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Scanner Invariant Representations for Diffusion MRI Harmonization., , , and . CoRR, (2019)Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact., , , , , , , , , and 16 other author(s). NeuroImage, (2022)Strong diffusion gradients allow the separation of intra- and extra-axonal gradient-echo signals in the human brain., , , , and . NeuroImage, (2020)Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain., , , , , , , and . NeuroImage, (2019)Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Sharpening Fibers in Diffusion Weighted MRI via Erosion., , and . Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, Springer, (2014)Spherical Harmonic Residual Network for Diffusion Signal Harmonization., , , , , and . CoRR, (2018)The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain., , , and . NeuroImage, (2020)Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms., , , , , , , , , and 9 other author(s). NeuroImage, (2019)Quantifying the brain's sheet structure with normalized convolution., , , , , , , and . Medical Image Anal., (2017)