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Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization.
Comput Biol Med. 2022 Nov;150:106018. doi: 10.1016/j.compbiomed.2022.106018. Epub 2022 Sep 10.
Comput Biol Med. 2022.
PMID: 36174330
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: kalra ms.
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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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: kalra ms.
Diagnostics (Basel). 2021 Nov 15;11(11):2109. doi: 10.3390/diagnostics11112109.
Diagnostics (Basel). 2021.
PMID: 34829456
Free PMC article.
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