Követés
Xiaojian Xu (许晓健)
Xiaojian Xu (许晓健)
AI Research Scientist @ GE Healthcare || PhD in CS @ Washington University in St. Louis
E-mail megerősítve itt: wustl.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2372019
Scalable Plug-and-Play ADMM with Convergence Guarantees
Y Sun*, Z Wu*, X Xu*, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging, 2020
1012020
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
882020
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
402021
Boosting the performance of plug-and-play priors via denoiser scaling
X Xu, J Liu, Y Sun, B Wohlberg, US Kamilov
54th Annual Asilomar Conference on Signals, Systems, and Computers, 2020
352020
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
332022
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
162022
Signprox: One-bit proximal algorithm for nonconvex stochastic optimization
X Xu, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
112019
Monotonically convergent regularization by denoising
Y Hu, J Liu, X Xu, US Kamilov
2022 IEEE International Conference on Image Processing (ICIP), 426-430, 2022
92022
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
72021
CoRRECT: A deep unfolding framework for motion-corrected quantitative R2* mapping
X Xu, W Gan, SVVN Kothapalli, DA Yablonskiy, US Kamilov
arXiv preprint arXiv:2210.06330, 2022
62022
Bregman Plug-and-Play priors
AH Al-Shabili*, X Xu*, I Selesnick, US Kamilov
2022 IEEE International Conference on Image Processing (ICIP), 241-245, 2022
52022
Provable preconditioned plug-and-play approach for compressed sensing MRI reconstruction
T Hong, X Xu, J Hu, JA Fessler
IEEE Transactions on Computational Imaging, 2024
42024
Reconstructing Richtmyer–Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks
DA Serino, ML Klasky, BT Nadiga, X Xu, T Wilcox
Optics Express 32 (24), 43366-43386, 2024
32024
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
J Hu, B Song, X Xu, L Shen, JA Fessler
arXiv preprint arXiv:2406.02462, 2024
32024
Constrained Regularization by Denoising with Automatic Parameter Selection
P Cascarano, A Benfenati, US Kamilov, X Xu
IEEE Signal Processing Letters, 2024
32024
Reducing SPECT acquisition time by predicting missing projections with single-scan self-supervised coordinate-based learning
Z Li, X Xu, J Hu, J Fessler, Y Dewaraja
Journal of Nuclear Medicine 64 (supplement 1), P1014-P1014, 2023
32023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Z Li, J Hu, X Xu, L Shen, JA Fessler
arXiv preprint arXiv:2305.07712, 2023
32023
Deep learning‐based Accelerated and Noise‐Suppressed Estimation (DANSE) of quantitative Gradient‐Recalled Echo (qGRE) magnetic resonance imaging metrics associated with human …
S Kahali, SVVN Kothapalli, X Xu, US Kamilov, DA Yablonskiy
NMR in Biomedicine 36 (5), e4883, 2023
22023
Segment as You Wish--Free-Form Language-Based Segmentation for Medical Images
L Da, R Wang, X Xu, P Bhatia, T Kass-Hout, H Wei, C Xiao
arXiv preprint arXiv:2410.12831, 2024
2024
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