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Statistical Methods in Medical Research|February 20, 2020
Experimental design and sample size considerations in longitudinal magnetic resonance imaging-based biomarker detection for multiple sclerosisMenghan Hu, Matthew K Schindler, Blake E Dewey, et al.Annals of Neurology|July 2, 2013
Seven-tesla phase imaging of acute multiple sclerosis lesions: a new window into the inflammatory processMartina Absinta, Pascal Sati, María I Gaitán, et al.Neuroimage. Clinical|August 21, 2020
Magnetic resonance imaging in multiple sclerosis animal models: A systematic review, meta-analysis, and white paperBenjamin V Ineichen, Pascal Sati, Tobias Granberg, et al.Journal of Magnetic Resonance (San Diego, Calif. : 1997)|April 30, 2018
Diagnosis of multiple sclerosis through the lens of ultra-high-field MRIPascal SatiNeuroimage. Clinical|August 24, 2016
PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident LesionsJordan D Dworkin, Elizabeth M Sweeney, Matthew K Schindler, et al.Biostatistics (Oxford, England)|April 23, 2020
Matrix decomposition for modeling lesion development processes in multiple sclerosisMenghan Hu, Ciprian Crainiceanu, Matthew K Schindler, et al.Multiple Sclerosis (Houndmills, Basingstoke, England)|January 16, 2016
Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosisIlena C George, Pascal Sati, Martina Absinta, et al.Brain : a Journal of Neurology|April 25, 2018
Spatiotemporal distribution of fibrinogen in marmoset and human inflammatory demyelinationNathanael J Lee, Seung-Kwon Ha, Pascal Sati, et al.Neuroimage|March 27, 2013
Micro-compartment specific T2* relaxation in the brainPascal Sati, Peter van Gelderen, Afonso C Silva, et al.Neuroimage|January 7, 2016
Statistical estimation of T1 relaxation times using conventional magnetic resonance imagingAmanda F Mejia, Elizabeth M Sweeney, Blake Dewey, et al.Pageof 35