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David Zimmerer

Showing results (1-10 of 5) with videos related to

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Medical Image Analysis|December 10, 2024
Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregationMaximilian Zenk, David Zimmerer, Fabian Isensee, et al.
Computers in Biology and Medicine|July 10, 2025
Leveraging foundation models for content-based image retrieval in radiologyStefan Denner, David Zimmerer, Dimitrios Bounias, et al.
International Journal of Computer Assisted Radiology and Surgery|April 29, 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learningTobias Ross, David Zimmerer, Anant Vemuri, et al.
IEEE Transactions on Medical Imaging|April 25, 2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical ImagesDavid Zimmerer, Peter M Full, Fabian Isensee, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|December 10, 2024
Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregationMaximilian Zenk, David Zimmerer, Fabian Isensee, et al.
Computers in Biology and Medicine|July 10, 2025
Leveraging foundation models for content-based image retrieval in radiologyStefan Denner, David Zimmerer, Dimitrios Bounias, et al.
International Journal of Computer Assisted Radiology and Surgery|April 29, 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learningTobias Ross, David Zimmerer, Anant Vemuri, et al.
IEEE Transactions on Medical Imaging|April 25, 2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical ImagesDavid Zimmerer, Peter M Full, Fabian Isensee, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 1