Muwei Li, Ph.D.

Research Instructor

m.li@vanderbilt.edu
Faculty Appointments
Research Instructor in Radiology & Radiological Sciences
Education
Ph.D., Sichuan University, Chengdu, ChinaB.Eng., Sichuan University, Chengdu, China
Research Description
Muwei Li, Ph.D., earned his Ph.D. from the Sichuan University in Chengdu, China, with joint training at The Johns Hopkins University. He completed postdoctorate fellowships at Sichuan University and Vanderbilt University Medical Center before joining the Vanderbilt faculty in 2018 as Research Instructor in Radiology & Radiological Sciences. He research focuses on diffusion tensor image analysis, functional MRI analysis and pattern recognition of anatomical features.

Section: Vanderbilt University Institute of Imaging Science
Publications
Gao F, Wang G, Ma W, Ren F, Li M, Dong Y, Liu C, Liu B, Bai X, Zhao B, Edden RA. Decreased auditory GABA+ concentrations in presbycusis demonstrated by edited magnetic resonance spectroscopy. Neuroimage [print-electronic]. 2015 Feb 2/1/2015; 106: 311-6. PMID: 25463460, PMCID: PMC4285773, PII: S1053-8119(14)00940-9, DOI: 10.1016/j.neuroimage.2014.11.023, ISSN: 1095-9572.

Li M, Qin Y, Gao F, Zhu W, He X. Discriminative analysis of multivariate features from structural MRI and diffusion tensor images. Magn Reson Imaging [print-electronic]. 2014 Oct; 32(8): 1043-51. PMID: 24970026, PII: S0730-725X(14)00180-5, DOI: 10.1016/j.mri.2014.05.008, ISSN: 1873-5894.

Li M, Ratnanather JT, Miller MI, Mori S. Knowledge-based automated reconstruction of human brain white matter tracts using a path-finding approach with dynamic programming. Neuroimage [print-electronic]. 2014 Mar; 88: 271-81. PMID: 24135166, PMCID: PMC3944922, PII: S1053-8119(13)01023-9, DOI: 10.1016/j.neuroimage.2013.10.011, ISSN: 1095-9572.

Li M, Oishi K, He X, Qin Y, Gao F, Mori S, . An efficient approach for differentiating Alzheimer's disease from normal elderly based on multicenter MRI using gray-level invariant features. PLoS ONE. 2014; 9(8): e105563. PMID: 25140532, PMCID: PMC4139346, PII: PONE-D-14-10283, DOI: 10.1371/journal.pone.0105563, ISSN: 1932-6203.