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Weijie Gan
Weijie Gan
PhD in CSE @ WashU
Verified email at wustl.edu - Homepage
Title
Cited by
Cited by
Year
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
1342020
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 7, 598-610, 2021
312021
Online deep equilibrium learning for regularization by denoising
J Liu, X Xu, W Gan, U Kamilov
Advances in Neural Information Processing Systems 35, 25363-25376, 2022
192022
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 56 (12), 809-819, 2021
162021
Learning cross-video neural representations for high-quality frame interpolation
W Shangguan, Y Sun, W Gan, US Kamilov
European Conference on Computer Vision, 511-528, 2022
142022
Learning‐based motion artifact removal networks for quantitative mapping
X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ...
Magnetic resonance in medicine 88 (1), 106-119, 2022
112022
Deformation-compensated learning for image reconstruction without ground truth
W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov
IEEE transactions on medical imaging 41 (9), 2371-2384, 2022
102022
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
92021
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
92020
Self-supervised deep equilibrium models with theoretical guarantees and applications to mri reconstruction
W Gan, C Ying, PE Boroojeni, T Wang, C Eldeniz, Y Hu, J Liu, Y Chen, ...
IEEE Transactions on Computational Imaging, 2023
5*2023
MR‐assisted PET respiratory motion correction using deep‐learning based short‐scan motion fields
S Chen, TJ Fraum, C Eldeniz, J Mhlanga, W Gan, T Vahle, ...
Magnetic resonance in medicine 88 (2), 676-690, 2022
52022
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
52021
Joint reconstruction and calibration using regularization by denoising with application to computed tomography
M Xie, J Liu, Y Sun, W Gan, B Wohlberg, US Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
52021
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
42021
SS-JIRCS: Self-supervised joint image reconstruction and coil sensitivity calibration in parallel MRI without ground truth
W Gan, Y Hu, C Eldeniz, J Liu, Y Chen, H An, US Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
RED-N2N: Image reconstruction for MRI using deep CNN priors trained without ground truth
J Liu, C Eldeniz, Y Sun, W Gan, S Chen, H An, US Kamilov
Proceedings of the 28th Annual Meeting of the ISMRM, 0993, 2020
42020
Phase2Phase: Reconstruction of free-breathing MRI into multiple respiratory phases using deep learning without a ground truth
C Eldeniz, W Gan, S Chen, J Liu, US Kamilov, H An
Proceedings of the 28th Annual Meeting of the ISMRM, 807, 2020
42020
SINCO: A Novel structural regularizer for image compression using implicit neural representations
H Gao*, W Gan*, Z Sun, US Kamilov
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation
Y Hu*, W Gan*, C Ying, T Wang, C Eldeniz, J Liu, Y Chen, H An, ...
arXiv preprint arXiv:2210.02584, 2022
32022
Block coordinate plug-and-play methods for blind inverse problems
W Gan, Y Hu, J Liu, H An, U Kamilov
Advances in Neural Information Processing Systems 36, 2024
22024
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