A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. - Tadashi Araki; Nobutaka Ikeda; Nilanjan Dey; Sayan Chakraborty; Luca Saba; Dinesh Kumar; Elisa Cuadrado Godia; Xiaoyi Jiang 001; Ajay Gupta; Petia Radeva; John R. Laird; Andrew Nicolaides; et al. (Comput. Methods Programs Biomed., 2015)

Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial. - Luca Saba; Sumit K. Banchhor; Harman S. Suri; Narendra D. Londhe; Tadashi Araki; Nobutaka Ikeda; Klaudija Viskovic; Shoaib Shafique; John R. Laird; Ajay Gupta; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2016)

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology. - Tadashi Araki; Nobutaka Ikeda; Devarshi Shukla; Pankaj Kumar Jain; Narendra D. Londhe; Vimal K. Shrivastava; Sumit K. Banchhor; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Jasjit S. Suri (Comput. Methods Programs Biomed., 2016)

A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens. - Tadashi Araki; Nobutaka Ikeda; Devarshi Shukla; Narendra D. Londhe; Vimal K. Shrivastava; Sumit K. Banchhor; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Jasjit S. Suri (Comput. Methods Programs Biomed., 2016)

Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach. - Sumit K. Banchhor; Tadashi Araki; Narendra D. Londhe; Nobutaka Ikeda; Petia Radeva; Ayman El-Baz; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Jasjit S. Suri (Comput. Methods Programs Biomed., 2016)

Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos. - Tadashi Araki; Sumit K. Banchhor; Narendra D. Londhe; Nobutaka Ikeda; Petia Radeva; Devarshi Shukla; Luca Saba; Antonella Balestrieri; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Jasjit S. Suri (J. Medical Syst., 2016)

Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches. - Tadashi Araki; P. Krishna Kumar; Harman S. Suri; Nobutaka Ikeda; Ajay Gupta; Luca Saba; Jeny Rajan; Francesco Lavra; Aditya M. Sharma 001; Shoaib Shafique; Andrew Nicolaides; John R. Laird; et al. (J. Medical Syst., 2016)

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. - Tadashi Araki; Pankaj Kumar Jain; Harman S. Suri; Narendra D. Londhe; Nobutaka Ikeda; Ayman El-Baz; Vimal K. Shrivastava; Luca Saba; Andrew Nicolaides; Shoaib Shafique; John R. Laird; Ajay Gupta; et al. (Comput. Biol. Medicine, 2017)

Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm. - Sumit K. Banchhor; Narendra D. Londhe; Tadashi Araki; Luca Saba; Petia Radeva; John R. Laird; Jasjit S. Suri (Comput. Biol. Medicine, 2017)

Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos. - Sumit K. Banchhor; Narendra D. Londhe; Tadashi Araki; Luca Saba; Petia Radeva; John R. Laird; Jasjit S. Suri (Comput. Biol. Medicine, 2017)

Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials. - Luca Saba; Sumit K. Banchhor; Narendra D. Londhe; Tadashi Araki; John R. Laird; Ajay Gupta; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2017)

Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. - Nobutaka Ikeda; Nilanjan Dey; Aditya Sharma 001; Ajay Gupta; Soumyo Bose; Suvojit Acharjee; Shoaib Shafique; Elisa Cuadrado Godia; Tadashi Araki; Luca Saba; John R. Laird; Andrew Nicolaides; et al. (Comput. Methods Programs Biomed., 2017)

Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm. - Luca Saba; Pankaj Kumar Jain; Harman S. Suri; Nobutaka Ikeda; Tadashi Araki; Bikesh Kumar Singh; Andrew Nicolaides; Shoaib Shafique; Ajay Gupta; John R. Laird; Jasjit S. Suri (J. Medical Syst., 2017)

Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach. - P. Krishna Kumar; Tadashi Araki; Jeny Rajan; Luca Saba; Francesco Lavra; Nobutaka Ikeda; Aditya M. Sharma 001; Shoaib Shafique; Andrew Nicolaides; John R. Laird; Ajay Gupta; Jasjit S. Suri (Medical Biol. Eng. Comput., 2017)

Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort. - Mainak Biswas; Venkatanareshbabu Kuppili; Tadashi Araki; Damodar Reddy Edla; Elisa Cuadrado Godia; Luca Saba; Harman S. Suri; Tomaz Omerzu; John R. Laird; Narendra N. Khanna; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2018)

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. - Elisa Cuadrado Godia; Md. Maniruzzaman; Tadashi Araki; Anudeep Puvvula; Md. Jahanur Rahman; Luca Saba; Harman S. Suri; Ajay Gupta; Sumit K. Banchhor; Jagjit S. Teji; Tomaz Omerzu; Narendra N. Khanna; et al. (Comput. Biol. Medicine, 2018)

State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound. - P. Krishna Kumar; Tadashi Araki; Jeny Rajan; John R. Laird; Andrew Nicolaides; Jasjit S. Suri (Comput. Methods Programs Biomed., 2018)

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. - Elisa Cuadrado Godia; Ankush D. Jamthikar; Deep Gupta; Narendra N. Khanna; Tadashi Araki; Md. Maniruzzaman; Luca Saba; Andrew Nicolaides; Aditya Sharma 001; Tomaz Omerzu; Harman S. Suri; Ajay Gupta; et al. (Comput. Biol. Medicine, 2019)

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. - Narendra N. Khanna; Ankush D. Jamthikar; Deep Gupta; Andrew Nicolaides; Tadashi Araki; Luca Saba; Elisa Cuadrado Godia; Aditya Sharma 001; Tomaz Omerzu; Harman S. Suri; Ajay Gupta; Sophie Mavrogeni; et al. (Comput. Biol. Medicine, 2019)

Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk. - Mainak Biswas; Venkatanareshbabu Kuppili; Luca Saba; Damodar Reddy Edla; Harman S. Suri; Aditya Sharma 001; Elisa Cuadrado Godia; John R. Laird; Andrew Nicolaides; Jasjit S. Suri (Medical Biol. Eng. Comput., 2019)

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. - Narendra N. Khanna; Ankush D. Jamthikar; Deep Gupta; Tadashi Araki; Matteo Piga; Luca Saba; Carlo Carcassi; Andrew Nicolaides; John R. Laird; Harman S. Suri; Ajay Gupta; Sophie Mavrogeni; et al. (Medical Biol. Eng. Comput., 2019)

Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment. - Mainak Biswas; Luca Saba; Shubhro Chakrabartty; Narender N. Khanna; Hanjung Song; Harman S. Suri; Petros P. Sfikakis; Sophie Mavrogeni; Klaudija Viskovic; John R. Laird; Elisa Cuadrado Godia; Andrew Nicolaides; et al. (Comput. Biol. Medicine, 2020)

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)

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 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)

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)

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)

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)

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. - Sushant Agarwal; Sanjay Saxena; Alessandro Carriero; Gian Luca Chabert; Gobinath Ravindran; Sudip Paul; John R. Laird; Deepak Garg 002; Mostafa Fatemi; Lopamudra Mohanty; Arun Kumar Dubey; Rajesh Singh; et al. (Frontiers Artif. Intell., 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)

Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. - Archana Bathula; Suneet K. Gupta 001; Suresh Merugu; Luca Saba; Narendra N. Khanna; John R. Laird; Siva Skandha Sanagala; Rajesh Singh; Deepak Garg 002; Mostafa M. Fouda; Jasjit S. Suri (Artif. Intell. Rev., 2024)

A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection. - Jakiur Rahman; Jaskaran Singh; Soumen Nayak; Biswajit Jena; Lopamudra Mohanty; Narpinder Singh; John R. Laird; Rajesh Singh; Deepak Garg 002; Narendra N. Khanna; Mostafa M. Fouda; Luca Saba; et al. (Appl. Artif. Intell., 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)