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Philip Zaschke

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

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Studies in Health Technology and Informatics|September 3, 2025
An Open Data and Methods Framework for Comparative Evaluation of DICOM De-Identification ToolsFriederike Seyderhelm, James Bowden, Philip Zaschke, et al.
Studies in Health Technology and Informatics|May 17, 2025
Privacy Preservation for PET/CT DICOM Images in Clinical StudiesFriederike Seyderhelm, Philip Zaschke, Lennart Graf, et al.
Studies in Health Technology and Informatics|May 17, 2025
Towards Interoperable ECGs: Converting Proprietary XML to DICOMLennart Graf, Maximilian Oremek, Ruwen Sadocco, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Using EEG Frequency Attributions to Explain the Classifications of a Deep Neural Network for Sleep StagingPaul Grave, Tabea F Steinbrinker, Franz Ehrlich, et al.
Studies in Health Technology and Informatics|May 23, 2026
The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of CarePhilip Zaschke, Friederike Seyderhelm, Cynthia S Schmidt, et al.
Pageof 1

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

Sort By:
Pageof 1
Studies in Health Technology and Informatics|September 3, 2025
An Open Data and Methods Framework for Comparative Evaluation of DICOM De-Identification ToolsFriederike Seyderhelm, James Bowden, Philip Zaschke, et al.
Studies in Health Technology and Informatics|May 17, 2025
Privacy Preservation for PET/CT DICOM Images in Clinical StudiesFriederike Seyderhelm, Philip Zaschke, Lennart Graf, et al.
Studies in Health Technology and Informatics|May 17, 2025
Towards Interoperable ECGs: Converting Proprietary XML to DICOMLennart Graf, Maximilian Oremek, Ruwen Sadocco, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Using EEG Frequency Attributions to Explain the Classifications of a Deep Neural Network for Sleep StagingPaul Grave, Tabea F Steinbrinker, Franz Ehrlich, et al.
Studies in Health Technology and Informatics|May 23, 2026
The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of CarePhilip Zaschke, Friederike Seyderhelm, Cynthia S Schmidt, et al.
Pageof 1