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Felix Biessmann

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

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Frontiers in Aging Neuroscience|December 15, 2016
Regularized Linear Discriminant Analysis of EEG Features in Dementia PatientsEmanuel Neto, Felix Biessmann, Harald Aurlien, et al.
IEEE Reviews in Biomedical Engineering|January 26, 2012
Analysis of multimodal neuroimaging dataFelix Biessmann, Sergey Plis, Frank C Meinecke, et al.
Neuroimage|April 28, 2012
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutionsFelix Biessmann, Yusuke Murayama, Nikos K Logothetis, et al.
Neuroimage|June 20, 2014
Stereoscopic depth increases intersubject correlations of brain networksMichael Gaebler, Felix Biessmann, Jan-Peter Lamke, et al.
Journal of Medical Internet Research|October 8, 2025
The Potential of AI in Nursing Care: Multicenter Evaluation in Fall Risk AssessmentIvana Nanevski, Sebastian Jäger, Matthias Schulte-Althoff, et al.
Journal of Medical Internet Research|November 30, 2021
Application Scenarios for Artificial Intelligence in Nursing Care: Rapid ReviewKathrin Seibert, Dominik Domhoff, Dominik Bruch, et al.
Magnetic Resonance Imaging|January 26, 2010
Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCAYusuke Murayama, Felix Biessmann, Frank C Meinecke, et al.
PLOS Digital Health|July 7, 2026
Evaluating the quality of tabular synthetic data in health careIvana Nanevski, Maryam Mohebi, Sebastian Jäger, et al.
European Journal of Radiology|July 15, 2023
Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRIGeorg L Baumgärtner, Charlie A Hamm, Sophia Schulze-Weddige, et al.
Radiology|April 11, 2023
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRICharlie A Hamm, Georg L Baumgärtner, Felix Biessmann, et al.
Pageof 1

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

Sort By:
Pageof 1
Frontiers in Aging Neuroscience|December 15, 2016
Regularized Linear Discriminant Analysis of EEG Features in Dementia PatientsEmanuel Neto, Felix Biessmann, Harald Aurlien, et al.
IEEE Reviews in Biomedical Engineering|January 26, 2012
Analysis of multimodal neuroimaging dataFelix Biessmann, Sergey Plis, Frank C Meinecke, et al.
Neuroimage|April 28, 2012
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutionsFelix Biessmann, Yusuke Murayama, Nikos K Logothetis, et al.
Neuroimage|June 20, 2014
Stereoscopic depth increases intersubject correlations of brain networksMichael Gaebler, Felix Biessmann, Jan-Peter Lamke, et al.
Journal of Medical Internet Research|October 8, 2025
The Potential of AI in Nursing Care: Multicenter Evaluation in Fall Risk AssessmentIvana Nanevski, Sebastian Jäger, Matthias Schulte-Althoff, et al.
Journal of Medical Internet Research|November 30, 2021
Application Scenarios for Artificial Intelligence in Nursing Care: Rapid ReviewKathrin Seibert, Dominik Domhoff, Dominik Bruch, et al.
Magnetic Resonance Imaging|January 26, 2010
Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCAYusuke Murayama, Felix Biessmann, Frank C Meinecke, et al.
PLOS Digital Health|July 7, 2026
Evaluating the quality of tabular synthetic data in health careIvana Nanevski, Maryam Mohebi, Sebastian Jäger, et al.
European Journal of Radiology|July 15, 2023
Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRIGeorg L Baumgärtner, Charlie A Hamm, Sophia Schulze-Weddige, et al.
Radiology|April 11, 2023
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRICharlie A Hamm, Georg L Baumgärtner, Felix Biessmann, et al.
Pageof 1