| A dividing-based many-objective evolutionary algorithm for large-scale feature selection H Li, F He, Y Liang, Q Quan Soft computing 24, 6851-6870, 2020 | 81 | 2020 |
| 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 | 65 | 2021 |
| A multi-phase blending method with incremental intensity for training detection networks Q Quan, F He, H Li The Visual Computer 37 (2), 245-259, 2021 | 64 | 2021 |
| Cmunext: An efficient medical image segmentation network based on large kernel and skip fusion F Tang, J Ding, Q Quan, L Wang, C Ning, SK Zhou 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 53 | 2024 |
| One-shot medical landmark detection Q Yao, Q Quan, L Xiao, S Kevin Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 37 | 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 | 25 | 2022 |
| 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 | 15 | 2022 |
| Slide-sam: Medical sam meets sliding window Q Quan, F Tang, Z Xu, H Zhu, SK Zhou arXiv preprint arXiv:2311.10121, 2023 | 12 | 2023 |
| Uod: Universal one-shot detection of anatomical landmarks H Zhu, Q Quan, Q Yao, Z Liu, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Fairadabn: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification Z Xu, S Zhao, Q Quan, Q Yao, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 9 | 2023 |
| GDDS: pulmonary bronchioles segmentation with group deep dense supervision M Zhao, S Zhao, Q Quan, L Fan, X Qiu, S Liu, SK Zhou arXiv preprint arXiv:2303.09212, 2023 | 5 | 2023 |
| Information-guided pixel augmentation for pixel-wise contrastive learning Q Quan, Q Yao, J Li arXiv preprint arXiv:2211.07118, 2022 | 5 | 2022 |
| Semi-supervised pseudo-healthy image synthesis via confidence augmentation Y Du, Q Quan, H Han, SK Zhou 2022 IEEE 19th international symposium on biomedical imaging (ISBI), 1-4, 2022 | 5 | 2022 |
| Relative distance matters for one-shot landmark detection Q Yao, J Wang, Y Sun, Q Quan, H Zhu, SK Zhou arXiv preprint arXiv:2203.01687, 2022 | 5 | 2022 |
| MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation F Tang, B Nian, J Ding, Q Quan, J Yang, W Liu, SK Zhou arXiv preprint arXiv:2312.01740, 2023 | 4 | 2023 |
| Unsupervised augmentation optimization for few-shot medical image segmentation Q Quan, S Zhao, Q Yao, H Zhu, SK Zhou arXiv preprint arXiv:2306.05107, 2023 | 3 | 2023 |
| Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image Y Du, Q Quan, H Han, SK Zhou arXiv preprint arXiv:2106.15345, 2021 | 3 | 2021 |
| Hyspark: Hybrid sparse masking for large scale medical image pre-training F Tang, R Xu, Q Yao, X Fu, Q Quan, H Zhu, Z Liu, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 2 | 2024 |
| Which images to label for few-shot medical image analysis? Q Quan, Q Yao, H Zhu, Q Wang, SK Zhou Medical Image Analysis 96, 103200, 2024 | 2 | 2024 |
| Apple: adversarial privacy-aware perturbations on latent embedding for unfairness mitigation Z Xu, F Tang, Q Quan, Q Yao, SK Zhou arXiv preprint arXiv:2403.05114, 2024 | 1 | 2024 |
S. Kevin ZhouProfessor, USTC, FAIMBE, FIAMBE, FIEEE, FMICCAI, FNAIVerified email at ustc.edu.cn