Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives J Li, J Chen, Y Tang, C Wang, BA Landman, SK Zhou Medical image analysis 85, 102762, 2023 | 137 | 2023 |
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models P Liu, H Han, Y Du, H Zhu, Y Li, F Gu, H Xiao, J Li, C Zhao, L Xiao, X Wu, ... International Journal of Computer Assisted Radiology and Surgery 16, 749-756, 2021 | 64 | 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 97, 102049, 2022 | 41 | 2022 |
CTSpine1K: a large-scale dataset for spinal vertebrae segmentation in computed tomography Y Deng, C Wang, Y Hui, Q Li, J Li, S Luo, M Sun, Q Quan, S Yang, Y Hao, ... arXiv preprint arXiv:2105.14711, 2021 | 39 | 2021 |
Which images to label for few-shot medical landmark detection? Q Quan, Q Yao, J Li, SK Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 19 | 2022 |
Joint coronary centerline extraction and lumen segmentation from ccta using cnntracker and vascular graph convolutional network R Gao, Z Hou, J Li, H Han, B Lu, SK Zhou 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1897-1901, 2021 | 16 | 2021 |
Universal segmentation of 33 anatomies P Liu, Y Deng, C Wang, Y Hui, Q Li, J Li, S Luo, M Sun, Q Quan, S Yang, ... arXiv preprint arXiv:2203.02098, 2022 | 10 | 2022 |
A survey of fairness in medical image analysis: concepts, algorithms, evaluations, and challenges Z Xu, J Li, Q Yao, H Li, X Shi, SK Zhou arXiv preprint arXiv:2209.13177, 2022 | 10 | 2022 |
Information-guided pixel augmentation for pixel-wise contrastive learning Q Quan, Q Yao, J Li arXiv preprint arXiv:2211.07118, 2022 | 5 | 2022 |
MixCL: Pixel label matters to contrastive learning J Li, Q Quan, SK Zhou arXiv preprint arXiv:2203.02114, 2022 | 1 | 2022 |
O2CTA: Introducing Annotations from OCT to CCTA in Coronary Plaque Analysis J Li, K Li, Y Zhou, SK Zhou arXiv preprint arXiv:2303.06358, 2023 | | 2023 |