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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. p. 280-283 (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

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. in 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., pp. 280-283. https://doi.org/10.1109/CSGB56354.2022.9865443

APA

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. In Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022 (pp. 280-283). (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSGB56354.2022.9865443

Vancouver

Bazhutina A, Zubarev S, Budanova M. Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response. In Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 280-283. (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022). doi: 10.1109/CSGB56354.2022.9865443

Author

Bazhutina, Anastasia ; Zubarev, Stepan ; Budanova, Margarita. / Accuracy of cardiac scar and fibrosis geometry in ventricular models affects electrical dyssynchrony biomarkers and ML prediction score of CRT response. Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 280-283 (Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022).

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 -

ID: 30979428