Morphology Features Self-Learned by Explainable Deep Learning for Atrial Fibrillation Detection Correspond to Fibrillatory Waves
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Details
Original language | English |
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Title of host publication | 2024 Computing in Cardiology Conference |
Place of Publication | Karlsruhe |
Pages | 1-4 |
Number of pages | 4 |
Volume | 51 |
Publication status | Published - 2024 |
Peer-reviewed | Yes |
Conference
Title | 51st Computing in Cardiology Conference |
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Abbreviated title | CinC 2024 |
Duration | 8 - 11 September 2024 |
Website | |
Degree of recognition | International event |
Location | Karlsruher Institut für Technologie |
City | Karlsruhe |
Country | Germany |
External IDs
ORCID | /0000-0003-4012-0608/work/175220129 |
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ORCID | /0000-0002-1984-580X/work/175220155 |