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Michael Fujarski

Showing results (11-20 of 20) with videos related to

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NPJ Parkinson'S Disease|January 5, 2024
Machine Learning in the Parkinson's disease smartwatch (PADS) datasetJulian Varghese, Alexander Brenner, Michael Fujarski, et al.
Studies in Health Technology and Informatics|May 19, 2023
The Necessity of Multiple Data Sources for ECG-Based Machine Learning ModelsLucas Plagwitz, Tobias Vogelsang, Florian Doldi, et al.
Nature Medicine|April 23, 2025
Benchmark evaluation of DeepSeek large language models in clinical decision-makingSarah Sandmann, Stefan Hegselmann, Michael Fujarski, et al.
European Heart Journal. Digital Health|May 21, 2026
The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clusteringLucas Plagwitz, Lucas Bickmann, Michael Fujarski, et al.
Sensors (Basel, Switzerland)|May 5, 2021
Sensor Validation and Diagnostic Potential of Smartwatches in Movement DisordersJulian Varghese, Catharina Marie van Alen, Michael Fujarski, et al.
Andrology|December 16, 2021
Machine learning based prediction models in male reproductive health: Development of a proof-of-concept model for Klinefelter Syndrome in azoospermic patientsHenrike Krenz, Andrea Sansone, Michael Fujarski, et al.
Scientific Reports|May 25, 2026
Impact of a structured case report on self-reported responses to simulated emergency scenarios: a randomized survey-based studyChristian Porschen, Katharina E M Hellenthal, Alexander Zarbock, et al.
Studies in Health Technology and Informatics|May 19, 2023
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data ImputationMichael Fujarski, Christian Porschen, Lucas Plagwitz, et al.
Critical Care (London, England)|March 5, 2026
Association between acute kidney injury and delirium in critically ill patients: a retrospective cohort study using two independent databasesChristian Porschen, Christian Strauß, Sean M Bagshaw, et al.
Studies in Health Technology and Informatics|May 25, 2022
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access DatabaseMichael Fujarski, Christian Porschen, Lucas Plagwitz, et al.
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Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
NPJ Parkinson'S Disease|January 5, 2024
Machine Learning in the Parkinson's disease smartwatch (PADS) datasetJulian Varghese, Alexander Brenner, Michael Fujarski, et al.
Studies in Health Technology and Informatics|May 19, 2023
The Necessity of Multiple Data Sources for ECG-Based Machine Learning ModelsLucas Plagwitz, Tobias Vogelsang, Florian Doldi, et al.
Nature Medicine|April 23, 2025
Benchmark evaluation of DeepSeek large language models in clinical decision-makingSarah Sandmann, Stefan Hegselmann, Michael Fujarski, et al.
European Heart Journal. Digital Health|May 21, 2026
The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clusteringLucas Plagwitz, Lucas Bickmann, Michael Fujarski, et al.
Sensors (Basel, Switzerland)|May 5, 2021
Sensor Validation and Diagnostic Potential of Smartwatches in Movement DisordersJulian Varghese, Catharina Marie van Alen, Michael Fujarski, et al.
Andrology|December 16, 2021
Machine learning based prediction models in male reproductive health: Development of a proof-of-concept model for Klinefelter Syndrome in azoospermic patientsHenrike Krenz, Andrea Sansone, Michael Fujarski, et al.
Scientific Reports|May 25, 2026
Impact of a structured case report on self-reported responses to simulated emergency scenarios: a randomized survey-based studyChristian Porschen, Katharina E M Hellenthal, Alexander Zarbock, et al.
Studies in Health Technology and Informatics|May 19, 2023
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data ImputationMichael Fujarski, Christian Porschen, Lucas Plagwitz, et al.
Critical Care (London, England)|March 5, 2026
Association between acute kidney injury and delirium in critically ill patients: a retrospective cohort study using two independent databasesChristian Porschen, Christian Strauß, Sean M Bagshaw, et al.
Studies in Health Technology and Informatics|May 25, 2022
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access DatabaseMichael Fujarski, Christian Porschen, Lucas Plagwitz, et al.
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