Label-free segmentation of COVID-19 lesions in lung CT Q Yao, L Xiao, P Liu, SK Zhou IEEE transactions on medical imaging 40 (10), 2808-2819, 2021 | 134 | 2021 |
3D U 2-Net: A 3D universal U-Net for multi-domain medical image segmentation C Huang, Q Yao, H Han, S Zhu, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 118 | 2019 |
You only learn once: Universal anatomical landmark detection H Zhu, Q Yao, L Xiao, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 53* | 2021 |
Miss the point: Targeted adversarial attack on multiple landmark detection Q Yao, Z He, H Han, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
One-Shot Medical Landmark Detection Q Yao, Q Quan, L Xiao, SK Zhou MICCAI 2021, 2021 | 30 | 2021 |
Which images to label for few-shot medical landmark detection? Q Quan*, Q Yao*, J Li, Zhou, S. Kevin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
Adversarial Medical Image with Hierarchical Feature Hiding Q Yao, Z He, Y Li, Y Lin, K Ma, Y Zheng, SK Zhou IEEE transactions on medical imaging, 2023 | 17* | 2023 |
Fairness in Medical Image Analysis and Healthcare: A Literature Survey Z Xu, J Li, Q Yao, H Li, SK Zhou TechRxiv, 2023 | 13* | 2023 |
Datr: Domain-adaptive transformer for multi-domain landmark detection H Zhu, Q Yao, SK Zhou arXiv preprint arXiv:2203.06433, 2022 | 12 | 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 MICCAI 2023, 2023 | 7 | 2023 |
Information-guided pixel augmentation for pixel-wise contrastive learning Q Quan, Q Yao, J Li arXiv preprint arXiv:2211.07118, 2022 | 7* | 2022 |
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 | 5 | 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 | 4 | 2022 |
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training R Wang, Q Yao, H Lai, Z He, X Tao, Z Jiang, SK Zhou arXiv preprint arXiv:2312.13316, 2023 | 3 | 2023 |
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification H Lai*, Q Yao*, Z Jiang, R Wang, Z He, X Tao, SK Zhou CVPR 2024, 2024 | 2 | 2024 |
Medical aegis: Robust adversarial protectors for medical images Q Yao, Z He, SK Zhou arXiv preprint arXiv:2111.10969, 2021 | 2 | 2021 |
Rib Suppression in Digital Chest Tomosynthesis Y Sun, Q Yao, Y Lyu, J Wang, Y Xiao, H Liao, SK Zhou MICCAI 2022, 2022 | 1 | 2022 |
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 | | 2024 |
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models R Jin, Z Xu, Y Zhong, Q Yao, Q Dou, SK Zhou, X Li arXiv preprint arXiv:2407.00983, 2024 | | 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 | | 2024 |