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Design of Interpretable end-to-end Deep Learning Models for Diagnosis of Sleep Disorders and Sleep Health Evaluation ion
Brink-Kjær, Andreas
(PhD Student)
Sørensen, Helge Bjarup Dissing
(Main Supervisor)
Mignot, Emmanuel
(Supervisor)
Jakobsen, Kaj Bjarne
(Examiner)
Karstoft, Henrik
(Examiner)
Jennum, Poul Jørgen
(Supervisor)
Department of Health Technology
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/03/2019
→
28/02/2022
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Parasomnia
Medicine and Dentistry
100%
REM Sleep
Biochemistry, Genetics and Molecular Biology
100%
Rapid Eye Movement Sleep
Neuroscience
100%
Behavior Disorder
Neuroscience
100%
Patient
Medicine and Dentistry
60%
Sleep Disorder
Medicine and Dentistry
60%
Learning
Medicine and Dentistry
50%
Diagnosis
Medicine and Dentistry
50%
Research output
Publications per year
2022
2022
2022
1
Ph.D. thesis
Publications per year
Publications per year
Design of Interpretable End-to-End Deep Learning Models for Diagnosis of Sleep Disorders and Sleep Quality Evaluation
Brink-Kjær, A.
,
2022
,
DTU Health Technology
.
326 p.
Research output
:
Book/Report
›
Ph.D. thesis
Parasomnia
100%
Rapid Eye Movement Sleep
100%
Behavior Disorder
100%
Patient
60%
Diagnosis
50%