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 -