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Authors
An, Jeehye
Wendt, Leo
Wiese, Georg
Herold, Tom
Rzepka, Norman
Mueller, Susanne
Koch, Stefan Paul
Hoffmann, Christian J.
Harms, Christoph
Boehm-Sturm, Philipp
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Funding
Funding for this research was provided by:
Brandenburg Ministry of Economic Affairs, Labour and Energy (Brandenburgischer Innovationsgutschein) and the European Regional Development Fund (Strokevision, Strokevision, Strokevision, Strokevision, Strokevision, Strokevision)
Bundesministerium für Bildung und Forschung (01EW1811, 01EW1811, 01EW1811, 01EW1811)
Deutsche Forschungsgemeinschaft (EXC-2049-390688087 NeuroCure, EXC-2049-390688087 NeuroCure, EXC-2049-390688087 NeuroCure, HO5277/3-1, HA5741/5-1, EXC-2049-390688087 NeuroCure)
Charité 3R | Replace - Reduce – Refine (EPIC3R, EPIC3R, EPIC3R)
Fondation Leducq (17 CVD 03, 17 CVD 03)
Charité – Universitätsmedizin Berlin (Open Access Publication Fund)
Charité - Universitätsmedizin Berlin
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Article History
Received: 16 December 2022
Accepted: 31 July 2023
First Online: 16 August 2023
Competing interests
: The automated lesion segmentation algorithm is a product of scalable minds GmbH. TH, LW, GW and NR are employed by scalableminds GmbH. All other authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
