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Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0.
Khanna NN, Jamthikar AD, Gupta D, Araki T, Piga M, Saba L, Carcassi C, Nicolaides A, Laird JR, Suri HS, Gupta A, Mavrogeni S, Protogerou A, Sfikakis P, Kitas GD, Suri JS. Khanna NN, et al. Among authors: suri hs, suri js. Med Biol Eng Comput. 2019 Jul;57(7):1553-1566. doi: 10.1007/s11517-019-01975-2. Epub 2019 Apr 15. Med Biol Eng Comput. 2019. PMID: 30989577
Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial.
Saba L, Banchhor SK, Suri HS, Londhe ND, Araki T, Ikeda N, Viskovic K, Shafique S, Laird JR, Gupta A, Nicolaides A, Suri JS. Saba L, et al. Among authors: suri hs, suri js. Comput Biol Med. 2016 Aug 1;75:217-34. doi: 10.1016/j.compbiomed.2016.06.010. Epub 2016 Jun 10. Comput Biol Med. 2016. PMID: 27318571 Clinical Trial.
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.
Kotsis V, Jamthikar AD, Araki T, Gupta D, Laird JR, Giannopoulos AA, Saba L, Suri HS, Mavrogeni S, Kitas GD, Viskovic K, Khanna NN, Gupta A, Nicolaides A, Suri JS. Kotsis V, et al. Among authors: suri hs, suri js. Diabetes Res Clin Pract. 2018 Sep;143:322-331. doi: 10.1016/j.diabres.2018.07.028. Epub 2018 Jul 27. Diabetes Res Clin Pract. 2018. PMID: 30059757
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.
Cuadrado-Godia E, Maniruzzaman M, Araki T, Puvvula A, Jahanur Rahman M, Saba L, Suri HS, Gupta A, Banchhor SK, Teji JS, Omerzu T, Khanna NN, Laird JR, Nicolaides A, Mavrogeni S, Kitas GD, Suri JS; Fellow AIMBE. Cuadrado-Godia E, et al. Among authors: suri hs, suri js. Comput Biol Med. 2018 Oct 1;101:128-145. doi: 10.1016/j.compbiomed.2018.08.008. Epub 2018 Aug 8. Comput Biol Med. 2018. PMID: 30138774
Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study.
Khanna NN, Jamthikar AD, Araki T, Gupta D, Piga M, Saba L, Carcassi C, Nicolaides A, Laird JR, Suri HS, Gupta A, Mavrogeni S, Kitas GD, Suri JS. Khanna NN, et al. Among authors: suri hs, suri js. Echocardiography. 2019 Feb;36(2):345-361. doi: 10.1111/echo.14242. Epub 2019 Jan 9. Echocardiography. 2019. PMID: 30623485
43 results