Search Results for author:
Found 3 papers, 1 papers with code
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation
Materials and Methods: We trained our deep learning method, H-synEx, with synthetic images derived from label maps built from ultra-high resolution ex vivo MRI scans, which enables finer-grained manual segmentation when compared with 1mm isometric in vivo images.
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
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.
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology
In this study, we present a probabilistic atlas of the thalamic nuclei built using ex vivo brain MRI scans and histological data, as well as the application of the atlas to in vivo MRI segmentation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
