Tim Rädsch

Researcher, Technical University of Munich

Joined

September 2022

Names

Tim Rädsch (Preferred)

Emails

****@dkfz-heidelberg.de (Confirmed)

****@gmail.com (Confirmed)

****@tum.de (Confirmed)

****@stud.uni-heidelberg.de (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

Technical University of Munich (tum.de)

2025 – 2030

PhD student

Intelligent Medical Systems, German Cancer Research Center (DKFZ) (dkfz.de)

2021 – 2025

PhD student

Heidelberg University (heidelberg.edu)

2021 – 2025

MS student

Karlsruher Institut für Technologie (kit.edu)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Lena Maier-Hein

2021 – 2025

Coauthor

Annika Reinke

2021 – 2025

Expertise

data-centric AI

data quality assurance

data annotation

labeling

labelling

human-machine interaction

2018 – Present

Publications

Domain-Specific Benchmarking of Vision-Language Models: A Task Augmentation Framework Using Metadata
Tim Rädsch, Leon Mayer, Simon Pavicic, Ali Emre Kavur, Marcel Knopp, Barış Öztürk, Klaus Maier-Hein, Paul F Jaeger, Fabian Isensee, Annika Reinke, Lena Maier-hein
- ICLR 2025 Workshop Data Problems Poster
- Readers: Everyone
Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation
Tim Rädsch, Leon Mayer, Simon Pavicic, Ali Emre Kavur, Marcel Knopp, Barış Öztürk, Klaus Maier-Hein, Paul F Jaeger, Fabian Isensee, Annika Reinke, Lena Maier-hein
- ICLR 2025 FM-Wild Workshop
- Readers: Everyone
Domain-specific Benchmarking of Vision-Language Models: A Task Augmentation Framework Using Metadata
Tim Rädsch, Leon Mayer, Simon Pavicic, Ali Emre Kavur, Marcel Knopp, Barış Öztürk, Klaus Maier-Hein, Paul F Jaeger, Fabian Isensee, Annika Reinke, Lena Maier-hein
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 06 Nov 2023
- Nat. Mac. Intell. 2023
- Readers: Everyone
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini et al. (58 additional authors not shown)
- 2023 (modified: 02 Mar 2023)
- CoRR 2023
- Readers: Everyone
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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge et al. (31 additional authors not shown)
- 2023 (modified: 25 Apr 2023)
- CoRR 2023
- Readers: Everyone
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, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel et al. (47 additional authors not shown)
- 2022 (modified: 16 Nov 2022)
- CoRR 2022
- Readers: Everyone
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
- Published: 01 Jan 2022, Last Modified: 06 Nov 2023
- CoRR 2022
- Readers: Everyone
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, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman et al. (14 additional authors not shown)
- 2021 (modified: 16 Nov 2022)
- CoRR 2021
- Readers: Everyone
What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images
Tim Rädsch, Sven Eckhardt, Florian Leiser, Konstantin D. Pandl, Scott Thiebes, Ali Sunyaev
- Published: 01 Jan 2021, Last Modified: 17 Nov 2023
- HICSS 2021
- Readers: Everyone

View all 11 publications

Co-Authors

View all 142 co-authors