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Manfred Reichert

Showing results (31-40 of 52) with videos related to

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Scientific Reports|September 13, 2024
Engagement analysis of a persuasive-design-optimized eHealth intervention through machine learningAbdul Rahman Idrees, Felix Beierle, Agnes Mutter, et al.
Frontiers in Neuroscience|March 19, 2020
Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare DomainRobin Kraft, Winfried Schlee, Michael Stach, et al.
Scientific Reports|October 25, 2023
Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity datasetDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Scientific Reports|June 2, 2023
Predicting the presence of tinnitus using ecological momentary assessmentsMarius Breitmayer, Michael Stach, Robin Kraft, et al.
Journal of Ambient Intelligence and Humanized Computing|June 8, 2023
Exploring the usability of an internet-based intervention and its providing eHealth platform in an eye-tracking studyAbdul Rahman Idrees, Robin Kraft, Michael Winter, et al.
JMIR Mhealth and Uhealth|August 19, 2020
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and AssessmentMuntazir Mehdi, Michael Stach, Constanze Riha, et al.
International Journal of Audiology|June 29, 2021
An Albanian translation of a questionnaire for self-reported tinnitus assessmentEleni Genitsaridi, Albi Dode, Birkena Qirjazi, et al.
Scientific Reports|June 6, 2023
Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillationDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Sensors (Basel, Switzerland)|June 24, 2020
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing PlatformRobin Kraft, Ferdinand Birk, Manfred Reichert, et al.
Frontiers in Aging Neuroscience|August 22, 2017
Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the "TrackYourTinnitus" ApplicationThomas Probst, Rüdiger C Pryss, Berthold Langguth, et al.
Pageof 6

Showing results (31-40 of 52) with videos related to

Sort By:
Pageof 6
Scientific Reports|September 13, 2024
Engagement analysis of a persuasive-design-optimized eHealth intervention through machine learningAbdul Rahman Idrees, Felix Beierle, Agnes Mutter, et al.
Frontiers in Neuroscience|March 19, 2020
Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare DomainRobin Kraft, Winfried Schlee, Michael Stach, et al.
Scientific Reports|October 25, 2023
Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity datasetDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Scientific Reports|June 2, 2023
Predicting the presence of tinnitus using ecological momentary assessmentsMarius Breitmayer, Michael Stach, Robin Kraft, et al.
Journal of Ambient Intelligence and Humanized Computing|June 8, 2023
Exploring the usability of an internet-based intervention and its providing eHealth platform in an eye-tracking studyAbdul Rahman Idrees, Robin Kraft, Michael Winter, et al.
JMIR Mhealth and Uhealth|August 19, 2020
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and AssessmentMuntazir Mehdi, Michael Stach, Constanze Riha, et al.
International Journal of Audiology|June 29, 2021
An Albanian translation of a questionnaire for self-reported tinnitus assessmentEleni Genitsaridi, Albi Dode, Birkena Qirjazi, et al.
Scientific Reports|June 6, 2023
Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillationDaniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Sensors (Basel, Switzerland)|June 24, 2020
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing PlatformRobin Kraft, Ferdinand Birk, Manfred Reichert, et al.
Frontiers in Aging Neuroscience|August 22, 2017
Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the "TrackYourTinnitus" ApplicationThomas Probst, Rüdiger C Pryss, Berthold Langguth, et al.
Pageof 6