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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
Automated carotid artery intima layer regional segmentation.
Meiburger KM, Molinari F, Acharya UR, Saba L, Rodrigues P, Liboni W, Nicolaides A, Suri JS. Meiburger KM, et al. Among authors: suri js. Phys Med Biol. 2011 Jul 7;56(13):4073-90. doi: 10.1088/0031-9155/56/13/021. Epub 2011 Jun 21. Phys Med Biol. 2011. PMID: 21693788
Completely automated multiresolution edge snapper--a new technique for an accurate carotid ultrasound IMT measurement: clinical validation and benchmarking on a multi-institutional database.
Molinari F, Pattichis CS, Zeng G, Saba L, Acharya UR, Sanfilippo R, Nicolaides A, Suri JS. Molinari F, et al. Among authors: suri js. IEEE Trans Image Process. 2012 Mar;21(3):1211-22. doi: 10.1109/TIP.2011.2169270. Epub 2011 Sep 23. IEEE Trans Image Process. 2012. PMID: 21947523
410 results