| 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 | 2966 | 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 | 2102 | 2018 |
| Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE transactions on medical imaging 37 (11), 2514-2525, 2018 | 1515 | 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 | 1102 | 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 | 1096 | 2017 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1010 | 2023 |
| 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 | 787 | 2018 |
| Gland segmentation in colon histology images: The glas challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical image analysis 35, 489-502, 2017 | 783 | 2017 |
| Automatic detection of cerebral microbleeds from MR images via 3D convolutional neural networks Q Dou, H Chen, L Yu, L Zhao, J Qin, D Wang, VCT Mok, L Shi, PA Heng IEEE transactions on medical imaging 35 (5), 1182-1195, 2016 | 765 | 2016 |
| Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation L Yu, S Wang, X Li, CW Fu, PA Heng Medical image computing and computer assisted intervention–MICCAI 2019: 22nd …, 2019 | 759 | 2019 |
| DCAN: deep contour-aware networks for accurate gland segmentation H Chen, X Qi, L Yu, PA Heng Proceedings of the IEEE conference on Computer Vision and Pattern …, 2016 | 729 | 2016 |
| 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 | 648 | 2016 |
| Pu-net: Point cloud upsampling network L Yu, X Li, CW Fu, D Cohen-Or, PA Heng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 621 | 2018 |
| 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 | 611 | 2017 |
| A new method of feature fusion and its application in image recognition QS Sun, SG Zeng, Y Liu, PA Heng, DS Xia Pattern Recognition 38 (12), 2437-2448, 2005 | 606 | 2005 |
| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 564 | 2020 |
| R3net: Recurrent residual refinement network for saliency detection Z Deng, X Hu, L Zhu, X Xu, J Qin, G Han, PA Heng Proceedings of the 27th international joint conference on artificial …, 2018 | 508 | 2018 |
| 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 | 501 | 2017 |
| Transformation-consistent self-ensembling model for semisupervised medical image segmentation X Li, L Yu, H Chen, CW Fu, L Xing, PA Heng IEEE transactions on neural networks and learning systems 32 (2), 523-534, 2020 | 429 | 2020 |
| 3D deeply supervised network for automatic liver segmentation from CT volumes Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 427 | 2016 |
Qi DOUAssistant Professor, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
