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Maximilian Schmidt received the B.Sc. and M.Sc. degrees in industrial mathematics from the University of Bremen, Bremen, Germany, and the Ph.D. degree with the Group of Prof. Peter Maass, Center for Industrial Mathematics, Bremen, in November 2022. He is one of the Co-founders of aisencia, where he investigates the application of deep learning methods for cancer detection in tissue samples. His main research focuses on linking mathematical models with data-driven approaches.
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论文共 19 篇作者统计合作学者相似作者
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European Journal of Cancer (2023): 161-170
Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDGno. 11 (2023): 1329-1338
Nicole Duschner,Daniel Otero Baguer,Maximilian Schmidt,Klaus Georg Griewank,Eva Hadaschik,Sonja Hetzer, Bettina Wiepjes,Jean Le'Clerc Arrastia,Philipp Jansen,Peter Maass,Jörg Schaller
Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG (2023)
Asian Conference on Machine Learningpp.422-437, (2023)
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INVERSE PROBLEMS AND IMAGINGno. 5 (2023): 908-924
PAMMno. 1 (2021)
PAMMno. 1 (2021)
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