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Pierre Nugues

Showing results (1-10 of 9) 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|March 9, 2017
Selection of an optimal feature set to predict heart transplantation outcomesDennis Medved, Pierre Nugues, Johan Nilsson
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Predicting the outcome for patients in a heart transplantation queue using deep learningDennis Medved, Pierre Nugues, Johan Nilsson
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Simulating the Outcome of Heart Allocation Policies Using Deep Neural NetworksDennis Medved, Pierre Nugues, Johan Nilsson
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Automatic Annotation of PubMed Articles with MeSH QualifiersWeizhong Tang, Marcus Klang, Dennis Medved, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Using Operative Reports to Predict Heart Transplantation SurvivalMarcus Klang, Daniel Diaz, Dennis Medved, et al.
Scientific Reports|February 28, 2018
Improving prediction of heart transplantation outcome using deep learning techniquesDennis Medved, Mattias Ohlsson, Peter Höglund, et al.
Studies in Health Technology and Informatics|August 6, 2004
Virtual reality exposure in the treatment of social phobiaEvelyne Klinger, Patrick Légeron, Stéphane Roy, et al.
Journal of the American Heart Association|July 25, 2019
Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted SurveillanceJohan Nilsson, David Ansari, Mattias Ohlsson, 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
Textual Annotation in the Prediction of Heart and Lung Transplantation Outcomes from Donor DataMarcus Klang, Rasmus Backlund, Quanwei Li, et al.
Pageof 1

Showing results (1-10 of 9) 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|March 9, 2017
Selection of an optimal feature set to predict heart transplantation outcomesDennis Medved, Pierre Nugues, Johan Nilsson
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Predicting the outcome for patients in a heart transplantation queue using deep learningDennis Medved, Pierre Nugues, Johan Nilsson
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Simulating the Outcome of Heart Allocation Policies Using Deep Neural NetworksDennis Medved, Pierre Nugues, Johan Nilsson
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Automatic Annotation of PubMed Articles with MeSH QualifiersWeizhong Tang, Marcus Klang, Dennis Medved, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Using Operative Reports to Predict Heart Transplantation SurvivalMarcus Klang, Daniel Diaz, Dennis Medved, et al.
Scientific Reports|February 28, 2018
Improving prediction of heart transplantation outcome using deep learning techniquesDennis Medved, Mattias Ohlsson, Peter Höglund, et al.
Studies in Health Technology and Informatics|August 6, 2004
Virtual reality exposure in the treatment of social phobiaEvelyne Klinger, Patrick Légeron, Stéphane Roy, et al.
Journal of the American Heart Association|July 25, 2019
Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted SurveillanceJohan Nilsson, David Ansari, Mattias Ohlsson, 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
Textual Annotation in the Prediction of Heart and Lung Transplantation Outcomes from Donor DataMarcus Klang, Rasmus Backlund, Quanwei Li, et al.
Pageof 1