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Panagiotis Papapetrou

Showing results (1-10 of 11) with videos related to

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Artificial Intelligence in Medicine|November 10, 2021
Exploiting complex medical data with interpretable deep learning for adverse drug event predictionJonathan Rebane, Isak Samsten, Panagiotis Papapetrou
International Journal of Data Mining and Bioinformatics|November 20, 2012
Mining poly-regions in DNAPanagiotis Papapetrou, Gary Benson, George Kollios
Artificial Intelligence in Medicine|January 11, 2023
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patientsZhendong Wang, Isak Samsten, Vasiliki Kougia, et al.
Journal of Biomedical Informatics|December 7, 2016
Learning from heterogeneous temporal data in electronic health recordsJing Zhao, Panagiotis Papapetrou, Lars Asker, et al.
Artificial Intelligence in Medicine|June 22, 2024
M-ClustEHR: A multimodal clustering approach for electronic health recordsMaria Bampa, Ioanna Miliou, Braslav Jovanovic, et al.
BMC Medical Informatics and Decision Making|January 12, 2019
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical recordsFrancesco Bagattini, Isak Karlsson, Jonathan Rebane, et al.
Journal of the American Medical Informatics Association : JAMIA|April 21, 2021
RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography examsVasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, et al.
Journal of Biomedical Informatics|December 23, 2019
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119]Jing Zhao, Panagiotis Papapetrou, Lars Asker, et al.
JCO Clinical Cancer Informatics|June 10, 2026
Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multicancer CohortFranco Rugolon, Korbinian Randl, Braslav Jovanovic, et al.
Frontiers in Artificial Intelligence|December 6, 2021
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-RegulationMuhammad Afzaal, Jalal Nouri, Aayesha Zia, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|November 10, 2021
Exploiting complex medical data with interpretable deep learning for adverse drug event predictionJonathan Rebane, Isak Samsten, Panagiotis Papapetrou
International Journal of Data Mining and Bioinformatics|November 20, 2012
Mining poly-regions in DNAPanagiotis Papapetrou, Gary Benson, George Kollios
Artificial Intelligence in Medicine|January 11, 2023
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patientsZhendong Wang, Isak Samsten, Vasiliki Kougia, et al.
Journal of Biomedical Informatics|December 7, 2016
Learning from heterogeneous temporal data in electronic health recordsJing Zhao, Panagiotis Papapetrou, Lars Asker, et al.
Artificial Intelligence in Medicine|June 22, 2024
M-ClustEHR: A multimodal clustering approach for electronic health recordsMaria Bampa, Ioanna Miliou, Braslav Jovanovic, et al.
BMC Medical Informatics and Decision Making|January 12, 2019
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical recordsFrancesco Bagattini, Isak Karlsson, Jonathan Rebane, et al.
Journal of the American Medical Informatics Association : JAMIA|April 21, 2021
RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography examsVasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, et al.
Journal of Biomedical Informatics|December 23, 2019
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119]Jing Zhao, Panagiotis Papapetrou, Lars Asker, et al.
JCO Clinical Cancer Informatics|June 10, 2026
Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multicancer CohortFranco Rugolon, Korbinian Randl, Braslav Jovanovic, et al.
Frontiers in Artificial Intelligence|December 6, 2021
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-RegulationMuhammad Afzaal, Jalal Nouri, Aayesha Zia, et al.
Pageof 2