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Eemeli Leppäaho

Showing results (1-10 of 8) with videos related to

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Bioinformatics (Oxford, England)|May 7, 2016
Sparse group factor analysis for biclustering of multiple data sourcesKerstin Bunte, Eemeli Leppäaho, Inka Saarinen, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 23, 2014
Group Factor AnalysisArto Klami, Seppo Virtanen, Eemeli Leppäaho, et al.
Human Brain Mapping|January 3, 2019
Discovering heritable modes of MEG spectral powerEemeli Leppäaho, Hanna Renvall, Elina Salmela, et al.
Frontiers in Neuroscience|November 21, 2022
The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging studyTommi Mononen, Jan Kujala, Mia Liljeström, et al.
Journal of Diabetes Science and Technology|January 18, 2026
Efficacy of an AI-Enabled Low Glucose Prediction: A Pooled Performance Analysis With Capillary Blood Glucose as Ground TruthTimor Glatzer, Ajandek Peak, Eemeli Leppäaho, et al.
Journal of Diabetes Science and Technology|April 26, 2026
Identifying Actionable Glucose Patterns in Type 1 and Type 2 Diabetes Using Continuous Glucose Monitoring and Algorithmic Pattern RecognitionTimor Glatzer, Ajandek Peak, Eemeli Leppäaho, et al.
Journal of Diabetes Science and Technology|August 19, 2024
Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive AppPau Herrero, Magí Andorrà, Nils Babion, et al.
Diabetes Technology & Therapeutics|March 12, 2026
Glucose Predictions Improve Glycemic Control: A Digital Twin EvaluationPau Herrero, Magí Andorrà, Marc D Breton, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|May 7, 2016
Sparse group factor analysis for biclustering of multiple data sourcesKerstin Bunte, Eemeli Leppäaho, Inka Saarinen, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 23, 2014
Group Factor AnalysisArto Klami, Seppo Virtanen, Eemeli Leppäaho, et al.
Human Brain Mapping|January 3, 2019
Discovering heritable modes of MEG spectral powerEemeli Leppäaho, Hanna Renvall, Elina Salmela, et al.
Frontiers in Neuroscience|November 21, 2022
The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging studyTommi Mononen, Jan Kujala, Mia Liljeström, et al.
Journal of Diabetes Science and Technology|January 18, 2026
Efficacy of an AI-Enabled Low Glucose Prediction: A Pooled Performance Analysis With Capillary Blood Glucose as Ground TruthTimor Glatzer, Ajandek Peak, Eemeli Leppäaho, et al.
Journal of Diabetes Science and Technology|April 26, 2026
Identifying Actionable Glucose Patterns in Type 1 and Type 2 Diabetes Using Continuous Glucose Monitoring and Algorithmic Pattern RecognitionTimor Glatzer, Ajandek Peak, Eemeli Leppäaho, et al.
Journal of Diabetes Science and Technology|August 19, 2024
Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive AppPau Herrero, Magí Andorrà, Nils Babion, et al.
Diabetes Technology & Therapeutics|March 12, 2026
Glucose Predictions Improve Glycemic Control: A Digital Twin EvaluationPau Herrero, Magí Andorrà, Marc D Breton, et al.
Pageof 1