activity
20182025
most citedEvaluation of distortion correction methods in diffusion MRI of the spinal cord

9 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

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…

cs.CV2022★ 2 cited

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?

Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge +8

Segmentation of Multiple Sclerosis (MS) lesions is a challenging problem. Several deep-learning-based methods have been proposed in recent years. However, most methods tend to be s…

eess.IV2021★ 9 cited

Evaluation of distortion correction methods in diffusion MRI of the spinal cord

Haykel Snoussi, Julien Cohen-Adad, Olivier Commowick +6

Background: Magnetic field inhomogeneities generate important geometric distortions in reconstructed echo-planar images. Various procedures were proposed for correcting these disto…

eess.IV2021★ 3 cited

Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis

Haykel Snoussi, Emmanuel Caruyer, Benoit Combes +5

In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiolo…

eess.IV2021★ 4 cited

Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord

Haykel Snoussi, Julien Cohen-Adad, Benoit Combes +5

Multiple sclerosis is an inflammatory disorder of the central nervous system. Quantitative MRI has huge potential to provide intrinsic and normative values of tissue properties use…

cs.CV2018

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Charley Gros, Benjamin De Leener, Atef Badji +49

The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of…