| 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 | 77 | 2020 |
| 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 |
| 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 | 37 | 2021 |
| 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 | 27 | 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 | 13 | 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 | 7 | 2022 |
| Information-guided pixel augmentation for pixel-wise contrastive learning Q Quan, Q Yao, J Li arXiv preprint arXiv:2211.07118, 2022 | 5 | 2022 |
| 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 | 4 | 2023 |
| 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 | 3 | 2022 |
| 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 |
| Slide-SAM: Medical SAM Meets Sliding Window Q Quan, F Tang, Z Xu, H Zhu, SK Zhou Medical Imaging with Deep Learning, 2024 | 2 | 2024 |
| 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 | 2 | 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 | 2 | 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 | 2 | 2023 |
| 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 | 2 | 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 | 1 | 2023 |
| Recovering medical images from CT film photos Q Quan, Q Wang, Y Du, L Li, SK Zhou arXiv preprint arXiv:2203.05567, 2022 | 1 | 2022 |
| MixCL: Pixel label matters to contrastive learning J Li, Q Quan, SK Zhou arXiv preprint arXiv:2203.02114, 2022 | 1 | 2022 |
| CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models Q Quan, Q Wang, L Li, Y Du, SK Zhou arXiv preprint arXiv:2012.09491, 2020 | 1 | 2020 |
| 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 | | 2024 |
