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Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers, , , , , , , , , and 81 other author(s). Scientific Data, (August 2021)Spinal cord grey matter segmentation challenge., , , , , , , , , and 18 other author(s). NeuroImage, (2017)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)Generic acquisition protocol for quantitative MRI of the spinal cord, , , , , , , , , and 81 other author(s). Nature Protocols, 16 (10): 4611-4632 (August 2021)3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography., , , , and . ISBI, page 1346-1349. IEEE, (2016)Automatic spinal cord localization, robust to MRI contrasts using global curve optimization., , , , , , , , , and 2 other author(s). Medical Image Anal., (2018)PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space., , , , , and . NeuroImage, (2018)Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections., , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 330-337. Springer, (2017)OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization., , , , , , , , , and 2 other author(s). MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 712-719. Springer, (2017)Automatic 3D segmentation of spinal cord MRI using propagated deformable models., , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90343R. SPIE, (2014)