3 papers
q-bio.TO2026
Segmentation of spinal rootlets across MRI contrasts with RootletSeg
Katerina Krejci, Jiri Chmelik, Sandrine Bedard +5
Purpose: To develop a deep learning method for the automatic segmentation of spinal nerve rootlets on various MRI scans. Material and Methods: This retrospective study included MRI…
cs.CV2025
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Enamundram Naga Karthik, Sandrine Bédard, Jan Valošek +53
Morphometric measures derived from spinal cord segmentations can serve as diagnostic and prognostic biomarkers in neurological diseases and injuries affecting the spinal cord. Whil…
eess.IV2025
Rootlets-based registration to the spinal cord PAM50 template
Sandrine Bédard, Jan Valošek, Valeria Oliva +2
Spinal cord functional MRI studies require precise localization of spinal levels for reliable voxelwise group analyses. Traditional template-based registration of the spinal cord u…