| Transformer-based unsupervised contrastive learning for histopathological image classification X Wang, S Yang, J Zhang, M Wang, J Zhang, W Yang, J Huang, X Han Medical Image Analysis 81, 102559, 2022 | 193 | 2022 |
| Transpath: Transformer-based self-supervised learning for histopathological image classification X Wang, S Yang, J Zhang, M Wang, J Zhang, J Huang, W Yang, X Han Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 133 | 2021 |
| A Deep Learning Algorithm for Automatic Detection and Classification of Acute Intracranial Hemorrhages in Head CT Scans X Wang, T Shen, S Yang, J Lan, Y Xu, M Wang, J Zhang, X Han NeuroImage: Clinical, 102785, 2021 | 94 | 2021 |
| RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval X Wang, Y Du, S Yang, J Zhang, M Wang, J Zhang, W Yang, J Huang, ... Medical Image Analysis 83, 102645, 2023 | 92 | 2023 |
| PAIP 2019: Liver cancer segmentation challenge YJ Kim, H Jang, K Lee, S Park, SG Min, C Hong, JH Park, K Lee, J Kim, ... Medical image analysis 67, 101854, 2021 | 91 | 2021 |
| Mitosis domain generalization in histopathology images—the MIDOG challenge M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ... Medical Image Analysis 84, 102699, 2023 | 88 | 2023 |
| Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ... Medical Image Analysis 81, 102528, 2022 | 66 | 2022 |
| A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images X Wang, Y Fang, S Yang, D Zhu, M Wang, J Zhang, K Tong, X Han Medical Image Analysis 68, 101914, 2021 | 41 | 2021 |
| Automated Segmentation of Normal and Diseased Coronary Arteries - The ASOCA Challenge R Gharleghi, D Adikari, K Ellenberger, SY Ooi, C Ellis, CM Chen, R Gao, ... Computerized Medical Imaging and Graphics 96, 1, 2022 | 39 | 2022 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 38 | 2022 |
| Automatic segmentation of pneumothorax in chest radiographs based on a two-stage deep learning method X Wang, S Yang, J Lan, Y Fang, J He, M Wang, J Zhang, X Han IEEE Transactions on Cognitive and Developmental Systems 14 (1), 205-218, 2022 | 31 | 2022 |
| SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification X Wang, J Xiang, J Zhang, S Yang, Z Yang, MH Wang, J Zhang, Y Wei, ... Advances in Neural Information Processing Systems 2022, 2022 | 27 | 2022 |
| SK-Unet: An improved U-Net model with selective kernel for the segmentation of multi-sequence cardiac MR X Wang, S Yang, M Tang, Y Wei, X Han, L He, J Zhang Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 26 | 2020 |
| HypernasalityNet: Deep recurrent neural network for automatic hypernasality detection X Wang, S Yang, M Tang, H Yin, H Huang, L He International Journal of Medical Informatics 129, 1-12, 2019 | 25 | 2019 |
| Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification J Xiang, X Wang, J Zhang, S Yang, X Han, W Yang ICLR 2023, 2023 | 24 | 2023 |
| A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images X Wang, J Zhang, S Yang, J Xiang, F Luo, M Wang, J Zhang, W Yang, ... Medical Image Analysis, 102703, 2023 | 23 | 2023 |
| Sk-unet: An improved u-net model with selective kernel for the segmentation of lge cardiac mr images X Wang, S Yang, Y Fang, Y Wei, M Wang, J Zhang, X Han IEEE Sensors Journal 21 (10), 11643-11653, 2021 | 22 | 2021 |
| Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images J Xiang, X Wang, X Wang, J Zhang, S Yang, W Yang, X Han, Y Liu Computers in Biology and Medicine, 106340, 2023 | 20 | 2023 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... CVPR 2023, 2023 | 17 | 2023 |
| Combining radiology and pathology for automatic glioma classification X Wang, R Wang, S Yang, J Zhang, M Wang, D Zhong, J Zhang, X Han Frontiers in Bioengineering and Biotechnology 10, 841958, 2022 | 17 | 2022 |
sen yangSiChuan University在 stu.scu.edu.cn 的电子邮件经过验证
