Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Deployment of Image Analysis Algorithms Under Prevalence Shifts. - Patrick Godau; Piotr Kalinowski; Evangelia Christodoulou; Annika Reinke; Minu Tizabi; Luciana Ferrer; Paul F. Jäger; Lena Maier-Hein (MICCAI (3), 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Sources of performance variability in deep learning-based polyp detection. - Thuy Nuong Tran; Tim J. Adler; Amine Yamlahi; Evangelia Christodoulou; Patrick Godau; Annika Reinke; Minu Dietlinde Tizabi; Peter Sauer; Tillmann Persicke; Jörg Gerhard Albert; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2023)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? - Evangelia Christodoulou; Annika Reinke; Rola Houhou; Piotr Kalinowski; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; Nicola Rieke; Veronika Cheplygina; et al. (MICCAI (10), 2024)

Navigating prevalence shifts in image analysis algorithm deployment. - Patrick Godau; Piotr Kalinowski; Evangelia Christodoulou; Annika Reinke; Minu Tizabi; Luciana Ferrer; Paul Jäger 002; Lena Maier-Hein (Medical Image Anal., 2025)

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims. - Evangelia Christodoulou; Annika Reinke; Pascaline Andrè; Patrick Godau; Piotr Kalinowski; Rola Houhou; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; et al. (CoRR, 2025)

Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science. - Viet Tran Ba; Marco Hübner; Ahmad Bin Qasim; Maike Rees; Jan Sellner; Silvia Seidlitz; Evangelia Christodoulou; Berkin Özdemir; Alexander Studier-Fischer; Felix Nickel; Leonardo Ayala; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2025)

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study. - Leon D. Mayer; Tim Rädsch; Dominik Michael; Lucas Luttner; Amine Yamlahi; Evangelia Christodoulou; Patrick Godau; Marcel Knopp; Annika Reinke; Fiona R. Kolbinger; Lena Maier-Hein (CoRR, 2025)