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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)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 9 other author(s). NeuroImage, (2019)Optimal Dispatch of Volunteers to Out-of-hospital Cardiac Arrest Patients., , , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2019)Forecasting the Demand for Emergency Medical Services., , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (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 Volunteers for Emergency Response in Rural Areas - Network Collaboration Factors and IT support in the Case of Enhanced Neighbors., , and . ISCRAM, ISCRAM Association, (2017)Automatic Design of Aircraft Arrival Routes with Limited Turning Angle., , , and . ATMOS, volume 54 of OASIcs, page 9:1-9:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)Supporting Dispatch Decisions for the Fire and Rescue Services., , , and . ITSC, page 2562-2567. IEEE, (2015)Dynamic planning of fire and rescue services., and . ISCRAM, Simon Fraser University, Vancouver, Canada, (2012)