Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. - Ankush D. Jamthikar; Deep Gupta; Luca Saba; Narendra N. Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R. Laird; Naveed Sattar; Amer M. Johri; Gyan Pareek; Martin Miner; Petros P. Sfikakis; et al. (Comput. Biol. Medicine, 2020)

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. - Siva Skandha Sanagala; Suneet K. Gupta 001; Luca Saba; Vijaya Kumar Koppula; Amer M. Johri; Narendra N. Khanna; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Petros P. Sfikakis; Athanasios Protogerou; et al. (Comput. Biol. Medicine, 2020)

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review. - Jasjit S. Suri; Anudeep Puvvula; Mainak Biswas; Misha Majhail; Luca Saba; Gavino Faa; Inder M. Singh; Ronald Oberleitner; Monika Turk; Paramjit S. Chadha; Amer M. Johri; J. Miguel Sanches; et al. (Comput. Biol. Medicine, 2020)

Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. - Ankush D. Jamthikar; Deep Gupta; Amer M. Johri; Laura E. Mantella; Luca Saba; Raghu Kolluri; Aditya M. Sharma 001; Vijay Viswanathan 001; Andrew Nicolaides; Jasjit S. Suri (J. Medical Syst., 2020)

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. - Luca Saba; Mohit Agarwal 003; Anubhav Patrick; Anudeep Puvvula; Suneet K. Gupta 001; Alessandro Carriero; John R. Laird; George D. Kitas; Amer M. Johri; Antonella Balestrieri; Zeno Falaschi; Alessio Pasche; et al. (Int. J. Comput. Assist. Radiol. Surg., 2021)

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Mainak Biswas; Luca Saba; Arindam Bit; Gopal S. Tandel; Mohit Agarwal 003; Anubhav Patrick; Gavino Faa; Inder M. Singh; et al. (Comput. Biol. Medicine, 2021)

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework. - Mainak Biswas; Luca Saba; Tomaz Omerzu; Amer M. Johri; Narendra N. Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Antonella Balestrieri; Petros P. Sfikakis; et al. (J. Digit. Imaging, 2021)

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Amer M. Johri; Narendra N. Khanna; Sophie Mavrogeni; John R. Laird; Gyan Pareek; Martin Miner; Petros P. Sfikakis; Athanasios Protogerou; Aditya M. Sharma 001; et al. (Medical Biol. Eng. Comput., 2021)

A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. - Luca Saba; Siva Skandha Sanagala; Suneet K. Gupta 001; Vijaya Kumar Koppula; John R. Laird; Vijay Viswanathan 001; Miguel J. Sanches; George D. Kitas; Amer M. Johri; Neeraj Sharma; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2021)

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. - Mohit Agarwal 003; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet K. Gupta 001; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; et al. (Comput. Biol. Medicine, 2022)

Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment. - Pankaj Kumar Jain; Neeraj Sharma; Mannudeep K. Kalra; Amer M. Johri; Luca Saba; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study. - Ankush D. Jamthikar; Deep Gupta; Amer M. Johri; Laura E. Mantella; Luca Saba; Jasjit S. Suri (Comput. Biol. Medicine, 2022)

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)

Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound. - Ankush D. Jamthikar; Deep Gupta; Laura E. Mantella; Luca Saba; Amer M. Johri; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2022)

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. - Jasjit S. Suri; Mrinalini Bhagawati; Sushant Agarwal; Sudip Paul; Amit Pandey; Suneet K. Gupta 001; Luca Saba; Kosmas I. Paraskevas; Narendra N. Khanna; John R. Laird; Amer M. Johri; Manudeep K. Kalra; et al. (IEEE Access, 2023)

MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment. - Mainak Biswas; Luca Saba; Mannudeep K. Kalra; Rajesh Singh; José Fernandes e Fernandes; Vijay Viswanathan 001; John R. Laird; Laura E. Mantella; Amer M. Johri; Mostafa M. Fouda; Jasjit S. Suri (Comput. Medical Imaging Graph., 2024)

Artificial intelligence bias in medical system designs: a systematic review. - Ashish Kumar; Vivekanand Aelgani; Rubeena Vohra; Suneet K. Gupta 001; Mrinalini Bhagawati; Sudip Paul; Luca Saba; Neha Suri; Narendra N. Khanna; John R. Laird; Amer M. Johri; Manudeep Kalra; et al. (Multim. Tools Appl., 2024)

Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification. - Mrinalini Bhagawati; Siddharth Gupta; Sudip Paul; Laura E. Mantella; Amer M. Johri; John R. Laird; Ekta Tiwari; Narendra N. Khanna; Andrew Nicolaides; Rajesh Singh; Mustafa Al-Maini; Luca Saba; et al. (Biomed. Signal Process. Control., 2025)

Artificial intelligence-based multiclass diabetes risk stratification for big data embedded with explainability: From machine learning to attention models. - Ekta Tiwari; Siddharth Gupta; Anudeep Pavulla; Mustafa Al-Maini; Rajesh Singh; Esma R. Isenovic; Sumit Chaudhary; John L. Laird; Laura E. Mantella; Amer M. Johri; Luca Saba; Jasjit S. Suri (Biomed. Signal Process. Control., 2025)