Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room. - Lena Maier-Hein; Martin Wagner 001; Tobias Roß; Annika Reinke; Sebastian Bodenstedt; Peter M. Full; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Anna Kisilenko; et al. (CoRR, 2020)

Surgical Data Science - from Concepts to Clinical Translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (CoRR, 2020)

Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern. - Niklas Holzwarth; Melanie Schellenberg; Janek Gröhl; Kris Dreher; Jan-Hinrich Nölke; Alexander Seitel; Minu Dietlinde Tizabi; Beat P. Müller-Stich; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2021)

Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis. - Melanie Schellenberg; Janek Gröhl; Kris Dreher; Niklas Holzwarth; Minu Dietlinde Tizabi; Alexander Seitel; Lena Maier-Hein (CoRR, 2021)

Common Limitations of Image Processing Metrics: A Picture Story. - Annika Reinke; Matthias Eisenmann; Minu Dietlinde Tizabi; Carole H. Sudre; Tim Rädsch; Michela Antonelli; Tal Arbel; Spyridon Bakas; M. Jorge Cardoso; Veronika Cheplygina; Keyvan Farahani; Ben Glocker; et al. (CoRR, 2021)

Semantic segmentation of multispectral photoacoustic images using deep learning. - Janek Gröhl; Melanie Schellenberg; Kris Dreher; Niklas Holzwarth; Minu Dietlinde Tizabi; Alexander Seitel; Lena Maier-Hein (CoRR, 2021)

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)

Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process. - Matthias Eisenmann; Minu Dietlinde Tizabi; Keno März; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2022)

Heterogeneous Model Ensemble For Automatic Polyp Segmentation In Endoscopic Video Sequences. - Thuy Nuong Tran; Fabian Isensee; Lars Krämer; Amine Yamlahi; Tim Adler; Patrick Godau; Minu Tizabi; Lena Maier-Hein (EndoCV@ISBI, 2022)

Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy. - Amine Yamlahi; Patrick Godau; Thuy Nuong Tran; Lucas-Raphael Muller; Tim Adler; Minu Tizabi; Michael Baumgartner 001; Paul Jäger 002; Lena Maier-Hein (EndoCV@ISBI, 2022)

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)

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)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Surgical data science - from concepts toward clinical translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (Medical Image Anal., 2022)

Robust deep learning-based semantic organ segmentation in hyperspectral images. - Silvia Seidlitz; Jan Sellner; Jan Odenthal; Berkin Özdemir; Alexander Studier-Fischer; Samuel Knödler; Leonardo Ayala; Tim J. Adler; Hannes Götz Kenngott; Minu Tizabi; Martin Wagner 001; Felix Nickel; et al. (Medical Image Anal., 2022)

Abstract: Tattoo-Tomographie - Freihand-3D-Photoakustik und multimodale Bildfusion. - Niklas Holzwarth; Melanie Schellenberg; Janek Gröhl; Kris Dreher; Jan-Hinrich Nölke; Alexander Seitel; Minu Dietlinde Tizabi; Beat P. Müller-Stich; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

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)

Self-distillation for Surgical Action Recognition. - Amine Yamlahi; Thuy Nuong Tran; Patrick Godau; Melanie Schellenberg; Dominik Michael; Finn-Henri Smidt; Jan-Hinrich Nölke; Tim J. Adler; Minu Dietlinde Tizabi; Chinedu Innocent Nwoye; Nicolas Padoy; Lena Maier-Hein (MICCAI (9), 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)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 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)

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)

Efficient Photoacoustic Image Synthesis with Deep Learning. - Tom Rix; Kris K. Dreher; Jan-Hinrich Nölke; Melanie Schellenberg; Minu Dietlinde Tizabi; Alexander Seitel; Lena Maier-Hein (Sensors, 2023)

Quality Assured: Rethinking Annotation Strategies in Imaging AI. - Tim Rädsch; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Nicholas Heller; Fabian Isensee; Annette Kopp-Schneider; Lena Maier-Hein (ECCV (78), 2024)

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)

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)

Metrics Reloaded: A framework for trustworthy image analysis validation. - Ali Emre Kavur; Annika Reinke; Paul F. Jäger; Fabian Isensee; Tim Rädsch; Minu Dietlinde Tizabi; Lena Maier-Hein (Zenodo, 2024)

Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural Networks. - Jan-Hinrich Nölke; Tim J. Adler; Melanie Schellenberg; Kris K. Dreher; Niklas Holzwarth; Christoph J. Bender; Minu Dietlinde Tizabi; Alexander Seitel; Lena Maier-Hein (IEEE Trans. Medical Imaging, 2024)

Application-driven validation of posteriors in inverse problems. - Tim J. Adler; Jan-Hinrich Nölke; Annika Reinke; Minu Dietlinde Tizabi; Sebastian Gruber 001; Dasha Trofimova; Lynton Ardizzone; Paul F. Jaeger; Florian Buettner 001; Ullrich Köthe; Lena Maier-Hein (Medical Image Anal., 2025)

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)