Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

470 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.
Saba L, Agarwal M, Patrick A, Puvvula A, Gupta SK, Carriero A, Laird JR, Kitas GD, Johri AM, Balestrieri A, Falaschi Z, Paschè A, Viswanathan V, El-Baz A, Alam I, Jain A, Naidu S, Oberleitner R, Khanna NN, Bit A, Fatemi M, Alizad A, Suri JS. Saba L, et al. Among authors: kitas gd. Int J Comput Assist Radiol Surg. 2021 Mar;16(3):423-434. doi: 10.1007/s11548-021-02317-0. Epub 2021 Feb 3. Int J Comput Assist Radiol Surg. 2021. PMID: 33532975 Free PMC article.
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: kitas gd. 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: kitas gd. 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: kitas gd. 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: kitas gd. 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: kitas gd. 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: kitas gd. 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: kitas gd. 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
The present and future of deep learning in radiology.
Saba L, Biswas M, Kuppili V, Cuadrado Godia E, Suri HS, Edla DR, Omerzu T, Laird JR, Khanna NN, Mavrogeni S, Protogerou A, Sfikakis PP, Viswanathan V, Kitas GD, Nicolaides A, Gupta A, Suri JS. Saba L, et al. Among authors: kitas gd. Eur J Radiol. 2019 May;114:14-24. doi: 10.1016/j.ejrad.2019.02.038. Epub 2019 Mar 2. Eur J Radiol. 2019. PMID: 31005165 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. Among authors: kitas gd. Curr Atheroscler Rep. 2019 May 1;21(7):25. doi: 10.1007/s11883-019-0788-4. Curr Atheroscler Rep. 2019. PMID: 31041615 Review.
470 results