Morphology Features Self-Learned by Explainable Deep Learning for Atrial Fibrillation Detection Correspond to Fibrillatory Waves

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Details

Original languageEnglish
Title of host publication2024 Computing in Cardiology Conference
Place of PublicationKarlsruhe
Pages1-4
Number of pages4
Volume51
Publication statusPublished - 2024
Peer-reviewedYes

Conference

Title51st Computing in Cardiology Conference
Abbreviated titleCinC 2024
Duration8 - 11 September 2024
Website
Degree of recognitionInternational event
LocationKarlsruher Institut für Technologie
CityKarlsruhe
CountryGermany

External IDs

ORCID /0000-0003-4012-0608/work/175220129
ORCID /0000-0002-1984-580X/work/175220155

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards