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Mark van Gils

Showing results (1-10 of 88) with videos related to

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JAMA Network Open|February 3, 2026
Data-Driven Approach to Predict Aneurysm Rupture RiskJuhana Frösen, Mark van Gils
Computers in Biology and Medicine|March 28, 2021
Evaluation of machine learning algorithms for health and wellness applications: A tutorialJussi Tohka, Mark van Gils
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society|July 9, 2003
Health monitoring in the home of the futureIlkka Korhonen, Juha Pärkkä, Mark van Gils
Studies in Health Technology and Informatics|June 7, 2013
State-of-the-art of wearable EEG for personalized health applicationsEvangelia Balanou, Mark van Gils, Toni Vanhala
Critical Reviews in Biomedical Engineering|June 29, 2018
Procedures for Evaluating the Adequacy of AnesthesiaMark van Gils, Ilkka Korhonen, Arvi Yli-Hankala
Critical Reviews in Biomedical Engineering|March 26, 2003
Methods for assessing adequacy of anesthesiaMark van Gils, Ilkka Korhonen, Arvi Yli-Hankala
Trends in Pharmacological Sciences|April 30, 2022
A smart hospital-driven approach to precision pharmacovigilanceFrancesco De Pretis, Mark van Gils, Markus M Forsberg
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
SPECT Image Features for Early Detection of Parkinson's Disease using Machine Learning MethodsEmmi Antikainen, Patrick Cella, Antti Tolonen, et al.
Journal of Clinical Monitoring and Computing|July 9, 2015
Comparison of train-of-four ratios measured with Datex-Ohmeda's M-NMT MechanoSensor™ and M-NMT ElectroSensor™Jarno Salminen, Mark van Gils, Markku Paloheimo, et al.
IEEE Transactions on Bio-Medical Engineering|October 13, 2011
Design and application of a generic clinical decision support system for multiscale dataJussi Mattila, Juha Koikkalainen, Arho Virkki, et al.
Pageof 9

Showing results (1-10 of 88) with videos related to

Sort By:
Pageof 9
JAMA Network Open|February 3, 2026
Data-Driven Approach to Predict Aneurysm Rupture RiskJuhana Frösen, Mark van Gils
Computers in Biology and Medicine|March 28, 2021
Evaluation of machine learning algorithms for health and wellness applications: A tutorialJussi Tohka, Mark van Gils
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society|July 9, 2003
Health monitoring in the home of the futureIlkka Korhonen, Juha Pärkkä, Mark van Gils
Studies in Health Technology and Informatics|June 7, 2013
State-of-the-art of wearable EEG for personalized health applicationsEvangelia Balanou, Mark van Gils, Toni Vanhala
Critical Reviews in Biomedical Engineering|June 29, 2018
Procedures for Evaluating the Adequacy of AnesthesiaMark van Gils, Ilkka Korhonen, Arvi Yli-Hankala
Critical Reviews in Biomedical Engineering|March 26, 2003
Methods for assessing adequacy of anesthesiaMark van Gils, Ilkka Korhonen, Arvi Yli-Hankala
Trends in Pharmacological Sciences|April 30, 2022
A smart hospital-driven approach to precision pharmacovigilanceFrancesco De Pretis, Mark van Gils, Markus M Forsberg
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
SPECT Image Features for Early Detection of Parkinson's Disease using Machine Learning MethodsEmmi Antikainen, Patrick Cella, Antti Tolonen, et al.
Journal of Clinical Monitoring and Computing|July 9, 2015
Comparison of train-of-four ratios measured with Datex-Ohmeda's M-NMT MechanoSensor™ and M-NMT ElectroSensor™Jarno Salminen, Mark van Gils, Markku Paloheimo, et al.
IEEE Transactions on Bio-Medical Engineering|October 13, 2011
Design and application of a generic clinical decision support system for multiscale dataJussi Mattila, Juha Koikkalainen, Arho Virkki, et al.
Pageof 9