Jiaming Liu

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Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)Email yang diverifikasi di wustl.edu
Yu Sun (孙彧)Assistant Professor, ECE, Johns Hopkins UniversityEmail yang diverifikasi di caltech.edu
Weijie GanPhD in CSE @ WashUEmail yang diverifikasi di wustl.edu
Hongyu AnWashington University in St. LouisEmail yang diverifikasi di wustl.edu
Cihat EldenizAssistant Professor, Washington University in St. LouisEmail yang diverifikasi di mir.wustl.edu
Brendt WohlbergLos Alamos National LaboratoryEmail yang diverifikasi di lanl.gov
Xiaojian XuAI Scientist @ GE HealthCare; PhD in CS @ Washington University in St. LouisEmail yang diverifikasi di wustl.edu
Yuyang HuPhD student in ESE, Washington university in St. LouisEmail yang diverifikasi di wustl.edu
Mingyang Xie（谢铭阳）University of MarylandEmail yang diverifikasi di umd.edu
Sihao ChenGE HealthcareEmail yang diverifikasi di gehealthcare.com
Satya V.V.N. KothapalliInstructor at Washington University School of MedicineEmail yang diverifikasi di wustl.edu
Sayan KahaliTCS Research and Innovation Lab, KolkataEmail yang diverifikasi di ieee.org
Dmitriy YablonskiyWashington University in St. LouisEmail yang diverifikasi di wustl.edu
Shirin ShoushtariWashington University in St.LouisEmail yang diverifikasi di wustl.edu
Salman AsifAssociate Professor, ECE, University of California, RiversideEmail yang diverifikasi di ece.ucr.edu
Zihui WuPhD student, California Institute of TechnologyEmail yang diverifikasi di caltech.edu
Zihao ZouDepartment of Computer Science, University of North Carolina, Chapel HillEmail yang diverifikasi di cs.unc.edu
Chunwei YingSiemens HealthineersEmail yang diverifikasi di siemens-healthineers.com
Tongyao WangPhD Candidate in Washington University in St. LouisEmail yang diverifikasi di wustl.edu
Max ToropPhD Student, Northeastern UniversityEmail yang diverifikasi di northeastern.edu

Ikuti

Jiaming Liu

Postdoc@Stanford, PhD@WUSTL

Email yang diverifikasi di stanford.edu - Beranda

Optimization Computational Imaging Deep Learning


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	239	2019
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	182	2020
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	133*	2021
Block coordinate regularization by denoising Y Sun, J Liu, U Kamilov Advances in Neural Information Processing Systems 32, 2019	102	2019
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	86	2020
DOLCE: A model-based probabilistic diffusion framework for limited-angle ct reconstruction J Liu, R Anirudh, JJ Thiagarajan, S He, KA Mohan, US Kamilov, H Kim Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023	78	2023
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	65	2020
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	48	2019
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	43	2021
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 2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020	35	2020
Online Deep Equilibrium Learning for Regularization by Denoising J Liu, X Xu, W Gan, S Shoushtari, US Kamilov Advances in Neural Information Processing Systems 35, 2022	34	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	27	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	24	2020
Deep learning‐based motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) reconstruction Z Zhang, J Liu, D Yang, US Kamilov, GD Hugo Medical physics 50 (2), 808-820, 2023	22	2023
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	20	2020
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
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	18	2020
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	16	2022
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 9, 796-807, 2023	15*	2023

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