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Fred Godtliebsen

Showing results (1-10 of 37) with videos related to

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Computational and Mathematical Methods in Medicine|March 26, 2011
Scale space methods for analysis of type 2 diabetes patients' blood glucose valuesStein Olav Skrøvseth, Fred Godtliebsen
Marine Pollution Bulletin|October 31, 2002
Assessment of potential transport of pollutants into the Barents Sea via sea ice--an observational approachReinert Korsnes, Olga Pavlova, Fred Godtliebsen
Plos One|January 23, 2019
A novel scale-space approach for multinormality testing and the k-sample problem in the high dimension low sample size scenarioKristian Hindberg, Jan Hannig, Fred Godtliebsen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Automatic learning of spatial patterns for diagnosis of skin lesionsMaciel Zortea, Stein Olav Skrovseth, Fred Godtliebsen
American Journal of Physiology. Heart and Circulatory Physiology|August 1, 2006
Scale-space analysis of time series in circulatory researchKim Erlend Mortensen, Fred Godtliebsen, Arthur Revhaug
Artificial Intelligence in Medicine|June 6, 2020
Reinforcement learning application in diabetes blood glucose control: A systematic reviewMiguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen
Plos One|January 10, 2013
Causality in scale space as an approach to change detectionStein Olav Skrøvseth, Johan Gustav Bellika, Fred Godtliebsen
Diabetes Technology & Therapeutics|October 6, 2012
Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetesStein Olav Skrøvseth, Eirik Årsand, Fred Godtliebsen, et al.
Diabetes Technology & Therapeutics|March 10, 2015
Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized TrialStein Olav Skrøvseth, Eirik Årsand, Fred Godtliebsen, et al.
Diagnostics (Basel, Switzerland)|October 14, 2023
Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 DiabetesMiguel Tejedor, Sigurd Nordtveit Hjerde, Jonas Nordhaug Myhre, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Computational and Mathematical Methods in Medicine|March 26, 2011
Scale space methods for analysis of type 2 diabetes patients' blood glucose valuesStein Olav Skrøvseth, Fred Godtliebsen
Marine Pollution Bulletin|October 31, 2002
Assessment of potential transport of pollutants into the Barents Sea via sea ice--an observational approachReinert Korsnes, Olga Pavlova, Fred Godtliebsen
Plos One|January 23, 2019
A novel scale-space approach for multinormality testing and the k-sample problem in the high dimension low sample size scenarioKristian Hindberg, Jan Hannig, Fred Godtliebsen
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Automatic learning of spatial patterns for diagnosis of skin lesionsMaciel Zortea, Stein Olav Skrovseth, Fred Godtliebsen
American Journal of Physiology. Heart and Circulatory Physiology|August 1, 2006
Scale-space analysis of time series in circulatory researchKim Erlend Mortensen, Fred Godtliebsen, Arthur Revhaug
Artificial Intelligence in Medicine|June 6, 2020
Reinforcement learning application in diabetes blood glucose control: A systematic reviewMiguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen
Plos One|January 10, 2013
Causality in scale space as an approach to change detectionStein Olav Skrøvseth, Johan Gustav Bellika, Fred Godtliebsen
Diabetes Technology & Therapeutics|October 6, 2012
Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetesStein Olav Skrøvseth, Eirik Årsand, Fred Godtliebsen, et al.
Diabetes Technology & Therapeutics|March 10, 2015
Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized TrialStein Olav Skrøvseth, Eirik Årsand, Fred Godtliebsen, et al.
Diagnostics (Basel, Switzerland)|October 14, 2023
Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 DiabetesMiguel Tejedor, Sigurd Nordtveit Hjerde, Jonas Nordhaug Myhre, et al.
Pageof 4