Confidence Estimation for Machine Learning-Based Quantitative Photoacoustics. - Janek Gröhl; Thomas Kirchner; Tim Adler; Lena Maier-Hein (J. Imaging, 2018)

In silico 2D photoacoustic imaging data. - Janek Gröhl; Thomas Kirchner; Tim Adler; Lena Maier-Hein (Zenodo, 2018)

Out of Distribution Detection for Intra-operative Functional Imaging. - Tim J. Adler; Leonardo Ayala; Lynton Ardizzone; Hannes Kenngott; Anant Suraj Vemuri; Beat P. Müller-Stich; Carsten Rother; Ullrich Köthe; Lena Maier-Hein (UNSURE/CLIP@MICCAI, 2019)

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. - Tim J. Adler; Lynton Ardizzone; Anant Suraj Vemuri; Leonardo Ayala; Janek Gröhl; Thomas Kirchner; Sebastian J. Wirkert; Jakob Kruse; Carsten Rother; Ullrich Köthe; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2019)

Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI). - Janek Gröhl; Thomas Kirchner; Tim Adler; Lena Maier-Hein (CoRR, 2019)

Light source calibration for multispectral imaging in surgery. - Leonardo Ayala; Silvia Seidlitz; Anant Vemuri; Sebastian J. Wirkert; Thomas Kirchner; Tim J. Adler; Christina Engels; Dogu Teber; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 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)

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. - Darya Trofimova; Tim Adler; Lisa Kausch; Lynton Ardizzone; Klaus H. Maier-Hein; Ullrich Köthe; Carsten Rother; Lena Maier-Hein (CoRR, 2020)

Supplementary code and data for "Learned spectral decoloring enables photoacoustic oximetry". - Janek Gröhl; Thomas Kirchner; Tim J. Adler; Lina Hacker; Niklas Holzwarth; Adrián Hernández-Aguilera; Mildred A. Herrera; Edgar Santos; Sarah E. Bohndiek; Lena Maier-Hein (Zenodo, 2020)

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. - Jan-Hinrich Nölke; Tim Adler; Janek Gröhl; Thomas Kirchner; Lynton Ardizzone; Carsten Rother; Ullrich Köthe; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2021)

Video-rate multispectral imaging in laparoscopic surgery: First-in-human application. - Leonardo Ayala; Sebastian J. Wirkert; Anant Vemuri; Tim Adler; Silvia Seidlitz; Sebastian Pirmann; Christina Engels; Dogu Teber; Lena Maier-Hein (CoRR, 2021)

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)

Robust hand tracking for surgical telestration. - Lucas-Raphael Müller; Jens Petersen; Amine Yamlahi; Philipp Wise; Tim J. Adler; Alexander Seitel; Karl-Friedrich Kowalewski; Beat Müller; Hannes Kenngott; Felix Nickel; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2022)

Correction to: Robust hand tracking for surgical telestration. - Lucas-Raphael Müller; Jens Petersen; Amine Yamlahi; Philipp Wise; Tim J. Adler; Alexander Seitel; Karl-Friedrich Kowalewski; Beat Müller; Hannes Kenngott; Felix Nickel; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 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)

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)

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)

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)

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)

Unsupervised Domain Transfer with Conditional Invertible Neural Networks. - Kris K. Dreher; Leonardo Ayala; Melanie Schellenberg; Marco Hübner; Jan-Hinrich Nölke; Tim J. Adler; Silvia Seidlitz; Jan Sellner; Alexander Studier-Fischer; Janek Gröhl; Felix Nickel; Ullrich Köthe; et al. (MICCAI (1), 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)

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)

Uncertainty Quantification in Biophotonic Imaging using Invertible Neural Networks - Tim Adler (2023)

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)

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)

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)

Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI. - Patrick Godau; Akriti Srivastava; Tim Adler; Lena Maier-Hein (CoRR, 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)