68 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Michael Götz2 profiles5 · h 4
- Meinrad Beer2 profiles3 · h 18
- Alexander Muckenhuber2 · h 2
- Catharina Silvia Lisson2
- Christoph Gerhard Lisson2
- Constantin Ulrich2 · h 12
- J. Kleesiek2 · h 11
- Klaus H. Maier-Hein2 · h 32
- L. Gallée2 · h 3
- Maximilian Fischer2 · h 5
- Peter J. Schüffler2 profiles2 · h 25
- R. Braren2 · h 37
- Universität UlmDE9 papers
- German Cancer Research CenterDE4 papers
- Deutsches Konsortium für Translationale KrebsforschungDE3 papers
- Heidelberg UniversityDE3 papers
- Technical University of MunichDE3 papers
- Forschungszentrum JülichDE2 papers
- National Center for Tumor DiseasesDE2 papers
- RWTH Aachen UniversityDE2 papers
- Technische Hochschule UlmDE2 papers
- University Hospital HeidelbergDE2 papers
- University Medical Center FreiburgDE2 papers
- Agency for Science, Technology and ResearchSG1 paper
3 papers · 1 filter
On Leakage in Machine Learning Pipelines
Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart +9
Machine learning (ML) provides powerful tools for predictive modeling. ML's popularity stems from the promise of sample-level prediction with applications across a variety of field…
Interpretable Medical Image Classification using Prototype Learning and Privileged Information
Luisa Gallee, Meinrad Beer, Michael Goetz
Interpretability is often an essential requirement in medical imaging. Advanced deep learning methods are required to address this need for explainability and high performance. In…
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson +4
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. Training such deep learning mod…