Tobias Roß
Orcid: 0000-0002-7094-4926
According to our database1,
Tobias Roß
authored at least 19 papers
between 2015 and 2023.
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Bibliography
2023
Medical Image Anal., May, 2023
Nat. Mac. Intell., March, 2023
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022
Medical Image Anal., 2022
2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
How can we learn (more) from challenges? A statistical approach to driving future algorithm development.
CoRR, 2021
2020
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room.
CoRR, 2020
2019
Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Int. J. Comput. Assist. Radiol. Surg., 2018
2017
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
CoRR, 2017
Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences.
Int. J. Comput. Assist. Radiol. Surg., 2015
Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015