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Jiaming Liu(刘家明)
Jiaming Liu(刘家明)
Department of Electrical and Systems Engineering, Washington University in St. Louis
Verified email at wustl.edu - Homepage
Title
Cited by
Cited by
Year
Image restoration using total variation regularized deep image prior
J Liu, Y Sun, X Xu, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
892019
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
752020
Block coordinate regularization by denoising
Y Sun, J Liu, U Kamilov
Advances in Neural Information Processing Systems 32, 2019
542019
SIMBA: Scalable inversion in optical tomography using deep denoising priors
Z Wu, Y Sun, A Matlock, J Liu, L Tian, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1163-1175, 2020
372020
Provable convergence of plug-and-play priors with MMSE denoisers
X Xu, Y Sun, J Liu, B Wohlberg, US Kamilov
IEEE Signal Processing Letters 27, 1280-1284, 2020
332020
Coil: Coordinate-based internal learning for tomographic imaging
Y Sun, J Liu, M Xie, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 1400-1412, 2021
20*2021
A new recurrent plug-and-play prior based on the multiple self-similarity network
G Song, Y Sun, J Liu, Z Wang, US Kamilov
IEEE Signal Processing Letters 27, 451-455, 2020
172020
Online regularization by denoising with applications to phase retrieval
Z Wu, Y Sun, J Liu, U Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
172019
Boosting the performance of plug-and-play priors via denoiser scaling
X Xu, J Liu, Y Sun, B Wohlberg, US Kamilov
2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020
142020
Recovery analysis for plug-and-play priors using the restricted eigenvalue condition
J Liu, S Asif, B Wohlberg, U Kamilov
Advances in Neural Information Processing Systems 34, 5921-5933, 2021
122021
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
122021
Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images
M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ...
Magnetic resonance in medicine 84 (6), 2932-2942, 2020
102020
Async-RED: A provably convergent asynchronous block parallel stochastic method using deep denoising priors
Y Sun, J Liu, Y Sun, B Wohlberg, US Kamilov
International Conference on Learning Representations 2020, 2020
102020
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
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
4*2021
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, 2022
3*2022
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
32021
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
ISMRM, 2020
32020
Systems and methods of reconstructing magnetic resonance images using deep learning
H An, US Kamilov, W Gan, C Eldeniz, J Liu
US Patent 2021/0123999 A1, 2021
22021
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
22020
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