Learning Features via Transformer Networks for Cardiomyocyte Profiling

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SEEK ID: https://publications.h-its.org/publications/1481

DOI: 10.1007/978-3-658-36932-3_37

Research Groups: Astroinformatics

Publication type: InProceedings

Journal: Bildverarbeitung für die Medizin 2022

Book Title: Bildverarbeitung für die Medizin 2022

Editors: Klaus Maier-Hein and Thomas M. Deserno and Heinz Handels and Andreas Maier and Christoph Palm and Thomas Tolxdorff

Publisher: Springer Fachmedien Wiesbaden

Citation: Bildverarbeitung für die Medizin 2022,pp.167-172,Springer Fachmedien Wiesbaden

Date Published: 2022

Registered Mode: by DOI

Authors: Jan Plier, Matthias Zisler, Jennifer Furkel, Maximilian Knoll, Alexander Marx, Alena Fischer, Kai Polsterer, Mathias H. Konstandin, Stefania Petra

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Nikos Gianniotis

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Plier, J., Zisler, M., Furkel, J., Knoll, M., Marx, A., Fischer, A., Polsterer, K., Konstandin, M. H., & Petra, S. (2022). Learning Features via Transformer Networks for Cardiomyocyte Profiling. In Informatik aktuell (pp. 167–172). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-36932-3_37

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Created: 24th May 2022 at 05:26

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Learning Features via Transformer Networks for Cardiomyocyte Profiling

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