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Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?

, , , , , , , , , , , , , , , , and . Medical Image Analysis, 26 (1): 316-331 (2015)

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Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?, , , , , , , , , and 7 other author(s). Medical Image Analysis, 26 (1): 316-331 (2015)Ensemble average propagator-based detection of microstructural alterations after stroke., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (9): 1585-1597 (2016)Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks., , and . ICARIS, volume 7597 of Lecture Notes in Computer Science, page 271-285. Springer, (2012)Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?, , , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 464-471. Springer, (2018)C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation., , , and . IJCAI, page 106-112. IJCAI/AAAI, (2013)Ensemble average propagator estimation of axon diameter in diffusion MRI: Implications and limitations., , , and . ISBI, page 465-468. IEEE, (2016)Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition., , , , , and . ISBI, page 436-439. IEEE, (2015)Diffusion MRI Compartmental Model Analysis of DSI Data., , , , , and . ICHI, page 374. IEEE Computer Society, (2014)A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition., , , , , and . ISBI, page 1241-1244. IEEE, (2016)Shore-based biomarkers allow patient versus control classification in stroke., , , , , , and . ISBI, page 1097-1100. IEEE, (2016)