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Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project.

, , , , , and . Frontiers Neuroinformatics, (2016)

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Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge., , , , , , , , , and 56 other author(s). NeuroImage, (August 2023)Learning Global Brain Microstructure Maps Using Trainable Sparse Encoders., , , , and . ICIP, page 2926-2930. IEEE, (2019)Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review., , , , , , , , and . NeuroImage, (2022)Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering., , , , and . ISBI, page 60-63. IEEE, (2021)Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography., , , , , , , and . NeuroImage, (2022)Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors., , , , , and . J. Imaging, 7 (11): 226 (2021)Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data., , , , , , and . ICA3PP, volume 10048 of Lecture Notes in Computer Science, page 630-643. Springer, (2016)Towards a diffusion image processing validation and accuracy prediction framework., , , , , , and . ICIP, page 2269-2272. IEEE, (2011)Evaluating reproducibility and subject-specificity of microstructure-informed connectivity., , , , , , , , , and 8 other author(s). NeuroImage, (2022)Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses., , , , and . NeuroImage, (2022)