Fan Lam

Процитировано

	Все	Начиная с 2020 г.
Статистика цитирования	2923	1539
h-индекс	26	22
i10-индекс	43	30

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Zhi-Pei LiangFranklin W. Woeltge Professor, University of IllinoisПодтвержден адрес электронной почты в домене illinois.edu
Chao MaYale University School of MedicineПодтвержден адрес электронной почты в домене yale.edu
Bo ZhaoZhejiang UniversityПодтвержден адрес электронной почты в домене intl.zju.edu.cn
Bradley P. SuttonProfessor, Bioengineering and Beckman Institute, University of Illinois at UrbanaПодтвержден адрес электронной почты в домене illinois.edu
Curtis L JohnsonDept of Biomedical Engineering, University of DelawareПодтвержден адрес электронной почты в домене udel.edu
Justin P. HaldarProfessor, Electrical and Computer Engineering, University of Southern CaliforniaПодтвержден адрес электронной почты в домене usc.edu
T. Kevin HitchensResearch Associate Professor, University of PittsburghПодтвержден адрес электронной почты в домене pitt.edu
Chien HoCarnegie Mellon UniversityПодтвержден адрес электронной почты в домене andrew.cmu.edu
S. Derin BabacanGoogleПодтвержден адрес электронной почты в домене google.com

Fan Lam

University of Illinois at Urbana-Champaign

Подтвержден адрес электронной почты в домене illinois.edu - Главная страница

Biomedical imaging Multimodal Brain Mapping Computational Imaging


Название По числу цитат По году По названию	Процитировано Процитировано	Год
Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator X Qu, Y Hou, F Lam, D Guo, J Zhong, Z Chen Medical image analysis 18 (6), 843-856, 2014	374	2014
Accelerated MR parameter mapping with low‐rank and sparsity constraints B Zhao, W Lu, TK Hitchens, F Lam, C Ho, ZP Liang Magnetic resonance in medicine 74 (2), 489-498, 2015	247	2015
A subspace approach to high‐resolution spectroscopic imaging F Lam, ZP Liang Magnetic resonance in medicine 71 (4), 1349-1357, 2014	224	2014
High‐resolution ¹H‐MRSI of the brain using SPICE: Data acquisition and image reconstruction F Lam, C Ma, B Clifford, CL Johnson, ZP Liang Magnetic resonance in medicine 76 (4), 1059-1070, 2016	183	2016
Accelerated high-dimensional MR imaging with sparse sampling using low-rank tensors J He, Q Liu, AG Christodoulou, C Ma, F Lam, ZP Liang IEEE transactions on medical imaging 35 (9), 2119-2129, 2016	173	2016
Maximum likelihood reconstruction for magnetic resonance fingerprinting B Zhao, K Setsompop, H Ye, SF Cauley, LL Wald IEEE transactions on medical imaging 35 (8), 1812-1823, 2016	164	2016
Removal of nuisance signals from limited and sparse ¹H MRSI data using a union‐of‐subspaces model C Ma, F Lam, CL Johnson, ZP Liang Magnetic resonance in medicine 75 (2), 488-497, 2016	126	2016
Model-based MR parameter mapping with sparsity constraints: parameter estimation and performance bounds B Zhao, F Lam, ZP Liang IEEE transactions on medical imaging 33 (9), 1832-1844, 2014	99	2014
Denoising diffusion‐weighted magnitude MR images using rank and edge constraints F Lam, SD Babacan, JP Haldar, MW Weiner, N Schuff, ZP Liang Magnetic resonance in medicine 71 (3), 1272-1284, 2014	97	2014
High‐resolution ¹H‐MRSI of the brain using short‐TE SPICE C Ma, F Lam, Q Ning, CL Johnson, ZP Liang Magnetic resonance in medicine 77 (2), 467-479, 2017	78	2017
A subspace approach to spectral quantification for MR spectroscopic imaging Y Li, F Lam, B Clifford, ZP Liang IEEE Transactions on Biomedical Engineering 64 (10), 2486-2489, 2017	75	2017
Simultaneous QSM and metabolic imaging of the brain using SPICE X Peng, F Lam, Y Li, B Clifford, ZP Liang Magnetic resonance in medicine 79 (1), 13-21, 2018	70	2018
Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces F Lam, Y Li, R Guo, B Clifford, ZP Liang Magnetic resonance in medicine 83 (2), 377-390, 2020	68	2020
High‐resolution dynamic ³¹P‐MRSI using a low‐rank tensor model C Ma, B Clifford, Y Liu, Y Gu, F Lam, X Yu, ZP Liang Magnetic resonance in medicine 78 (2), 419-428, 2017	68	2017
Constrained magnetic resonance spectroscopic imaging by learning nonlinear low-dimensional models F Lam, Y Li, X Peng IEEE transactions on medical imaging 39 (3), 545-555, 2019	54	2019
More IMPATIENT: A gridding-accelerated Toeplitz-based strategy for non-Cartesian high-resolution 3D MRI on GPUs J Gai, N Obeid, JL Holtrop, XL Wu, F Lam, M Fu, JP Haldar, WH Wen-mei, ... Journal of parallel and distributed computing 73 (5), 686-697, 2013	48	2013
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and Field Inhomogeneity Y Liu, C Ma, BA Clifford, F Lam, CL Johnson, ZP Liang IEEE Transactions on Biomedical Engineering 63 (4), 841-849, 2015	47	2015
Early-life iron deficiency reduces brain iron content and alters brain tissue composition despite iron repletion: a neuroimaging assessment AT Mudd, JE Fil, LC Knight, F Lam, ZP Liang, RN Dilger Nutrients 10 (2), 135, 2018	44	2018
Impatient MRI: Illinois Massively Parallel Acceleration Toolkit for image reconstruction with enhanced throughput in MRI XL Wu, J Gai, F Lam, M Fu, JP Haldar, Y Zhuo, ZP Liang, WM Hwu, ... 2011 IEEE international symposium on biomedical imaging: from nano to macro …, 2011	39	2011
Proceedings-International Symposium on Biomedical Imaging XL Wu, J Gai, F Lam, M Fu, JP Haldar, Y Zhuo, ZP Liang, WM Hwu, ... 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2011	37*	2011

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