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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)Impact of individual rater style on deep learning uncertainty in medical imaging segmentation., , and . CoRR, (2021)The current state-of-the-art of spinal cord imaging: Applications., , , , , , , , , and 13 other author(s). NeuroImage, (2014)Spine intervertebral disc labeling using a fully convolutional redundant counting model., , , and . CoRR, (2020)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)AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks., , , , , and . CoRR, (2017)Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling., , and . IEEE Trans. Med. Imaging, 34 (8): 1705-1718 (2015)Activation detection in diffuse optical imaging by means of the general linear model., , , , , , and . Medical Image Anal., 11 (6): 616-629 (2007)Reproducibility and Evolution of Diffusion Mri Measurements Within the Cervical Spinal Cord in Multiple Sclerosis., , , , , , , and . ISBI, page 1-5. IEEE, (2022)SoftSeg: Advantages of soft versus binary training for image segmentation., , and . CoRR, (2020)