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Page 1
Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application.
Ann Transl Med. 2021 Jul;9(14):1206. doi: 10.21037/atm-20-7676.
Ann Transl Med. 2021.
PMID: 34430647
Free PMC article.
Review.
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework.
Skandha SS, Nicolaides A, Gupta SK, Koppula VK, Saba L, Johri AM, Kalra MS, Suri JS.
Skandha SS, et al. Among authors: koppula vk.
Comput Biol Med. 2022 Feb;141:105131. doi: 10.1016/j.compbiomed.2021.105131. Epub 2021 Dec 13.
Comput Biol Med. 2022.
PMID: 34922173
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Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.
Saba L, Sanagala SS, Gupta SK, Koppula VK, Johri AM, Sharma AM, Kolluri R, Bhatt DL, Nicolaides A, Suri JS.
Saba L, et al. Among authors: koppula vk.
Int J Cardiovasc Imaging. 2021 May;37(5):1511-1528. doi: 10.1007/s10554-020-02124-9. Epub 2021 Jan 9.
Int J Cardiovasc Imaging. 2021.
PMID: 33423132
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Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification.
Sanagala SS, Nicolaides A, Gupta SK, Koppula VK, Saba L, Agarwal S, Johri AM, Kalra MS, Suri JS.
Sanagala SS, et al. Among authors: koppula vk.
Diagnostics (Basel). 2021 Nov 15;11(11):2109. doi: 10.3390/diagnostics11112109.
Diagnostics (Basel). 2021.
PMID: 34829456
Free PMC article.
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3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0.
Skandha SS, Gupta SK, Saba L, Koppula VK, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Misra DP, Agarwal V, Sharma AM, Viswanathan V, Rathore VS, Turk M, Kolluri R, Viskovic K, Cuadrado-Godia E, Kitas GD, Nicolaides A, Suri JS.
Skandha SS, et al. Among authors: koppula vk.
Comput Biol Med. 2020 Oct;125:103958. doi: 10.1016/j.compbiomed.2020.103958. Epub 2020 Aug 16.
Comput Biol Med. 2020.
PMID: 32927257
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