| 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 | 521 | 2017 |
| 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 | 309 | 2016 |
| 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 | 263 | 2016 |
| 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 | 212 | 2018 |
| 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 | 212 | 2017 |
| 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 | 203 | 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 | 174 | 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 | 160 | 2016 |
| 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 | 158 | 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 | 152 | 2018 |
| Mitosis detection in breast cancer histology images via deep cascaded networks H Chen, Q Dou, X Wang, J Qin, PA Heng Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 123 | 2016 |
| 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 | 105* | 2015 |
| Voxresnet: Deep voxelwise residual networks for volumetric brain segmentation H Chen, Q Dou, L Yu, PA Heng arXiv preprint arXiv:1608.05895, 2016 | 85 | 2016 |
| 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 | 70 | 2017 |
| 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 | 60 | 2017 |
| H-denseunet: Hybrid densely connected unet for liver and liver tumor segmentation from ct volumes X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng arXiv preprint arXiv:1709.07330, 2017 | 58 | 2017 |
| 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 | 55 | 2016 |
| 3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images X Li, Q Dou, H Chen, CW Fu, X Qi, DL Belavý, G Armbrecht, D Felsenberg, ... Medical image analysis 45, 41-54, 2018 | 41* | 2018 |
| 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 | 39 | 2018 |
| 3D fully convolutional networks for intervertebral disc localization and segmentation H Chen, Q Dou, X Wang, J Qin, JCY Cheng, PA Heng International Conference on Medical Imaging and Augmented Reality, 375-382, 2016 | 38 | 2016 |
Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
![Jie-Zhi Cheng [鄭介誌]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=tSpNhZcAAAAJ&citpid=15)
