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Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look.
J Cardiovasc Dev Dis. 2023 Dec 4;10(12):485. doi: 10.3390/jcdd10120485.
J Cardiovasc Dev Dis. 2023.
PMID: 38132653
Free PMC article.
Review.
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.
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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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.
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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