Quantitative susceptibility mapping: report from the 2016 reconstruction challenge C Langkammer, F Schweser, K Shmueli, C Kames, X Li, L Guo, C Milovic, ... Magnetic resonance in medicine 79 (3), 1661-1673, 2018 | 232 | 2018 |
Colocalization of cerebral iron with Amyloid beta in Mild Cognitive Impairment JMG van Bergen, X Li, J Hua, SJ Schreiner, SC Steininger, FC Quevenco, ... Scientific Reports 6, 35514, 2016 | 190 | 2016 |
Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures IAL Lim, AV Faria, X Li, JTC Hsu, RD Airan, S Mori, PCM van Zijl Neuroimage 82, 449-469, 2013 | 178 | 2013 |
Imaging electrical impedance from acoustic measurements by means of magnetoacoustic tomography with magnetic induction (MAT-MI) X Li, Y Xu, B He IEEE Transactions on Biomedical Engineering 54 (2), 323-330, 2007 | 153 | 2007 |
Quantitative susceptibility mapping suggests altered brain iron in premanifest Huntington disease JMG van Bergen, J Hua, PG Unschuld, IAL Lim, CK Jones, RL Margolis, ... American Journal of Neuroradiology 37 (5), 789-796, 2016 | 146 | 2016 |
Magnetoacoustic tomography with magnetic induction for imaging electrical impedance of biological tissue X Li, Y Xu, B He Journal of applied physics 99 (6), 2006 | 131 | 2006 |
Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7T X Li, DS Vikram, IAL Lim, CK Jones, JAD Farrell, PCM van Zijl Neuroimage 62 (1), 314-330, 2012 | 112 | 2012 |
Magnetic susceptibility contrast variations in multiple sclerosis lesions X Li, DM Harrison, H Liu, CK Jones, J Oh, PA Calabresi, P van Zijl Journal of Magnetic Resonance Imaging 43 (2), 463-473, 2016 | 103 | 2016 |
Brain iron deficiency in idiopathic restless legs syndrome measured by quantitative magnetic susceptibility at 7 tesla X Li, RP Allen, CJ Earley, H Liu, TE Cruz, RAE Edden, PB Barker, ... Sleep Medicine 22, 75-82, 2016 | 94 | 2016 |
Magnetoacoustic tomographic imaging of electrical impedance with magnetic induction R Xia, X Li, B He Applied physics letters 91 (8), 2007 | 94 | 2007 |
Brain imaging and networks in restless legs syndrome G Rizzo, X Li, S Galantucci, M Filippi, YW Cho Sleep Medicine 31, 39-48, 2017 | 92 | 2017 |
Lesion heterogeneity on high-field susceptibility MRI is associated with multiple sclerosis severity DM Harrison, X Li, H Liu, CK Jones, B Caffo, PA Calabresi, P van Zijl American Journal of Neuroradiology 37 (8), 1447-1453, 2016 | 88 | 2016 |
Susceptibility tensor imaging (STI) of the brain W Li, C Liu, TQ Duong, P Zijl, X Li NMR in Biomedicine 30 (4), 2017 | 83 | 2017 |
Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility X Li, L Chen, K Kutten, C Ceritoglu, Y Li, N Kang, JT Hsu, Y Qiao, H Wei, ... NeuroImage 191, 337-349, 2019 | 78 | 2019 |
Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age JMG van Bergen, X Li, FC Quevenco, AF Gietl, V Treyer, R Meyer, A Buck, ... NeuroImage 174, 308-316, 2018 | 74 | 2018 |
Multi-excitation magnetoacoustic tomography with magnetic induction for bioimpedance imaging X Li, B He IEEE transactions on medical imaging 29 (10), 1759-1767, 2010 | 60 | 2010 |
Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain L Bao, X Li, C Cai, Z Chen, PCM van Zijl IEEE transactions on medical imaging 35 (9), 2040-2050, 2016 | 59* | 2016 |
Altered brain iron content and deposition rate in Huntington’s disease as indicated by quantitative susceptibility MRI L Chen, J Hua, CA Ross, S Cai, PCM van Zijl, X Li Journal of neuroscience research 97 (4), 467-479, 2019 | 57 | 2019 |
Two‐year observational study of deferiprone in superficial siderosis RA Kessler, X Li, K Schwartz, H Huang, MA Mealy, M Levy CNS neuroscience & therapeutics 24 (3), 187-192, 2018 | 49 | 2018 |
Memory performance-related dynamic brain connectivity indicates pathological burden and genetic risk for Alzheimer’s disease FC Quevenco, MG Preti, JMG Van Bergen, J Hua, M Wyss, X Li, ... Alzheimer's research & therapy 9 (1), 24, 2017 | 49 | 2017 |