| Deep learning for computational cytology: A survey H Jiang, Y Zhou, Y Lin, RCK Chan, J Liu, H Chen Medical Image Analysis, 2023 | 84 | 2023 |
| Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: the ADAM challenge KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ... Neuroimage, 2021 | 67 | 2021 |
| Bi-modality medical image synthesis using semi-supervised sequential generative adversarial networks X Yang, Y Lin, Z Wang, X Li, KT Cheng IEEE Journal of Biomedical and Health Informatics, 2019 | 64 | 2019 |
| A two-stage convolutional neural network for pulmonary embolism detection from CTPA images X Yang, Y Lin, J Su, X Wang, X Li, J Lin, KT Cheng IEEE Access, 2019 | 63 | 2019 |
| Promptmrg: Diagnosis-driven prompts for medical report generation H Jin, H Che, Y Lin, H Chen AAAI, 2024 | 44 | 2024 |
| Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation Y Lin, D Zhang, X Fang, Y Chen, KT Cheng, H Chen International Conference on Information Processing in Medical Imaging (IPMI), 2023 | 44 | 2023 |
| Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions D Zhang, Y Lin, H Chen, Z Tian, X Yang, J Tang, KT Cheng arXiv preprint arXiv:2209.10307, 2022 | 40 | 2022 |
| Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training Y Lin, Z Qu, H Chen, Z Gao, Y Li, L Xia, K Ma, Y Zheng, KT Cheng Medical Image Analysis, 2023 | 39* | 2023 |
| Deep learning in breast cancer imaging: A decade of progress and future directions L Luo, X Wang, Y Lin, X Ma, A Tan, R Chan, V Vardhanabhuti, WCW Chu, ... IEEE Reviews in Biomedical Engineering, 2024 | 37 | 2024 |
| Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization Z Wang, Y Lin, KTT Cheng, X Yang Medical Image Analysis, 2020 | 37 | 2020 |
| Seg4Reg networks for automated spinal curvature estimation Y Lin, HY Zhou, K Ma, X Yang, Y Zheng Computational Methods and Clinical Applications for Spine Imaging Workshop …, 2020 | 33 | 2020 |
| InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation Y Lin, Z Wang, KT Cheng, H Chen MICCAI 2022, 2022 | 30 | 2022 |
| Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge L Wang, C Xie, Y Lin, HY Zhou, K Chen, D Cheng, F Dubost, B Collery, ... Medical Image Analysis, 2021 | 26 | 2021 |
| Label-efficient deep learning in medical image analysis: Challenges and future directions C Jin, Z Guo, Y Lin, L Luo, H Chen arXiv preprint arXiv:2303.12484, 2023 | 25 | 2023 |
| Seg4reg+: Consistency learning between spine segmentation and cobb angle regression Y Lin, L Liu, K Ma, Y Zheng MICCAI 2021, 2021 | 25 | 2021 |
| A hierarchical feature constraint to camouflage medical adversarial attacks Q Yao, Z He, Y Lin, K Ma, Y Zheng, SK Zhou MICCAI 2021, 2021 | 24 | 2021 |
| Few Shot Medical Image Segmentation with Cross Attention Transformer Y Lin, Y Chen, KT Cheng, H Chen MICCAI 2023, 2023 | 20 | 2023 |
| Automated pulmonary embolism detection from CTPA images using an end-to-end convolutional neural network Y Lin, J Su, X Wang, X Li, J Liu, KT Cheng, X Yang MICCAI 2019, 2019 | 20 | 2019 |
| A deep learning approach to predict conductive hearing loss in patients with otitis media with effusion using otoscopic images J Zeng, W Kang, S Chen, Y Lin, W Deng, Y Wang, G Chen, K Ma, F Zhao, ... JAMA Otolaryngology–Head & Neck Surgery, 2022 | 19 | 2022 |
| Detection and analysis of cerebral aneurysms based on X-ray rotational angiography-the CADA 2020 challenge M Ivantsits, L Goubergrits, JM Kuhnigk, M Huellebrand, J Bruening, ... Medical Image Analysis, 2022 | 17 | 2022 |
Kwang-Ting (Tim) ChengChair Professor of ECE and CSE, HKUST在 ust.hk 的電子郵件地址已通過驗證
