activity
20242026
most citedSegmentation of spinal rootlets across MRI contrasts with RootletSeg

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

q-bio.TO20261 cited

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.CV2026

One Sequence to Segment Them All: Efficient Data Augmentation for CT and MRI Cross-Domain 3D Spine Segmentation

Nathan Molinier, Hendrik Möller, Thomas Dagonneau +6

Deep learning-based medical image segmentation is increasingly used to support clinical diagnosis and develop new treatment strategies. However, model performance remains limited b…

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…

physics.med-ph2024

Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 -- Ex vivo imaging: data processing, comparisons with microscopy, and tractography

Kurt G Schilling, Amy FD Howard, Francesco Grussu +55

Preclinical diffusion MRI (dMRI) has proven value in methods development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. While…

cs.CV2024

SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury

Enamundram Naga Karthik, Jan Valošek, Lynn Farner +10

Spinal cord injury (SCI) is a devastating incidence leading to permanent paralysis and loss of sensory-motor functions potentially resulting in the formation of lesions within the…

eess.IV2024

Towards contrast-agnostic soft segmentation of the spinal cord

Sandrine Bédard, Enamundram Naga Karthik, Charidimos Tsagkas +5

Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurod…