"ECGI Periodicity Unraveled: A Deep Learning Approach for the Visualization ..."

Alexander Lacki et al. (2021)

> Home

Details and statistics

DOI: 10.23919/CINC53138.2021.9662803

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cinc/LackiHGC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cinc/LackiHGC21
Alexander Lacki, Ismael Hernández-Romero, María S. Guillem, Andreu M. Climent:
ECGI Periodicity Unraveled: A Deep Learning Approach for the Visualization of Periodic Spatiotemporal Patterns in Atrial Fibrillation Patients. CinC 2021: 1-4

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.