| Semi-supervised medical image classification with relation-driven self-ensembling model Q Liu, L Yu, L Luo, Q Dou, PA Heng IEEE transactions on medical imaging 39 (11), 3429-3440, 2020 | 212 | 2020 |
| Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images J Zhou, LY Luo, Q Dou, H Chen, C Chen, GJ Li, ZF Jiang, PA Heng Journal of Magnetic Resonance Imaging 50 (4), 1144-1151, 2019 | 123 | 2019 |
| Imbalance aware lithography hotspot detection: a deep learning approach H Yang, L Luo, J Su, C Lin, B Yu Journal of Micro/Nanolithography, MEMS, and MOEMS 16 (3), 033504-033504, 2017 | 114 | 2017 |
| Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis AR Ran, CY Cheung, X Wang, H Chen, L Luo, PP Chan, MOM Wong, ... The Lancet Digital Health 1 (4), e172-e182, 2019 | 110 | 2019 |
| Deep Mining External Imperfect Data for Chest X-ray Disease Screening L Luo, L Yu, H Chen, Q Liu, X Wang, J Xu, PA Heng IEEE Transactions on Medical Imaging, 2020 | 80 | 2020 |
| UD-MIL: uncertainty-driven deep multiple instance learning for OCT image classification X Wang, F Tang, H Chen, L Luo, Z Tang, AR Ran, CY Cheung, PA Heng IEEE journal of biomedical and health informatics 24 (12), 3431-3442, 2020 | 62 | 2020 |
| Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning X Wang, H Chen, AR Ran, L Luo, PP Chan, CC Tham, RT Chang, ... Medical Image Analysis 63, 101695, 2020 | 59 | 2020 |
| Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images Y Li, L Luo, H Lin, H Chen, PA Heng MICCAI 2021 (oral), 2021 | 48 | 2021 |
| OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays L Luo, H Chen, Y Zhou, H Lin, PA Pheng MICCAI 2021, 2021 | 23* | 2021 |
| Deep angular embedding and feature correlation attention for breast MRI cancer analysis L Luo, H Chen, X Wang, Q Dou, H Lin, J Zhou, G Li, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 20 | 2019 |
| Rethinking annotation granularity for overcoming shortcuts in deep learning–based radiograph diagnosis: A multicenter study L Luo, H Chen, Y Xiao, Y Zhou, X Wang, V Vardhanabhuti, M Wu, C Han, ... Radiology: Artificial Intelligence 4 (5), e210299, 2022 | 16* | 2022 |
| Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification L Luo, D Xu, H Chen, TT Wong, PA Heng MICCAI 2022 (early accept), 2022 | 16 | 2022 |
| Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification Y Zhang, L Luo, Q Dou, PA Heng Medical Image Analysis 86, 102772, 2023 | 15 | 2023 |
| 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 | 13 | 2023 |
| Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection Z Chai, L Luo, H Lin, H Chen, PA Heng ISBI 2022 (oral), 2021 | 10 | 2021 |
| Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening X Wang, H Chen, L Luo, A Ran, PP Chan, CC Tham, CY Cheung, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 9 | 2019 |
| Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification H Wang, L Luo, F Wang, R Tong, YW Chen, H Hu, L Lin, H Chen MICCAI 2023, 2023 | 7 | 2023 |
| ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans Z Chai, H Lin, L Luo, PA Heng, H Chen MICCAI 2022 (early accept), 2022 | 7 | 2022 |
| 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 RBME 2024, 2023 | 6 | 2023 |
| MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Y Bie, L Luo, H Chen AAAI 2024, 2024 | 3 | 2024 |
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
