| 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 |
| 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 | 937* | 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 |
| 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 |
| 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 |
| 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 | 537 | 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 |
| Volumetric ConvNets with mixed residual connections for automated prostate segmentation from 3D MR images L Yu, X Yang, H Chen, J Qin, PA Heng Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 415 | 2017 |
| Standard plane localization in fetal ultrasound via domain transferred deep neural networks H Chen, D Ni, J Qin, S Li, X Yang, T Wang, PA Heng IEEE journal of biomedical and health informatics 19 (5), 1627-1636, 2015 | 397 | 2015 |
| Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge J Bernal, N Tajkbaksh, FJ Sanchez, BJ Matuszewski, H Chen, L Yu, ... IEEE transactions on medical imaging 36 (6), 1231-1249, 2017 | 393 | 2017 |
| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 389 | 2019 |
| Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation C Chen, Q Dou, H Chen, J Qin, PA Heng Proceedings of the AAAI conference on artificial intelligence 33 (01), 865-872, 2019 | 345 | 2019 |
Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
