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] [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-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-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-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-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-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-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-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-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-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-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-entry]

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. [bibtex-entry]

  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] [bibtex-entry]

  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] [bibtex-entry]

  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] [bibtex-entry]

  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. [bibtex-entry]

  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. [bibtex-entry]


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