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Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response. /
Bazhutina, Anastasia; Zubarev, Stepan; Budanova, Margarita.
Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 280-283 (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022).
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Bazhutina, A, Zubarev, S & Budanova, M 2022,
Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response. в
Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022, Institute of Electrical and Electronics Engineers Inc., стр. 280-283.
https://doi.org/10.1109/CSGB56354.2022.9865443
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BibTeX
@inproceedings{71308a20666a4ba49aedebf35f5b4e71,
title = "Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response",
keywords = "cardiac resynchronization therapy, heart, heart electrophysiology, mathematical modelling, personalized fibrosis models",
author = "Anastasia Bazhutina and Stepan Zubarev and Margarita Budanova",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.",
year = "2022",
doi = "10.1109/CSGB56354.2022.9865443",
language = "English",
series = "Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "280--283",
booktitle = "Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022",
address = "United States",
}
RIS
TY - GEN
T1 - Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response
AU - Bazhutina, Anastasia
AU - Zubarev, Stepan
AU - Budanova, Margarita
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
KW - cardiac resynchronization therapy
KW - heart
KW - heart electrophysiology
KW - mathematical modelling
KW - personalized fibrosis models
UR - http://www.scopus.com/inward/record.url?scp=85138462425&partnerID=8YFLogxK
U2 - 10.1109/CSGB56354.2022.9865443
DO - 10.1109/CSGB56354.2022.9865443
M3 - Conference contribution
AN - SCOPUS:85138462425
T3 - Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022
SP - 280
EP - 283
BT - Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022
PB - Institute of Electrical and Electronics Engineers Inc.
ER -
