Xiaojian Xu

Dikutip oleh

	Semua	Sejak 2020
Kutipan	621	610
indeks-h	9	8
indeks-i10	7	7

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Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Email yang diverifikasi di wustl.edu
Jiaming LiuPostdoc@Stanford, PhD@WUSTLEmail yang diverifikasi di stanford.edu
Yu Sun (孙彧)Assistant Professor, ECE, Johns Hopkins UniversityEmail yang diverifikasi di caltech.edu
Brendt WohlbergLos Alamos National LaboratoryEmail yang diverifikasi di lanl.gov
Weijie GanPhD in CSE @ WashUEmail yang diverifikasi di wustl.edu
Jeff FesslerProfessor of Electrical Engineering and Computer Science, Univ. of MichiganEmail yang diverifikasi di umich.edu
Jason HuPhD Student, University of MichiganEmail yang diverifikasi di umich.edu
Satya V.V.N. KothapalliInstructor at Washington University School of MedicineEmail yang diverifikasi di wustl.edu
Dmitriy YablonskiyWashington University in St. LouisEmail yang diverifikasi di wustl.edu
Sayan KahaliTCS Research and Innovation Lab, KolkataEmail yang diverifikasi di ieee.org
Zihui WuPhD student, California Institute of TechnologyEmail yang diverifikasi di caltech.edu
Liyue ShenUniversity of MichiganEmail yang diverifikasi di umich.edu
Zongyu LiKLA Corporation, University of MichiganEmail yang diverifikasi di umich.edu
marc klaskyLANLEmail yang diverifikasi di lanl.gov
Yuyang HuPhD student in ESE, Washington university in St. LouisEmail yang diverifikasi di wustl.edu
Yuni K DewarajaProfessor, University of MichiganEmail yang diverifikasi di umich.edu
Bowen SongResearcherEmail yang diverifikasi di umich.edu
Ivan SelesnickElectrical and Computer Engineering, Tandon School of Engineering, New York UniversityEmail yang diverifikasi di nyu.edu
Abdullah Al-ShabiliPurdue UniversityEmail yang diverifikasi di purdue.edu
Alessandro BenfenatiEnvironmental Science and Policy DepartmentEmail yang diverifikasi di unimi.it

Ikuti

Xiaojian Xu

AI Scientist @ GE HealthCare; PhD in CS @ Washington University in St. Louis

Email yang diverifikasi di wustl.edu - Beranda

Computational Imaging Optimization Medical Imaging Deep Learning Signal Processing


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	243	2019
Scalable Plug-and-Play ADMM with Convergence Guarantees Y Sun, Z Wu, X Xu*, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging, 2020	101	2020
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	88	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 7, 598-610, 2021	42	2021
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	35	2020
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	34	2022
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	18	2022
Monotonically convergent regularization by denoising Y Hu, J Liu, X Xu, US Kamilov 2022 IEEE International Conference on Image Processing (ICIP), 426-430, 2022	9	2022
Signprox: One-bit proximal algorithm for nonconvex stochastic optimization X Xu, US Kamilov ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	9	2019
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	7	2021
Learning image priors through patch-based diffusion models for solving inverse problems J Hu, B Song, X Xu, L Shen, J Fessler Advances in Neural Information Processing Systems 37, 1625-1660, 2024	6	2024
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	6	2022
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	5	2022
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	3	2024
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	3	2024
Constrained Regularization by Denoising with Automatic Parameter Selection P Cascarano, A Benfenati, US Kamilov, X Xu IEEE Signal Processing Letters 31, 556-560, 2024	3	2024
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	3	2023
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	3	2023
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	2	2023
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	1	2024

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