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Reproducibility and Evolution of Diffusion Mri Measurements Within the Cervical Spinal Cord in Multiple Sclerosis., , , , , , , and . ISBI, page 1-5. IEEE, (2022)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)Geometric Evaluation of Distortion Correction Methods in Diffusion MRI of the Spinal Cord., , , , , , , and . ISBI, page 1696-1699. IEEE, (2019)A Study on Loss Functions and Decision Thresholds for the Segmentation of Multiple Sclerosis Lesions on Spinal Cord MRI., , , , , , and . ISBI, page 1-5. IEEE, (2023)Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset., , , , , , , , , and 5 other author(s). NeuroImage, (2021)Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?, , , , , , , , , and 1 other author(s). CoRR, (2022)Expert Variability and Deep Learning Performance in Spinal Cord Lesion Segmentation for Multiple Sclerosis Patients., , , , , , , and . CBMS, page 463-470. IEEE, (2023)