| Dudonet: Dual domain network for ct metal artifact reduction WA Lin, H Liao, C Peng, X Sun, J Zhang, J Luo, R Chellappa, SK Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 210 | 2019 |
| Automatic radiology report generation based on multi-view image fusion and medical concept enrichment J Yuan, H Liao, R Luo, J Luo Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 197 | 2019 |
| ADN: artifact disentanglement network for unsupervised metal artifact reduction H Liao, WA Lin, SK Zhou, J Luo IEEE transactions on medical imaging 39 (3), 634-643, 2019 | 179 | 2019 |
| A deep learning approach to universal skin disease classification H Liao University of Rochester Department of Computer Science, CSC, 2016 | 113 | 2016 |
| Structured landmark detection via topology-adapting deep graph learning W Li, Y Lu, K Zheng, H Liao, C Lin, J Luo, CT Cheng, J Xiao, L Lu, CF Kuo, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 97 | 2020 |
| Joint vertebrae identification and localization in spinal CT images by combining short-and long-range contextual information H Liao, A Mesfin, J Luo IEEE transactions on medical imaging 37 (5), 1266-1275, 2018 | 93 | 2018 |
| Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks H Liao, Y Li, J Luo 2016 23rd International Conference on Pattern Recognition (ICPR), 355-360, 2016 | 77 | 2016 |
| Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation H Liao, WA Lin, J Zhang, J Zhang, J Luo, SK Zhou arXiv e-prints, arXiv: 1903.03896, 2019 | 55 | 2019 |
| Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction H Liao, WA Lin, H Zhimin, L Vogelsang, WJ Sehnert, SK Zhou, L Jiebo arXiv preprint arXiv:1907.00294, 2019 | 52 | 2019 |
| Saint: spatially aware interpolation network for medical slice synthesis C Peng, WA Lin, H Liao, R Chellappa, SK Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 48 | 2020 |
| Encoding metal mask projection for metal artifact reduction in computed tomography Y Lyu, WA Lin, H Liao, J Lu, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 45 | 2020 |
| CariGAN: Caricature generation through weakly paired adversarial learning W Li, W Xiong, H Liao, J Huo, Y Gao, J Luo Neural Networks 132, 66-74, 2020 | 43 | 2020 |
| Do they all look the same? deciphering chinese, japanese and koreans by fine-grained deep learning Y Wang, Y Feng, H Liao, J Luo, X Xu 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 38 | 2018 |
| Adversarial sparse-view CBCT artifact reduction H Liao, Z Huo, WJ Sehnert, SK Zhou, J Luo Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 38 | 2018 |
| Learning bias-invariant representation by cross-sample mutual information minimization W Zhu, H Zheng, H Liao, W Li, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 36 | 2021 |
| Face completion with semantic knowledge and collaborative adversarial learning H Liao, G Funka-Lea, Y Zheng, J Luo, S Kevin Zhou Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 35 | 2019 |
| Temperature network for few-shot learning with distribution-aware large-margin metric W Zhu, W Li, H Liao, J Luo Pattern Recognition 112, 107797, 2021 | 34 | 2021 |
| Visual relationship detection using part-and-sum transformers with composite queries Q Dong, Z Tu, H Liao, Y Zhang, V Mahadevan, S Soatto Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 33 | 2021 |
| A Deep Multi-Task Learning Approach to Skin Lesion Classification H Liao, J Luo Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 32 | 2017 |
| Patch transformer for multi-tagging whole slide histopathology images W Li, VD Nguyen, H Liao, M Wilder, K Cheng, J Luo Medical image computing and computer assisted intervention–MICCAI 2019: 22nd …, 2019 | 31 | 2019 |
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of Rochester在 cs.rochester.edu 的电子邮件经过验证
