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 |
|---|---|
| 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 |
|---|---|
| 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 |
|---|---|
| ORCID | /0000-0002-1984-580X/work/175220155 |