Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods

Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski. Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. In Andreas Maier 0001, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024. Informatik Aktuell, pages 157, Springer, 2024. [doi]

Authors

Daniel Wolf

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Tristan Payer

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Catharina Silvia Lisson

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Christoph Gerhard Lisson

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Meinrad Beer

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Michael Götz

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Timo Ropinski

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