Quantitative Imaging


Publications of year 2020
Articles in journal or book chapters
  1. M. Dai, G. Xiao, S. Cheng, D. Wang, and X. He. Structural Correlation Filters Combined with a Gaussian Particle Filter for Hierarchical Visual Tracking. Neurocomputing, February 2020. [DOI] [bibtex-entry]

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Automated Detection of Pneumoconiosis with Multilevel Deep Features Learned from Chest X-Ray Radiographs. Computers in Biology and Medicine, 2020. [bibtex-entry]

  3. T. Gao, J. Jing, C. Liu, W. Zhang, Y. Gao, and C. Sun. Fast corner detection using approximate form of second-order Gaussian directional derivative. IEEE Access, 8:194092--194104, October 2020. [DOI] [bibtex-entry]

  4. Q. Jin, Z. Meng, C. Sun, H. Cui, and R. Su. RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. Frontiers in Bioengineering and Biotechnology, 8:605132, December 2020. [DOI] [bibtex-entry]

  5. Y. Li, Y. Bi, W. Zhang, and C. Sun. Multi-scale Anisotropic Gaussian Kernels for Image Edge Detection. IEEE Access, 8:1803--1812, 2020. [DOI] [bibtex-entry]

  6. D. Li, C. Sun, S. Wei, Y. Yu, and J. Yang. Robust Cell Image Segmentation via Improved Markov Random Field based on a Chinese Restaurant Process Model. Journal of Advanced Computational Intelligent and Intelligent Informatics, 24(7):963--971, December 2020. [DOI] [bibtex-entry]

  7. M. Qiao, D. Wang, G. Tuck, L. Little, A. Punt, and M. Gerner. Deep learning methods applied to electronic monitoring data: Automated catch event detection for longline fishing. ICES Journal of Marine Science, 2020. [bibtex-entry]

  8. S. Rahman, L. Wang, C. Sun, and L. Zhou. Deep Learning for HEp-2 Image Classification: A Comprehensive Review. Medical Image Analysis, 65:101764, October 2020. [DOI] [bibtex-entry]

  9. H. Sanicola, C. Stewart, M. Mueller, F. Ahmadic, D. Wang, S. Powell, K. Sarkar, K. Cutbush, M. Woodruff, and D. Brafman. Guidelines for Establishing a 3-D Printing Biofabrication Laboratory. Biotechnology Advances, 2020. [bibtex-entry]

  10. C. E. Stewart, C. Kan, B. R. Stewart, H. W. 3rd Sanicola, J. P. Jung, O. Sulaiman, and D. Wang. Machine intelligence for nerve conduit design and production. Journal of Biological Engineering, 14:25, 2020. [DOI] [bibtex-entry]

  11. R. Su, T. Liu, C. Sun, Q. Jin, R. Jennane, and L. Wei. Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing, 385:300--309, April 2020. [DOI] [bibtex-entry]

  12. G. Wang, C. Sun, and A. Sowmya. Learning a compact vein discrimination model with GANerated samples. IEEE Transactions on Information Forensics and Security, 15:635--650, 2020. [DOI] [bibtex-entry]

  13. G. Wang, C. Sun, and A. Sowmya. Multi-weighted co-occurrence feature encoding for vein recognition. IEEE Transactions on Information Forensics and Security, 15:375--390, 2020. [DOI] [bibtex-entry]

  14. G. Wang, C. Sun, and A. Sowmya. Cascaded Attention Guidance Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 29:9190--9203, September 2020. [DOI] [bibtex-entry]

  15. M. Wang, W. Zhang, C. Sun, and A. Sowmya. Corner Detection Based on Shearlet Transform and Multi-directional Structure Tensor. Pattern Recognition, 103:107299, July 2020. [DOI] [bibtex-entry]

  16. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. A Robust Matching Pursuit Algorithm Using Information Theoretic Learning. Pattern Recognition, 107:107415, November 2020. [DOI] [bibtex-entry]

  17. W. Zhang and C. Sun. Corner detection using multi-directional structure tensor with multiple scales. International Journal of Computer Vision, 128(2):438--459, February 2020. [DOI] [bibtex-entry]

Conference articles
  1. L. Devnath, S. Luo, P. Summons, and D. Wang. Performance comparison of deep learning models for black lung detection on chest X-ray radiographs. In 3rd International Conference on Software Engineering and Information Management, Sydney, Australia, 2-15 January 2020. [bibtex-entry]

  2. T. He, Y. Liu, C. Shen, X. Wang, and C. Sun. Instance-Aware Embedding for Point Cloud Instance Segmentation. In Proceedings of European Conference on Computer Vision (ECCV), volume 12375, Glasgow, United Kingdom, pages 255--270, 23-28 August 2020. Springer. [DOI] [bibtex-entry]

  3. M. Qiao, J. Yu, T. Liu, X. Wang, and D. Tao. Diversified Bayesian Nonnegative Matrix Factorization. In The Thirty-fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, pages 5420--5427, 7-12 February 2020. [bibtex-entry]

  4. S. Rahman, L. Wang, C. Sun, and L. Zhou. ReDro: Efficiently Learning Large-sized SPD Visual Representation. In Proceedings of European Conference on Computer Vision (ECCV), volume 12360, Glasgow, United Kingdom, pages 1--17, 23-28 August 2020. Springer. [DOI] [bibtex-entry]

  5. D. Wang, Y. Arzhaeva, L. Devnath, M. Qiao, S. Amirgholipour, Q. Liao, R. McBean, J. Hillhouse, S. Luo, D. Meredith, K. Newbigin, and D. Yates. Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia, 29 November-2 December 2020. [bibtex-entry]


Last modified: Fri Dec 3 13:44:06 2021
Maintained by: Changming Sun.

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