Weijie Gan
Weijie Gan
PhD student in Computer Science, Washington University in St. Louis
Correu electrònic verificat a wustl.edu
Citada per
Citada per
Rare: Image reconstruction using deep priors learned without groundtruth
J Liu, Y Sun, C Eldeniz, W Gan, H An, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1088-1099, 2020
Sgd-net: Efficient model-based deep learning with theoretical guarantees
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging, 2021
Deep Image Reconstruction using Unregistered Measurements without Groundtruth
W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1531-1534, 2021
MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth
W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov
arXiv preprint arXiv:2107.05533, 2021
Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging
C Eldeniz, W Gan, S Chen, TJ Fraum, DR Ludwig, Y Yan, J Liu, T Vahle, ...
Investigative Radiology, 2021
Stochastic Deep Unfolding for Imaging Inverse Problems
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Systems and methods of reconstructing magnetic resonance images using deep learning
H An, U Kamilov, W Gan, C Eldeniz, LIU Jiaming
US Patent App. 17/079,177, 2021
Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth
W Gan, C Eldeniz, J Liu, S Chen, H An, US Kamilov
2020 54th Asilomar Conference on Signals, Systems, and Computers, 475-479, 2020
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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