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Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?, , , , , , , , , and 1 other author(s). CoRR, (2022)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study., , , , , , , , , and 15 other author(s). CoRR, (2019)The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study., , , , , , , , , and 9 other author(s). Medical Image Anal., (2020)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 9 other author(s). NeuroImage, (2019)Early axonal damage in normal appearing white matter in multiple sclerosis: Novel insights from multi-shell diffusion MRI., , , , , , , and . EMBC, page 3024-3027. IEEE, (2017)Using optimization to provide decision support for strategic emergency medical service planning - Three case studies., , , , and . Int. J. Medical Informatics, (2020)Electric aircraft charging network design for regional routes: A novel mathematical formulation and kernel search heuristic., , , and . Eur. J. Oper. Res., 309 (3): 1300-1315 (2023)Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients., , and . Comput. Ind. Eng., (2021)Central Authority-Controlled Air Traffic Flow Management: An Optimization Approach., , , , , , , and . Transp. Sci., 56 (2): 299-321 (2022)