Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization. - Amer M. Johri; Krishna V. Singh; Laura E. Mantella; Luca Saba; Aditya Sharma 001; John R. Laird; Kumar Utkarsh; Inder M. Singh; Suneet K. Gupta 001; Manudeep S. Kalra; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. - Siva Skandha Sanagala; Andrew Nicolaides; Suneet K. Gupta 001; Vijaya Kumar Koppula; Luca Saba; Amer M. Johri; Manudeep S. Kalra; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. - Jasjit S. Suri; Mrinalini Bhagawati; Sudip Paul; Athanasios Protogeron; Petros P. Sfikakis; George D. Kitas; Narendra N. Khanna; Zoltan Ruzsa; Aditya M. Sharma 001; Sanjay Saxena; Gavino Faa; Kosmas I. Paraskevas; et al. (Comput. Biol. Medicine, 2022)

Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. - Sanjay Saxena; Biswajit Jena; Bibhabasu Mohapatra; Neha Gupta; Manudeep S. Kalra; Mario Scartozzi; Luca Saba; Jasjit S. Suri (Comput. Biol. Medicine, 2023)