Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen. - Eric Heim; Tobias Roß; Tobias Norajitra; Marco Nolden; Keno März; Daniel Kondermann; Stefanie Speidel; Klaus H. Maier-Hein; Lena Maier-Hein (CURAC, 2015)

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences. - Lena Maier-Hein; Daniel Kondermann; Tobias Roß; Sven Mersmann; Eric Heim; Sebastian Bodenstedt; Hannes Götz Kenngott; Alexandro Sanchez; Martin Wagner 001; Anas Preukschas; Anna-Laura Wekerle; Stefanie Helfert; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. - Lena Maier-Hein; Tobias Roß; Janek Gröhl; Ben Glocker; Sebastian Bodenstedt; Christian Stock; Eric Heim; Michael Götz; Sebastian J. Wirkert; Hannes Kenngott; Stefanie Speidel; Klaus H. Maier-Hein (MICCAI (2), 2016)

Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung. - Eric Heim; Alexander Seitel; Christian Stock; Tobias Roß; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2017)

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. - Tobias Roß; David Zimmerer; Anant Suraj Vemuri; Fabian Isensee; Sebastian Bodenstedt; Fabian Both; Philip Kessler; Martin Wagner 001; Beat Müller; Hannes Kenngott; Stefanie Speidel; Klaus H. Maier-Hein; et al. (CoRR, 2017)

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. - Tobias Roß; David Zimmerer; Anant Suraj Vemuri; Fabian Isensee; Manuel Wiesenfarth; Sebastian Bodenstedt; Fabian Both; Philip Kessler; Martin Wagner 001; Beat Müller; Hannes Kenngott; Stefanie Speidel; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Clickstream Analysis for Crowd-Based Object Segmentation with Confidence. - Eric Heim; Alexander Seitel; Jonas Andrulis; Fabian Isensee; Christian Stock; Tobias Roß; Lena Maier-Hein (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation. - Micha Pfeiffer; Isabel Funke; Maria R. Robu; Sebastian Bodenstedt; Leon Strenger; Sandy Engelhardt; Tobias Roß; Matthew J. Clarkson; Kurinchi Gurusamy; Brian R. Davidson; Lena Maier-Hein; Carina Riediger; et al. (MICCAI (5), 2019)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

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)

How can we learn (more) from challenges? A statistical approach to driving future algorithm development. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Sara Moccia; Francesco Calimeri; et al. (CoRR, 2021)

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 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)

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)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Surgical data science in endoscopic surgery. - Tobias Roß (2022)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 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)

Beyond rankings: Learning (more) from algorithm validation. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Tim J. Adler; Thuy Nuong Tran; et al. (Medical Image Anal., 2023)