| A deep learning approach to universal skin disease classification H Liao University of Rochester Department of Computer Science, CSC, 2016 | 57 | 2016 |
| 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 | 36 | 2018 |
| 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 | 27 | 2019 |
| 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 | 25 | 2019 |
| 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 | 19 | 2016 |
| 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 | 18 | 2018 |
| Automatic radiology report generation based on multi-view image fusion and medical concept enrichment J Yuan, H Liao, R Luo, J Luo International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 14 | 2019 |
| 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 | 13 | 2020 |
| 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 | 12 | 2017 |
| Adversarial sparse-view CBCT artifact reduction H Liao, Z Huo, WJ Sehnert, SK Zhou, J Luo International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 11 | 2018 |
| Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^ 2) H Liao, WA Lin, J Zhang, J Zhang, J Luo, SK Zhou arXiv preprint arXiv:1903.03896, 2019 | 10* | 2019 |
| Face completion with semantic knowledge and collaborative adversarial learning H Liao, G Funka-Lea, Y Zheng, J Luo, SK Zhou Asian Conference on Computer Vision, 382-397, 2018 | 9 | 2018 |
| 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 | 8* | 2019 |
| More knowledge is better: Cross-modality volume completion and 3d+ 2d segmentation for intracardiac echocardiography contouring H Liao, Y Tang, G Funka-Lea, J Luo, SK Zhou International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 8 | 2018 |
| Method and System for 3D Reconstruction of X-ray CT Volume and Segmentation Mask from a Few X-ray Radiographs SK Zhou, SVA Nanduri, J Park, H Liao US Patent 10,709,394, 2020 | 6 | 2020 |
| 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, ... arXiv preprint arXiv:2004.08190, 2020 | 6 | 2020 |
| DuDoNet++: encoding mask projection to reduce CT metal artifacts Y Lyu, WA Lin, J Lu, SK Zhou | 4* | 2020 |
| 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 | 4 | 2020 |
| Three-Dimensional Segmentation from Two-Dimensional Intracardiac Echocardiography Imaging G Funka-Lea, H Liao, SK Zhou, Y Zheng, Y Tang US Patent App. 16/130,320, 2019 | 4 | 2019 |
| Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients S Weisenthal, H Liao, P Ng, M Zand arXiv preprint arXiv:1712.01880, 2017 | 4 | 2017 |
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
