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Philip Hempel

Showing results (1-10 of 7) with videos related to

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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
Curriculum Learning using Real and Simulated Data in Deep Learning Models for Electrocardiography ClassificationSebastian Schmale, Philip Hempel, Nicolai Spicher
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Enhancing explainability in ECG analysis through evidence-based AI interpretabilityPhilip Hempel, Theresa Bender, Nicolai Spicher
NPJ Digital Medicine|January 13, 2025
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population studyPhilip Hempel, Antônio H Ribeiro, Marcus Vollmer, 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.
NPJ Digital Medicine|February 6, 2026
xGNN4MI: explainability of graph neural networks in 12-lead electrocardiography for cardiovascular disease classificationMiriam Cindy Maurer, Philip Hempel, Kristin Elisabeth Steinhaus, 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
Adapting 12-Lead ECG AI Model to 1-Lead Smart Watches for Diagnosis in Clinical Heart Failure PatientsPhilip Hempel, Tabea Steinbrinker, Lennart Graf, 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
Feasibility of time delay stability analysis of physiological signals acquired during short-time 3T magnetic resonance imagingAngelika S Bader, Tabea F A Steinbrinker, Philip Hempel, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
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
Curriculum Learning using Real and Simulated Data in Deep Learning Models for Electrocardiography ClassificationSebastian Schmale, Philip Hempel, Nicolai Spicher
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Enhancing explainability in ECG analysis through evidence-based AI interpretabilityPhilip Hempel, Theresa Bender, Nicolai Spicher
NPJ Digital Medicine|January 13, 2025
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population studyPhilip Hempel, Antônio H Ribeiro, Marcus Vollmer, 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.
NPJ Digital Medicine|February 6, 2026
xGNN4MI: explainability of graph neural networks in 12-lead electrocardiography for cardiovascular disease classificationMiriam Cindy Maurer, Philip Hempel, Kristin Elisabeth Steinhaus, 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
Adapting 12-Lead ECG AI Model to 1-Lead Smart Watches for Diagnosis in Clinical Heart Failure PatientsPhilip Hempel, Tabea Steinbrinker, Lennart Graf, 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
Feasibility of time delay stability analysis of physiological signals acquired during short-time 3T magnetic resonance imagingAngelika S Bader, Tabea F A Steinbrinker, Philip Hempel, et al.
Pageof 1