| Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation L Yu, S Wang, X Li, CW Fu, PA Heng Medical image computing and computer assisted intervention–MICCAI 2019: 22nd …, 2019 | 867 | 2019 |
| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 612 | 2020 |
| Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation S Wang, L Yu, X Yang, CW Fu, PA Heng IEEE Transactions on Medical Imaging 2019, 2019 | 266 | 2019 |
| Learning from extrinsic and intrinsic supervisions for domain generalization S Wang, L Yu, C Li, CW Fu, PA Heng European Conference on Computer Vision, 159-176, 2020 | 208 | 2020 |
| RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification S Wang, Y Zhu, L Yu, H Chen, H Lin, X Wan, X Fan, PA Heng Medical image analysis 58, 101549, 2019 | 165 | 2019 |
| Boundary and entropy-driven adversarial learning for fundus image segmentation S Wang, L Yu, K Li, X Yang, CW Fu, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 147 | 2019 |
| Dofe: Domain-oriented feature embedding for generalizable fundus image segmentation on unseen datasets S Wang, L Yu, K Li, X Yang, CW Fu, PA Heng IEEE Transactions on Medical Imaging 39 (12), 4237-4248, 2020 | 133 | 2020 |
| A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study CY Cheung, AR Ran, S Wang, VTT Chan, K Sham, S Hilal, ... The Lancet Digital Health 4 (11), e806-e815, 2022 | 115 | 2022 |
| Towards cross-modality medical image segmentation with online mutual knowledge distillation K Li, L Yu, S Wang, PA Heng Proceedings of the AAAI conference on artificial intelligence 34 (01), 775-783, 2020 | 97 | 2020 |
| Multi-granularity cross-modal alignment for generalized medical visual representation learning F Wang, Y Zhou, S Wang, V Vardhanabhuti, L Yu Advances in Neural Information Processing Systems 35, 33536-33549, 2022 | 89 | 2022 |
| Dual-teacher: Integrating intra-domain and inter-domain teachers for annotation-efficient cardiac segmentation K Li, S Wang, L Yu, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 49 | 2020 |
| Agent with warm start and active termination for plane localization in 3D ultrasound H Dou, X Yang, J Qian, W Xue, H Qin, X Wang, L Yu, S Wang, Y Xiong, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 33 | 2019 |
| Dual-teacher++: Exploiting intra-domain and inter-domain knowledge with reliable transfer for cardiac segmentation K Li, S Wang, L Yu, PA Heng IEEE Transactions on Medical Imaging 40 (10), 2771-2782, 2020 | 29 | 2020 |
| Unsupervised retina image synthesis via disentangled representation learning K Li, L Yu, S Wang, PA Heng Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019 | 19 | 2019 |
| CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification G Yang, K Du, Z Yang, Y Du, Y Zheng, S Wang arXiv preprint arXiv:2403.16520, 2024 | 8 | 2024 |
| ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis Y Huang, W Zhao, S Wang, Y Fu, Y Jiang, L Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Why deep surgical models fail?: Revisiting surgical action triplet recognition through the lens of robustness Y Cheng, L Liu, S Wang, Y Jin, CB Schönlieb, AI Aviles-Rivero International Workshop on Trustworthy Machine Learning for Healthcare, 177-189, 2023 | 7 | 2023 |
| Hcdg: A hierarchical consistency framework for domain generalization on medical image segmentation Y Yang, S Wang, L Zhu, L Yu arXiv preprint arXiv:2109.05742, 2021 | 6 | 2021 |
| TrafficCAM: A versatile dataset for traffic flow segmentation Z Deng, Y Chen, L Liu, S Wang, R Ke, CB Schonlieb, AI Aviles-Rivero arXiv preprint arXiv:2211.09620, 2022 | 4 | 2022 |
| MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening Y Yang, S Wang, L Liu, S Hickman, FJ Gilbert, CB Schönlieb, ... arXiv preprint arXiv:2308.01057, 2023 | 3 | 2023 |
Lequan YuAssistant Professor, The University of Hong KongVerified email at hku.hk
