| Visual Mamba: A Survey and New Outlooks R Xu, S Yang, Y Wang, Y Cai, B Du, H Chen arXiv preprint arXiv:2404.18861v2, 2024 | 62* | 2024 |
| Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Y Cai, H Chen, X Yang, Y Zhou, KT Cheng Medical Image Analysis 86, 102794, 2023 | 38 | 2023 |
| Dual-distribution discrepancy for anomaly detection in chest x-rays Y Cai, H Chen, X Yang, Y Zhou, KT Cheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 22 | 2022 |
| Rethinking autoencoders for medical anomaly detection from a theoretical perspective Y Cai, H Chen, KT Cheng International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 6 | 2024 |
| Towards a generalizable pathology foundation model via unified knowledge distillation J Ma, Z Guo, F Zhou, Y Wang, Y Xu, Y Cai, Z Zhu, C Jin, Y Lin, X Jiang, ... arXiv preprint arXiv:2407.18449, 2024 | 6 | 2024 |
| Deep learning-based image quality assessment for optical coherence tomography macular scans: a multicentre study Z Tang, X Wang, AR Ran, D Yang, A Ling, JC Yam, X Zhang, SKH Szeto, ... British Journal of Ophthalmology 108 (11), 1555-1563, 2024 | 4 | 2024 |
| Using deep learning for assessing image-quality of 3d macular scans from spectral-domain optical coherence tomography T Ziqi, X Wang, A Ran, F Tang, Y Cai, H Che, DG Yang, L Luo, Q Liu, ... Investigative Ophthalmology & Visual Science 63 (7), 204–F0051-204–F0051, 2022 | 3 | 2022 |
| MedIAnomaly: A comparative study of anomaly detection in medical images Y Cai, W Zhang, H Chen, KT Cheng arXiv preprint arXiv:2404.04518, 2024 | 2 | 2024 |
| A Deep Learning System to Predict Response to Anti-Vascular Endothelial Growth Factor (VEGF) Therapy in Eyes with Diabetic Macular Edema for Optical Coherence Tomography Images F Tang, X Wang, Y Cai, H Chen, PAHPA Heng, CY Cheung Investigative Ophthalmology & Visual Science 63 (7), 2174–F0237-2174–F0237, 2022 | | 2022 |
| Supplementary Materials-Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective Y Cai, H Chen, KT Cheng | | |
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyVerified email at cse.ust.hk