A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Q1 Stenosis Severity

Partho P.  Sengupta; Sirish  Shrestha; Nobuyuki  Kagiyama; Yasmin  Hamirani; Hemant  Kulkarni; Naveena  Yanamala; Rong Bing; Calvin W.L.  Chin; Tania Pawade; David Messika-Zeitoun; Lionel Tastet; Mylène  Shen; David E Newby; Marie-Annick Clavel; Phillippe  Pibarot; Marc R Dweck

doi:10.1016/j.jcmg.2021.03.020

A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Q1 Stenosis Severity

Partho P. Sengupta, Sirish Shrestha, Nobuyuki Kagiyama, Yasmin Hamirani, Hemant Kulkarni, Naveena Yanamala, Rong Bing, Calvin W.L. Chin, Tania Pawade, David Messika-Zeitoun, Lionel Tastet, Mylène Shen, David E Newby, Marie-Annick Clavel, Phillippe Pibarot, Marc R Dweck

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	JACC: Cardiovascular Imaging
Early online date	19 May 2021
DOIs	https://doi.org/10.1016/j.jcmg.2021.03.020
Publication status	E-pub ahead of print - 19 May 2021

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10.1016/j.jcmg.2021.03.020Licence: Creative Commons: Attribution (CC-BY)

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Sengupta, P. P., Shrestha, S., Kagiyama, N., Hamirani, Y., Kulkarni, H., Yanamala, N., Bing, R., Chin, C. W. L., Pawade, T., Messika-Zeitoun, D., Tastet, L., Shen, M., Newby, D. E., Clavel, M-A., Pibarot, P., & Dweck, M. R. (2021). A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Q1 Stenosis Severity. JACC: Cardiovascular Imaging. https://doi.org/10.1016/j.jcmg.2021.03.020

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title = "A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Q1 Stenosis Severity",

author = "Sengupta, {Partho P.} and Sirish Shrestha and Nobuyuki Kagiyama and Yasmin Hamirani and Hemant Kulkarni and Naveena Yanamala and Rong Bing and Chin, {Calvin W.L.} and Tania Pawade and David Messika-Zeitoun and Lionel Tastet and Myl{\`e}ne Shen and Newby, {David E} and Marie-Annick Clavel and Phillippe Pibarot and Dweck, {Marc R}",

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Sengupta, PP, Shrestha, S, Kagiyama, N, Hamirani, Y, Kulkarni, H, Yanamala, N, Bing, R, Chin, CWL, Pawade, T, Messika-Zeitoun, D, Tastet, L, Shen, M, Newby, DE, Clavel, M-A, Pibarot, P & Dweck, MR 2021, 'A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Q1 Stenosis Severity', JACC: Cardiovascular Imaging. https://doi.org/10.1016/j.jcmg.2021.03.020

TY - JOUR

T1 - A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Q1 Stenosis Severity

AU - Sengupta, Partho P.

AU - Shrestha, Sirish

AU - Kagiyama, Nobuyuki

AU - Hamirani, Yasmin

AU - Kulkarni, Hemant

AU - Yanamala, Naveena

AU - Bing, Rong

AU - Chin, Calvin W.L.

AU - Pawade, Tania

AU - Messika-Zeitoun, David

AU - Tastet, Lionel

AU - Shen, Mylène

AU - Newby, David E

AU - Clavel, Marie-Annick

AU - Pibarot, Phillippe

AU - Dweck, Marc R

PY - 2021/5/19

Y1 - 2021/5/19

U2 - 10.1016/j.jcmg.2021.03.020

DO - 10.1016/j.jcmg.2021.03.020

M3 - Article

SN - 1936-878X

JO - JACC: Cardiovascular Imaging

JF - JACC: Cardiovascular Imaging

ER -