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Page 1
Low-cost preventive screening using carotid ultrasound in patients with diabetes.
Viswanathan V, Jamthikar AD, Gupta D, Shanu N, Puvvula A, Khanna NN, Saba L, Omerzum T, Viskovic K, Mavrogeni S, Turk M, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Kitas GD, S C, Joshi S, Fiscian H, Folson AA, Wu DH, Ruzsa Z, Nicolaides A, Sharma A, Bhatt DL, Suri JS. Viswanathan V, et al. Among authors: jamthikar ad. Front Biosci (Landmark Ed). 2020 Mar 1;25(6):1132-1171. doi: 10.2741/4850. Front Biosci (Landmark Ed). 2020. PMID: 32114427 Free article. Review.
A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography.
Jamthikar A, Gupta D, Khanna NN, Araki T, Saba L, Nicolaides A, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis PP, Kitas GD, Viswanathan V, Pareek G, Miner M, Suri JS. Jamthikar A, et al. Curr Atheroscler Rep. 2019 May 1;21(7):25. doi: 10.1007/s11883-019-0788-4. Curr Atheroscler Rep. 2019. PMID: 31041615 Review.
Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?
Saba L, Jamthikar A, Gupta D, Khanna NN, Viskovic K, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Kitas GD, Viswanathan V, Nicolaides A, Bhatt DL, Suri JS. Saba L, et al. Int Angiol. 2019 Dec;38(6):451-465. doi: 10.23736/S0392-9590.19.04267-6. Epub 2019 Nov 25. Int Angiol. 2019. PMID: 31782286 Free article. Review.
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: jamthikar ad. 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
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: jamthikar ad. Echocardiography. 2019 Feb;36(2):345-361. doi: 10.1111/echo.14242. Epub 2019 Jan 9. Echocardiography. 2019. PMID: 30623485
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study.
Khanna NN, Jamthikar AD, Gupta D, Nicolaides A, Araki T, Saba L, Cuadrado-Godia E, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis PP, Kitas GD, Viswanathan V, Suri JS. Khanna NN, et al. Among authors: jamthikar ad. Comput Biol Med. 2019 Feb;105:125-143. doi: 10.1016/j.compbiomed.2019.01.002. Epub 2019 Jan 8. Comput Biol Med. 2019. PMID: 30641308 Clinical Trial.
Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.
Khanna NN, Jamthikar AD, Gupta D, Piga M, Saba L, Carcassi C, Giannopoulos AA, Nicolaides A, Laird JR, Suri HS, Mavrogeni S, Protogerou AD, Sfikakis P, Kitas GD, Suri JS. Khanna NN, et al. Among authors: jamthikar ad. Curr Atheroscler Rep. 2019 Jan 25;21(2):7. doi: 10.1007/s11883-019-0766-x. Curr Atheroscler Rep. 2019. PMID: 30684090 Review.
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: jamthikar ad. 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
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.
Cuadrado-Godia E, Jamthikar AD, Gupta D, Khanna NN, Araki T, Maniruzzaman M, Saba L, Nicolaides A, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis P, Kitas GD, Viswanathan V, Suri JS. Cuadrado-Godia E, et al. Among authors: jamthikar ad. Comput Biol Med. 2019 May;108:182-195. doi: 10.1016/j.compbiomed.2019.03.020. Epub 2019 Mar 25. Comput Biol Med. 2019. PMID: 31005010
29 results