| 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 | 1253 | 2017 |
| H-DenseUNet: hybrid densely connected UNet for liver and tumor segmentation from CT volumes X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng IEEE transactions on medical imaging 37 (12), 2663-2674, 2018 | 668 | 2018 |
| Automated melanoma recognition in dermoscopy images via very deep residual networks L Yu, H Chen, Q Dou, J Qin, PA Heng IEEE transactions on medical imaging 36 (4), 994-1004, 2016 | 520 | 2016 |
| Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks Qi Dou, Hao Chen, Lequan Yu , Lei Zhao, Jing Qin, Defeng Wang, Vincent Mok ... IEEE Transactions on Medical Imaging 35 (5), 1182-1195, 2016 | 483 | 2016 |
| Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C van den Bogaard, ... Medical image analysis 42, 1-13, 2017 | 437 | 2017 |
| VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images H Chen, Q Dou, L Yu, J Qin, PA Heng NeuroImage 170, 446-455, 2018 | 436 | 2018 |
| Multilevel contextual 3-D CNNs for false positive reduction in pulmonary nodule detection Q Dou, H Chen, L Yu, J Qin, PA Heng IEEE Transactions on Biomedical Engineering 64 (7), 1558-1567, 2016 | 369 | 2016 |
| 3D deeply supervised network for automated segmentation of volumetric medical images Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng Medical image analysis 41, 40-54, 2017 | 329 | 2017 |
| DCAN: Deep contour-aware networks for object instance segmentation from histology images H Chen, X Qi, L Yu, Q Dou, J Qin, PA Heng Medical image analysis 36, 135-146, 2017 | 270 | 2017 |
| 3d deeply supervised network for automatic liver segmentation from ct volumes Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 252 | 2016 |
| Mitosis detection in breast cancer histology images via deep cascaded networks H Chen, Q Dou, X Wang, J Qin, P Heng Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 194 | 2016 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 190 | 2019 |
| Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng Medical Image Computing and Computer Assisted Intervention--MICCAI 2015, 507-514, 2015 | 148* | 2015 |
| Integrating online and offline three-dimensional deep learning for automated polyp detection in colonoscopy videos L Yu, H Chen, Q Dou, J Qin, PA Heng IEEE journal of biomedical and health informatics 21 (1), 65-75, 2016 | 125 | 2016 |
| Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Q Dou, C Ouyang, C Chen, H Chen, PA Heng IJCAI 2018, 691-697, 2018 | 124 | 2018 |
| Domain generalization via model-agnostic learning of semantic features Q Dou, DC de Castro, K Kamnitsas, B Glocker Advances in Neural Information Processing Systems (NeurIPS), 6447-6458, 2019 | 123 | 2019 |
| Voxresnet: Deep voxelwise residual networks for volumetric brain segmentation H Chen, Q Dou, L Yu, PA Heng arXiv preprint arXiv:1608.05895, 2016 | 116 | 2016 |
| 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 International conference on medical image computing and computer-assisted …, 2017 | 107 | 2017 |
| Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets L Yu, JZ Cheng, Q Dou, X Yang, H Chen, J Qin, PA Heng International conference on medical image computing and computer-assisted …, 2017 | 105 | 2017 |
| SV-RCNet: workflow recognition from surgical videos using recurrent convolutional network Y Jin, Q Dou, H Chen, L Yu, J Qin, CW Fu, PA Heng IEEE transactions on medical imaging 37 (5), 1114-1126, 2017 | 99* | 2017 |
Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
