Maximilian Zenk

Employment

• Deutsches Krebsforschungszentrum

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Ensemble-based uncertainty enables large-scale 3D segmentation quality control in population imaging
  Medical Image Analysis 2027 DOI: 10.1016/j.media.2026.104351
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• Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge
  IEEE Transactions on Medical Imaging 2026 DOI: 10.1109/TMI.2025.3650126
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• Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
  Maximilian Zenk, Ujjwal Baid, Sarthak Pati +97 more
  Nature Communications 2025 DOI: 10.1038/s41467-025-60466-1
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• Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation
  Medical Image Analysis 2025 DOI: 10.1016/j.media.2024.103392
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• Client Security Alone Fails in Federated Learning: 2D and 3D Attack Insights
  2025 DOI: 10.1007/978-3-031-79103-1_24
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• Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
  2025 DOI: 10.1007/978-3-031-84525-3_6
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• Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
  2024 DOI: 10.1007/978-3-031-72980-5_13
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• Federated benchmarking of medical artificial intelligence with MedPerf
  Alexandros Karargyris, Renato Umeton, Micah Sheller

  +71 more

  • Alejandro Aristizábal
  • Johnu George
  • Anna Wuest
  • Sarthak Pati
  • Hasan Kassem
  • +66 more
  Nature Machine Intelligence 2023 DOI: 10.1038/s42256-023-00652-2
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• Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
  2022 DOI: 10.1007/978-3-031-18523-6_13
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