| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 2610 | 2017 |
| From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018 | 440 | 2018 |
| Weakly supervised deep learning for whole slide lung cancer image analysis X Wang, H Chen, C Gan, H Lin, Q Dou, E Tsougenis, Q Huang, M Cai, ... IEEE transactions on cybernetics 50 (9), 3950-3962, 2019 | 246 | 2019 |
| Automated pulmonary nodule detection via 3d convnets with online sample filtering and hybrid-loss residual learning Q Dou, H Chen, Y Jin, H Lin, J Qin, PA Heng Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 158 | 2017 |
| 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 | 135 | 2019 |
| Fast scannet: Fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection H Lin, H Chen, S Graham, Q Dou, N Rajpoot, PA Heng IEEE transactions on medical imaging 38 (8), 1948-1958, 2019 | 92 | 2019 |
| Scannet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image H Lin, H Chen, Q Dou, L Wang, J Qin, PA Heng 2018 IEEE winter conference on applications of computer vision (WACV), 539-546, 2018 | 76 | 2018 |
| Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification X Wang, H Chen, H Xiang, H Lin, X Lin, PA Heng Medical image analysis 70, 102010, 2021 | 64 | 2021 |
| Weakly supervised learning for whole slide lung cancer image classification X Wang, H Chen, C Gan, H Lin, Q Dou, Q Huang, M Cai, PA Heng Medical imaging with deep learning, 2022 | 40 | 2022 |
| Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation Y Zhou, H Chen, H Lin, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 39 | 2020 |
| Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis H Lin, H Chen, X Wang, Q Wang, L Wang, PA Heng Medical Image Analysis 69, 101955, 2021 | 38 | 2021 |
| 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 Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 37 | 2021 |
| PFA-ScanNet: Pyramidal feature aggregation with synergistic learning for breast cancer metastasis analysis Z Zhao, H Lin, H Chen, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 23 | 2019 |
| 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 | 19 | 2019 |
| Development and evaluation of a deep learning algorithm for rib segmentation and fracture detection from multicenter chest CT images M Wu, Z Chai, G Qian, H Lin, Q Wang, L Wang, H Chen Radiology: Artificial Intelligence 3 (5), e200248, 2021 | 17 | 2021 |
| Oxnet: Deep omni-supervised thoracic disease detection from chest x-rays L Luo, H Chen, Y Zhou, H Lin, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
| Deep semi-supervised metric learning with dual alignment for cervical cancer cell detection Z Chai, L Luo, H Lin, H Chen, A Han, PA Heng 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 11 | 2022 |
| 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 | 7 | 2022 |
| ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans Z Chai, H Lin, L Luo, PA Heng, H Chen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| OXNet: omni-supervised thoracic disease detection from chest X-rays L Luo, H Chen, Y Zhou, H Lin, PA Pheng arXiv preprint arXiv:2104.03218, 2021 | 4 | 2021 |
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
