| CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE) C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ... IEEE Transactions on Medical Imaging 39 (1), 188-203, 2020 | 515 | 2020 |
| 3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network H Shan, Y Zhang, Q Yang, U Kruger, MK Kalra, L Sun, W Cong, G Wang IEEE Transactions on Medical Imaging 37 (6), 1522-1534, 2018 | 490 | 2018 |
| Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction H Shan, A Padole, F Homayounieh, U Kruger, RD Khera, C Nitiwarangkul, ... Nature Machine Intelligence 1 (6), 269-276, 2019 | 399 | 2019 |
| Multi-task GANs for view-specific feature learning in gait recognition Y He, J Zhang, H Shan, L Wang IEEE Transactions on Information Forensics and Security 14 (1), 102-113, 2019 | 264 | 2019 |
| Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju, Z Zhang, Z Zhao, Y Zhang, ... IEEE Access 6, 41839-41855, 2018 | 253 | 2018 |
| SPICE: Semantic pseudo-labeling for image clustering C Niu, H Shan, G Wang IEEE Transactions on Image Processing 31, 7264-7278, 2022 | 179 | 2022 |
| Multi-Contrast Super-Resolution MRI Through a Progressive Network Q Lyu, H Shan, C Steber, C Helis, C Whitlow, M Chan, G Wang IEEE Transactions on Medical Imaging 39 (9), 2738-2749, 2020 | 174 | 2020 |
| DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising Z Huang, J Zhang, Y Zhang, H Shan IEEE Transactions on Instrumentation and Measurement 71, 4500512, 2022 | 158 | 2022 |
| Quadratic autoencoder (Q-AE) for low-dose CT denoising F Fan, H Shan, MK Kalra, R Singh, G Qian, M Getzin, Y Teng, J Hahn, ... IEEE transactions on medical imaging 39 (6), 2035-2050, 2019 | 134 | 2019 |
| MRI super-resolution with ensemble learning and complementary priors Q Lyu, H Shan, G Wang IEEE Transactions on Computational Imaging 6, 615-624, 2020 | 123 | 2020 |
| Content-noise complementary learning for medical image denoising M Geng, X Meng, J Yu, L Zhu, L Jin, Z Jiang, B Qiu, H Li, H Kong, J Yuan, ... IEEE Transactions on Medical Imaging 41 (2), 407-419, 2021 | 116 | 2021 |
| When age-invariant face recognition meets face age synthesis: A multi-task learning framework Z Huang, J Zhang, H Shan IEEE Conference on Computer Vision and Pattern Recognition, 7282-7291, 2021 | 112 | 2021 |
| Super-resolution MRI and CT through GAN-CIRCLE Q Lyu, C You, H Shan, Y Zhang, G Wang Developments in X-Ray Tomography XII 11113, 111130X, 2019 | 110* | 2019 |
| Learning Representation for Clustering via Prototype Scattering and Positive Sampling Z Huang, J Chen, J Zhang, H Shan IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7509-7524, 2023 | 97 | 2023 |
| Deep learning methods for CT image-domain metal artifact reduction L Gjesteby, Q Yang, Y Xi, H Shan, B Claus, Y Jin, B De Man, G Wang Developments in X-ray Tomography XI 10391, 147-152, 2017 | 96 | 2017 |
| Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping Y Lei, Y Tian, H Shan, J Zhang, G Wang, MK Kalra Medical Image Analysis 60, 101628, 2020 | 84 | 2020 |
| Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition J Ye, XC Wen, Y Wei, Y Xu, K Liu, H Shan IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023 | 81 | 2023 |
| Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography H Chao, H Shan, F Homayounieh, R Singh, RD Khera, H Guo, T Su, ... Nature Communications 12 (1), 1-10, 2021 | 76 | 2021 |
| PFA-GAN: Progressive Face Aging with Generative Adversarial Network Z Huang, S Chen, J Zhang, H Shan IEEE Transactions on Information Forensics and Security 16, 2031-2045, 2021 | 75 | 2021 |
| A Method of Rapid Quantification of Patient‐Specific Organ Doses for CT Using Deep‐Learning based Multi‐Organ Segmentation and GPU‐accelerated Monte Carlo Dose Computing Z Peng, X Fang, P Yan, H Shan, T Liu, X Pei, G Wang, B Liu, MK Kalra, ... Medical Physics 47 (6), 2526-2536, 2020 | 74 | 2020 |
Ge WangRensselaer Polytechnic InstituteПодтвержден адрес электронной почты в домене rpi.edu
