no code implementations • 5 May 2023 • Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias
Some tools have attempted to incorporate information from diffusion MRI in the segmentation to refine these boundaries, but do not generalise well across diffusion MRI acquisitions.
1 code implementation • 6 Aug 2022 • Vaanathi Sundaresan, Julia F. Lehman, Sean Fitzgibbon, Saad Jbabdi, Suzanne N. Haber, Anastasia Yendiki
Anatomic tracing data provides detailed information on brain circuitry essential for addressing some of the common errors in diffusion MRI tractography.
no code implementations • 9 Sep 2020 • Christian Ewert, David Kügler, Anastasia Yendiki, Martin Reuter
Here, we introduce fast, deep learning-based segmentation of 170 anatomical regions directly on diffusion-weighted MR images, removing the dependency of conventional segmentation methods on T 1-weighted images and slow pre-processing pipelines.
no code implementations • 11 Mar 2019 • Juan Eugenio Iglesias, Koen van Leemput, Polina Golland, Anastasia Yendiki
Segmentation of structural and diffusion MRI (sMRI/dMRI) is usually performed independently in neuroimaging pipelines.