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Henning Dathe
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 6
Top Topics
Deep Learning
Atrial Fibrillation
Computed Tomography Angiography
Feature Extraction
Top Venues
CoRR
MIE
IEEE J. Biomed. Health Informatics
GMDS
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Publications
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Theresa Bender
,
Jacqueline Michelle Beinecke
,
Dagmar Krefting
,
Carolin Müller
,
Henning Dathe
,
Tim Seidler
,
Nicolai Spicher
,
Anne-Christin Hauschild
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.
IEEE J. Biomed. Health Informatics
28 (4) (2024)
Philip Hempel
,
Theresa Bender
,
Ennio Idrobo-Ávila
,
Henning Dathe
,
Dagmar Krefting
,
Tim Kacprowski
,
Nicolai Spicher
Quantifying Alterations Over Time in ST-Segment/T-Wave Amplitudes During Elective Percutaneous Coronary Intervention.
CinC
(2023)
Theresa Bender
,
Philip Gemke
,
Ennio Idrobo-Ávila
,
Henning Dathe
,
Dagmar Krefting
,
Nicolai Spicher
Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG.
MIE
(2023)
Theresa Bender
,
Philip Gemke
,
Ennio Idrobo-Ávila
,
Henning Dathe
,
Dagmar Krefting
,
Nicolai Spicher
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG.
CoRR
(2023)
Theresa Bender
,
Jacqueline Michelle Beinecke
,
Dagmar Krefting
,
Carolin Müller
,
Henning Dathe
,
Tim Seidler
,
Nicolai Spicher
,
Anne-Christin Hauschild
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.
CoRR
(2022)
Heiko Scheel
,
Henning Dathe
,
Thomas Franke
,
Tabea Scharfe
,
Thorsten Rottmann
A Privacy Preserving Approach to Feasibility Analyses on Distributed Data Sources in Biomedical Research.
GMDS
(2019)