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]
@inproceedings{WolfPLLBGR24, title = {Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods}, author = {Daniel Wolf and Tristan Payer and Catharina Silvia Lisson and Christoph Gerhard Lisson and Meinrad Beer and Michael Götz and Timo Ropinski}, year = {2024}, doi = {10.1007/978-3-658-44037-4_46}, url = {https://doi.org/10.1007/978-3-658-44037-4_46}, researchr = {https://researchr.org/publication/WolfPLLBGR24}, cites = {0}, citedby = {0}, pages = {157}, booktitle = {Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024}, editor = {Andreas Maier 0001 and Thomas M. Deserno and Heinz Handels and Klaus H. Maier-Hein and Christoph Palm and Thomas Tolxdorff}, series = {Informatik Aktuell}, publisher = {Springer}, isbn = {978-3-658-44037-4}, }