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20122023
most citedTractography and machine learning: Current state and open challenges

88 citations · 296 across the 16 of their papers we have counts for

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Showing physics.med-phShow all

4 papers · 1 filter

physics.med-ph2022★ 10 cited

Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 -- Ex vivo imaging: added value and acquisition

Kurt G Schilling, Francesco Grussu, Andrada Ianus +54

The value of preclinical diffusion MRI (dMRI) is substantial. While dMRI enables in vivo non-invasive characterization of tissue, ex vivo dMRI is increasingly used to probe tissue…

physics.med-ph2022★ 10 cited

Considerations and Recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging

Ileana O Jelescu, Francesco Grussu, Andrada Ianus +54

Small-animal diffusion MRI (dMRI) has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy.…

physics.med-ph2020★ 13 cited

Magic DIAMOND: Multi-Fascicle Diffusion Compartment Imaging with Tensor Distribution Modeling and Tensor-Valued Diffusion Encoding

A. Reymbaut, A. Valcourt Caron, G. Gilbert +5

Diffusion tensor imaging provides increased sensitivity to microstructural tissue changes compared to conventional anatomical imaging but also presents limited specificity. To tack…

physics.med-ph2019★ 3 cited

Advanced encoding methods in diffusion MRI

Alexis Reymbaut, Maxime Descoteaux

Discovering a new field is not usually an easy process, especially when you choose magnetic resonance imaging (MRI). MRI is one of the few non-invasive medical procedures, if not t…