Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data

URN to cite this document:: urn:nbn:de:bvb:355-epub-547835
DOI to cite this document:: 10.5283/epub.54783

Sadegheih, Yousef ; Weninger, Leon ; Merhof, Dorit

License: Creative Commons Attribution 4.0
PDF - Published Version
(985kB)

Date of publication of this fulltext: 05 Oct 2023 11:52

Alternative links to fulltext:DOI Publisher

This publication is part of the DEAL contract with Springer.

Details

Preview

Export bibliographical data

Abstract

Diffusion magnetic resonance imaging (dMRI) is developing into one of the most important non-invasive tools for clinical brain research. This development is supported by a project funded by the German Research Foundation, in which four major obstacles related to dMRI data were addressed: (1) the lack of transferability of dMRI data between clinical sites, (2) the lack of training and label data, ...