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Bjarne Pfitzner

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

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Sensors (Basel, Switzerland)|July 27, 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray DataJoceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, et al.
Frontiers in Digital Health|September 2, 2022
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature reviewJonas Chromik, Sophie Anne Ines Klopfenstein, Bjarne Pfitzner, 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 11, 2021
Perioperative Risk Assessment in Pancreatic Surgery Using Machine LearningBjarne Pfitzner, Jonas Chromik, Rachel Brabender, et al.
International Journal of Surgery (London, England)|April 2, 2025
90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison studyChristoph Riepe, Robin van de Water, Axel Winter, et al.
International Journal of Surgery (London, England)|August 27, 2025
Privacy preserving federated learning for 90-day mortality prediction in colorectal surgery: a multicenter retrospective development and comparison studyMax M Maurer, Bjarne Pfitzner, Robin P van de Water, et al.
International Journal of Surgery (London, England)|November 4, 2025
Overcoming the data barrier: transfer learning for 90-day mortality prediction in general surgery - a retrospective multicenter development and comparison studyAxel Winter, Bjarne Pfitzner, Robin P van de Water, et al.
Cancers|September 14, 2024
Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case-Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic EsophagectomyAxel Winter, Robin P van de Water, Bjarne Pfitzner, et al.
Pageof 1

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

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|July 27, 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray DataJoceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, et al.
Frontiers in Digital Health|September 2, 2022
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature reviewJonas Chromik, Sophie Anne Ines Klopfenstein, Bjarne Pfitzner, 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 11, 2021
Perioperative Risk Assessment in Pancreatic Surgery Using Machine LearningBjarne Pfitzner, Jonas Chromik, Rachel Brabender, et al.
International Journal of Surgery (London, England)|April 2, 2025
90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison studyChristoph Riepe, Robin van de Water, Axel Winter, et al.
International Journal of Surgery (London, England)|August 27, 2025
Privacy preserving federated learning for 90-day mortality prediction in colorectal surgery: a multicenter retrospective development and comparison studyMax M Maurer, Bjarne Pfitzner, Robin P van de Water, et al.
International Journal of Surgery (London, England)|November 4, 2025
Overcoming the data barrier: transfer learning for 90-day mortality prediction in general surgery - a retrospective multicenter development and comparison studyAxel Winter, Bjarne Pfitzner, Robin P van de Water, et al.
Cancers|September 14, 2024
Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case-Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic EsophagectomyAxel Winter, Robin P van de Water, Bjarne Pfitzner, et al.
Pageof 1