Hongming Shan
Hongming Shan
Other names单洪明
Fudan University; Rensselaer Polytechnic institute
Verified email at - Homepage
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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
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
On interpretability of artificial neural networks: A survey
FL Fan, J Xiong, M Li, G Wang
IEEE Transactions on Radiation and Plasma Medical Sciences 5 (6), 741-760, 2021
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
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
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
SPICE: Semantic pseudo-labeling for image clustering
C Niu, H Shan, G Wang
IEEE Transactions on Image Processing 31, 7264-7278, 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
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, 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
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
MRI super-resolution with ensemble learning and complementary priors
Q Lyu, H Shan, G Wang
IEEE Transactions on Computational Imaging 6, 615-624, 2020
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
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
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
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
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
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
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
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
W Wu, D Hu, W Cong, H Shan, S Wang, C Niu, P Yan, H Yu, ...
Patterns, 100474, 2022
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