| 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 | 3288 | 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 | 630 | 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 | 383 | 2019 |
| 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 | 175 | 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 | 175 | 2017 |
| 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 | 120 | 2019 |
| 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 | 98 | 2021 |
| 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 | 87 | 2018 |
| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer B Ehteshami Bejnordi, M Veta, P Johannes van Diest, B van Ginneken, ... Jama 318 (22), 2199-2210, 2017 | 82 | 2017 |
| 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 | 65 | 2021 |
| 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 | 59 | 2021 |
| 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 | 53 | 2020 |
| 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, 2018 | 48 | 2018 |
| 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 | 38 | 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 | 30 | 2019 |
| 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 | 28 | 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 | 23 | 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 |
| 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 | 14 | 2022 |
| Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis H Xiang, Y Xiao, F Li, C Li, L Liu, T Deng, C Yan, F Zhou, X Wang, J Ou, ... Nature Communications 15 (1), 2681, 2024 | 11 | 2024 |
Hao ChenAssistant Professor, The Hong Kong University of Science and TechnologyPotvrđena adresa e-pošte na cse.ust.hk
