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Peer-reviewedLicence not statedJRSM Cardiovascular Disease

A multimodal optimisation framework for cardiac electrophysiology model personalisation using computed tomography and 12-lead electrocardiogram: Algorithm development and validation

  • Buntheng Ly1
  • Nicolas Cedilnik2
  • Mihaela Pop2
  • Josselin Duchateau1,3
  • Frédéric Sacher1,3
  • Pierre Jaïs3
  • Hubert Cochet1,3
  • Maxime Sermesant1,2
  1. 1Pôle Sciences de l'Imagerie, Institut Hospitalo-Universitaire Liryc, Bordeaux, France
  2. 2Eauipe Epione, Centre Inria Université Nice Côte d’Azur, Sophia Antipolis, France
  3. 3Pôle Imagerie Médicale, Pôle Cardio-thoracique, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
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Cite

BibTeXRIS
BibTeX
@article{ly2026multimodal,
  title = {{A multimodal optimisation framework for cardiac electrophysiology model personalisation using computed tomography and 12-lead electrocardiogram: Algorithm development and validation}},
  author = {Buntheng Ly and Nicolas Cedilnik and Mihaela Pop and Josselin Duchateau and Frédéric Sacher and Pierre Jaïs and Hubert Cochet and Maxime Sermesant},
  journal = {JRSM Cardiovascular Disease},
  year = {2026},
  month = sep,
  doi = {10.1177/20480040261486101},
  url = {https://doi.org/10.1177/20480040261486101},
}
RIS
TY  - JOUR
TI  - A multimodal optimisation framework for cardiac electrophysiology model personalisation using computed tomography and 12-lead electrocardiogram: Algorithm development and validation
AU  - Buntheng Ly
AU  - Nicolas Cedilnik
AU  - Mihaela Pop
AU  - Josselin Duchateau
AU  - Frédéric Sacher
AU  - Pierre Jaïs
AU  - Hubert Cochet
AU  - Maxime Sermesant
PY  - 2026
DA  - 2026/09/21
JO  - JRSM Cardiovascular Disease
DO  - 10.1177/20480040261486101
UR  - https://doi.org/10.1177/20480040261486101
SN  - 2048-0040
ER  -