Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. - Camila González; Karol Gotkowski; Andreas Bucher; Ricarda Fischbach; Isabel Kaltenborn; Anirban Mukhopadhyay 003 (MICCAI (7), 2021)

A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. - Gabriel Alexander Salg; Maria-Katharina Ganten; Andreas Michael Bucher; Hannes Götz Kenngott; Matthias A. Fink; Constantin Seibold; Ricarda Fischbach; Kai Schlamp; Carlos Alberto Velandia; Philipp Fervers; Felix Doellinger; Anna Luger; et al. (npj Digit. Medicine, 2021)

Quality Monitoring of Federated Covid-19 Lesion Segmentation. - Camila González; Christian L. Harder; Amin Ranem; Ricarda Fischbach; Isabel J. Kaltenborn; Armin Dadras 002; Andreas M. Bucher; Anirban Mukhopadhyay 003 (Bildverarbeitung für die Medizin, 2022)

Mission Profile Clustering Using a Universal Quantile Criterion. - Alexander Hirler; Ulrich Abelein; M. Büttner; Ricarda Fischbach; Göran Jerke; Andreas Krinke; S. Simon (IRPS, 2022)

i3Deep: Efficient 3D interactive segmentation with the nnU-Net. - Karol Gotkowski; Camila González; Isabel Kaltenborn; Ricarda Fischbach; Andreas Bucher; Anirban Mukhopadhyay 003 (MIDL, 2022)

Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. - Camila González; Karol Gotkowski; Moritz Fuchs; Andreas Bucher; Armin Dadras 002; Ricarda Fischbach; Isabel J. Kaltenborn; Anirban Mukhopadhyay 003 (Medical Image Anal., 2022)