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Patrick Godau
Patrick Godau
Verified email at dkfz-heidelberg.de
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Why rankings of biomedical image analysis competitions should be interpreted with care
L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ...
Nature communications 9 (1), 5217, 2018
2912018
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
1472021
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
129*2022
Heidelberg colorectal data set for surgical data science in the sensor operating room
L Maier-Hein, M Wagner, T Ross, A Reinke, S Bodenstedt, PM Full, ...
Scientific data 8 (1), 101, 2021
702021
Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
T Roß, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ...
Medical image analysis 70, 101920, 2021
632021
How to exploit weaknesses in biomedical challenge design and organization
A Reinke, M Eisenmann, S Onogur, M Stankovic, P Scholz, PM Full, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
432018
Robust medical instrument segmentation challenge 2019
T Ross, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ...
arXiv preprint arXiv:2003.10299, 2020
332020
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
232022
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods, 1-13, 2024
222024
Why is the winner the best?
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Metrics reloaded-a new recommendation framework for biomedical image analysis validation
A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ...
Medical imaging with deep learning, 2022
112022
CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection
CI Nwoye, T Yu, S Sharma, A Murali, D Alapatt, A Vardazaryan, K Yuan, ...
Medical Image Analysis 89, 102888, 2023
102023
Metrics reloaded: Pitfalls and recommendations for image analysis validation. 2022
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Büttner, E Christodoulou, ...
arXiv preprint arXiv:2206.01653, 2023
92023
Metrics reloaded: Pitfalls and recommendations for image analysis validation. arXiv 2022
L Maier-Hein, A Reinke, E Christodoulou, B Glocker, P Godau, F Isensee, ...
arXiv preprint arXiv:2206.01653, 2023
92023
Sources of performance variability in deep learning-based polyp detection
TN Tran, TJ Adler, A Yamlahi, E Christodoulou, P Godau, A Reinke, ...
International Journal of Computer Assisted Radiology and Surgery 18 (7 …, 2023
72023
Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
M Dietrich, S Seidlitz, N Schreck, M Wiesenfarth, P Godau, M Tizabi, ...
arXiv preprint arXiv:2106.08445, 2021
72021
How can we learn (more) from challenges? A statistical approach to driving future algorithm development
T Roß, P Bruno, A Reinke, M Wiesenfarth, L Koeppel, PM Full, ...
arXiv preprint arXiv:2106.09302, 2021
62021
Beyond rankings: Learning (more) from algorithm validation
T Roß, P Bruno, A Reinke, M Wiesenfarth, L Koeppel, PM Full, ...
Medical image analysis 86, 102765, 2023
52023
Self-distillation for surgical action recognition
A Yamlahi, TN Tran, P Godau, M Schellenberg, D Michael, FH Smidt, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
Task Fingerprinting for Meta Learning inBiomedical Image Analysis
P Godau, L Maier-Hein
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
22021
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