},
title = {{ASRSNet}: Automatic Salient Region Selection Network for Few-Shot Fine-Grained Image Classification},
year = {2022},
month = {1-3 June},
volume = {LNCS 13363},
booktitle = {International Conference on Pattern Recognition and Artificial Intelligence},
editor = {},
organization = {},
pages = {627--638},
publisher = {},
address = {Paris, France},
doi = {https://doi.org/10.1007/978-3-031-09037-0_51} 
}

  5. 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. 
    @inproceedings{xu-etal22ICASSP,
author = {H. Xu and X. Su and S. You and T. Huang and F. Wang and C. Qian and C. Zhang and C. Xu and D. Wang and A. Sowmya},
title = {Data Agnostic Filter Gating for Efficient Deep Networks},
year = {2022},
month = {22-27 May},
volume = {},
booktitle = {ICASSP},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Singapore},
url = {} 
}

  6. 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. 
    @inproceedings{xu-etal22wcci,
author = {H. Xu and D. Wang and A. Sowmya},
title = {Multi-scale Alignment and Spatial {ROI} Module for {COVID-19} Diagnosis},
year = {2022},
month = {18-23 July},
volume = {},
booktitle = {Proceedings of IEEE World Congress on Computational Intelligence},
editor = {},
organization = {IEEE},
pages = {},
publisher = {},
address = {Padova, Italy},
doi = {} 
}


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Last modified: Thu Oct 17 11:37:12 2024
Maintained by: Changming Sun.

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