Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis. - Maximilian Dietrich; Silvia Seidlitz; Nicholas Schreck; Manuel Wiesenfarth; Patrick Godau; Minu Tizabi; Jan Sellner; Sebastian Marx; Samuel Knödler; Michael M. Allers; Leonardo Ayala; Karsten Schmidt 007; et al. (CoRR, 2021)

Labeling instructions matter in biomedical image analysis. - Tim Rädsch; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Nicholas Schreck; A. Emre Kavur; Bünyamin Pekdemir; Tobias Roß; Annette Kopp-Schneider; Lena Maier-Hein (CoRR, 2022)

Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery. - Leonardo Ayala; Tim Adler; Silvia Seidlitz; Sebastian J. Wirkert; Alexander Seitel; Jan Sellner; Anant Vemuri; Manuel Wiesenfarth; Nicholas Schreck; Sebastian Pirmann; Annette Kopp-Schneider; Lena Maier-Hein (Zenodo, 2023)

Labelling instructions matter in biomedical image analysis. - Tim Rädsch; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Nicholas Schreck; A. Emre Kavur; Bünyamin Pekdemir; Tobias Roß; Annette Kopp-Schneider; Lena Maier-Hein (Nat. Mac. Intell., 2023)

Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis. - Jan Sellner; Alexander Studier-Fischer; Ahmad Bin Qasim; Silvia Seidlitz; Nicholas Schreck; Minu Tizabi; Manuel Wiesenfarth; Annette Kopp-Schneider; Samuel Knödler; Caelan Max Haney; Gabriel Salg; Berkin Özdemir; et al. (CoRR, 2024)