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MRI investigation of the sensorimotor cortex and the corticospinal tract after acute spinal cord injury: a prospective longitudinal study, , , , , , , , and . The Lancet Neurology, 12 (9): 873--881 (September 2013)Multiparameter mapping of relaxation (R1, R2), proton density and magnetization transfer saturation at 3 T: A multicenter dual-vendor reproducibility and repeatability study, , , , , , and . Human Brain Mapping, 41 (15): 4232--4247 (July 2020)Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds., , , and . Sensors, 21 (21): 7381 (2021)An fMRI study of the role of suprapontine brain structures in the voluntary voiding control induced by pelvic floor contraction., , , , , and . NeuroImage, 24 (1): 174-180 (2005)MRI in traumatic spinal cord injury: from clinical assessment to neuroimaging biomarkers, , , , , , and . The Lancet Neurology, 18 (12): 1123--1135 (December 2019)Reliability of spinal cord measures based on synthetic T1-weighted MRI derived from multiparametric mapping (MPM)., , , , , , and . NeuroImage, (May 2023)The current state-of-the-art of spinal cord imaging: Applications., , , , , , , , , and 13 other author(s). NeuroImage, (2014)Reliability of multi-parameter mapping (MPM) in the cervical cord: A multi-center multi-vendor quantitative MRI study., , , , , , and . NeuroImage, (2022)Tracking sensory system atrophy and outcome prediction in spinal cord injury, , , , , , and . Annals of Neurology, 78 (5): 751--761 (September 2015)Predicting upper limb compensation during prehension tasks in tetraplegic spinal cord injured patients using a single wearable sensor., , , , , , , , and . ICORR, page 1000-1006. IEEE, (2019)