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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Deep-learning-based electrode action potential mapping from annotation-free unipolar electrograms for substrate characterization in atrial fibrillation

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BibTeX
@article{seno2026deeplearningbased,
  title = {{Deep-learning-based electrode action potential mapping from annotation-free unipolar electrograms for substrate characterization in atrial fibrillation}},
  author = {Hiroshi Seno and Toshiya Kojima and Tsukasa Oshima and Kenichiro Yamagata and Masatoshi Yamazaki and Ichiro Sakuma and Katsuhito Fujiu and Naoki Tomii},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-77057-9},
  url = {https://www.nature.com/articles/s41598-026-77057-9},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Deep-learning-based electrode action potential mapping from annotation-free unipolar electrograms for substrate characterization in atrial fibrillation
AU  - Hiroshi Seno
AU  - Toshiya Kojima
AU  - Tsukasa Oshima
AU  - Kenichiro Yamagata
AU  - Masatoshi Yamazaki
AU  - Ichiro Sakuma
AU  - Katsuhito Fujiu
AU  - Naoki Tomii
PY  - 2026
DA  - 2026/10/25
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77057-9
UR  - https://www.nature.com/articles/s41598-026-77057-9
SN  - 2045-2322
ER  -