Carotid automated ultrasound double line extraction system (CADLES) via Edge-Flow. - Kristen M. Meiburger; Filippo Molinari; Guang Zeng; Luca Saba; Jasjit S. Suri (EMBC, 2011)

CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images. - Filippo Molinari; Kristen M. Meiburger; U. Rajendra Acharya; Guang Zeng; Paulo Sergio Rodrigues; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2011)

Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems. - U. Rajendra Acharya; Vinitha Sree S; Filippo Molinari; Luca Saba; Andrew Nicolaides; Shoaib Shafique; Jasjit S. Suri (EMBC, 2012)

Ovarian tumor characterization and classification: A class of GyneScan™ systems. - U. Rajendra Acharya; Vinitha Sree S; Luca Saba; Filippo Molinari; Stefano Guerriero; Jasjit S. Suri (EMBC, 2012)

Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems. - U. Rajendra Acharya; Vinitha Sree S; Muthu Rama Krishnan Mookiah; Luca Saba; Filippo Molinari; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; Giuseppe Ledda; Michele Anzidei; U. Rajendra Acharya; Guang Zeng; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; Guang Zeng; U. Rajendra Acharya; Mario Piga; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; U. Rajendra Acharya; Giuseppe Ledda; Guang Zeng; Sin Yee Stella Ho; Anil T. Ahuja; Suzanne C. Ho; Andrew Nicolaides; Jasjit S. Suri (Comput. Methods Programs Biomed., 2012)

Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound. - U. Rajendra Acharya; Oliver Faust; Peng Chuan Alvin Ang; Subbhuraam Vinitha Sree; Filippo Molinari; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (J. Medical Syst., 2012)

An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans. - U. Rajendra Acharya; Oliver Faust; Subbhuraam Vinitha Sree; Filippo Molinari; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2012)

Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration. - Filippo Molinari; Ganapathy Krishnamurthi; U. Rajendra Acharya; Subbhuraam Vinitha Sree; Guang Zeng; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Instrum. Meas., 2012)

Completely Automated Multiresolution Edge Snapper - A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database. - Filippo Molinari; Constantinos S. Pattichis; Guang Zeng; Luca Saba; U. Rajendra Acharya; Roberto Sanfilippo; Andrew Nicolaides; Jasjit S. Suri (IEEE Trans. Image Process., 2012)

Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. - Filippo Molinari; Vipin Gupta; Poornima Prabhakaran; Kristen M. Meiburger; Luca Saba; U. Rajendra Acharya; Giuseppe Ledda; K. V. Radha Krishna; Gagandeep Kaur Walia; Sanjay Kinra; Andrew Nicolaides; Shah Ebrahim; et al. (EMBC, 2013)

Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers. - Luca Saba; Filippo Molinari; Kristen M. Meiburger; U. Rajendra Acharya; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2013)

Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm. - U. Rajendra Acharya; Subbhuraam Vinitha Sree; Luca Saba; Filippo Molinari; Stefano Guerriero; Jasjit S. Suri (J. Digit. Imaging, 2013)

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)

Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework. - P. Krishna Kumar; P. Darshan; Sheethal Kumar; Rahul Ravindra; Jeny Rajan; Luca Saba; Jasjit S. Suri (Int. J. Imaging Syst. Technol., 2015)

Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm. - Norliza Mohd. Noor; Joel Chia Ming Than; Omar Mohd. Rijal; Rosminah M. Kassim; Ashari Yunus; Amir A. Zeki; Michele Anzidei; Luca Saba; Jasjit S. Suri (J. Medical Syst., 2015)

Qualitative analysis of small (≤2 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI. - Michele Di Martino; Michele Anzidei; Fulvio Zaccagna; Luca Saba; Sandro Bosco; Massimo Rossi; Stefano Corradini; Carlo Catalano (BMC Medical Imaging, 2016)

Speckle reduction in medical ultrasound images using an unbiased non-local means method. - P. V. Sudeep; Palanisamy Ponnusamy; Jeny Rajan; Hediyeh Baradaran; Luca Saba; Ajay Gupta; Jasjit S. Suri (Biomed. Signal Process. Control., 2016)

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)

Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm. - Luca Saba; Nilanjan Dey; Amira S. Ashour; Sourav Samanta; Siddhartha Sankar Nath; Sayan Chakraborty; João M. Sanches; Dinesh Kumar; Rui Tato Marinho; 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)

Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine. - Nilanjan Dey; Soumyo Bose; Achintya Das; Sheli Sinha Chaudhuri; Luca Saba; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (J. Medical Syst., 2016)

Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients. - Luca Saba; Joel Chia Ming Than; Norliza Mohd. Noor; Omar Mohd. Rijal; Rosminah M. Kassim; Ashari Yunus; Chuen Rue Ng; Jasjit S. Suri (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)

Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework. - Joel Chia Ming Than; Luca Saba; Norliza Mohd. Noor; Omar Mohd. Rijal; Rosminah M. Kassim; Ashari Yunus; Harman S. Suri; Michele Porcu; 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)

Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. - Venkatanareshbabu Kuppili; Mainak Biswas; Aswini Sreekumar; Harman S. Suri; Luca Saba; Damodar Reddy Edla; Rui Tato Marinho; João Miguel Sanches; Jasjit S. Suri (J. Medical Syst., 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)

Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review. - Sumit K. Banchhor; Narendra D. Londhe; Tadashi Araki; Luca Saba; Petia Radeva; Narendra N. Khanna; Jasjit S. Suri (Comput. Biol. Medicine, 2018)

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)

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm. - Mainak Biswas; Venkatanareshbabu Kuppili; Damodar Reddy Edla; Harman S. Suri; Luca Saba; Rui Tato Marinho; J. Miguel Sanches; Jasjit S. Suri (Comput. Methods Programs Biomed., 2018)

Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. - Venkatanareshbabu Kuppili; Mainak Biswas; Aswini Sreekumar; Harman S. Suri; Luca Saba; Damodar Reddy Edla; Rui Tato Marinho; J. Miguel Sanches; Jasjit S. Suri (J. Medical Syst., 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)

Effects of White Matter Hyperintensities on Brain Connectivity and Hippocampal Volume in Healthy Subjects According to Their Localization. - Michele Porcu; Annunziata Operamolla; Elisa Scapin; Paolo Garofalo; Francesco Destro; Alessandro Caneglias; Jasjit S. Suri; Andrea Falini; Giovanni Defazio; Francesco Marrosu; Luca Saba (Brain Connect., 2020)

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)

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm. - Gopal S. Tandel; Antonella Balestrieri; Tanay Jujaray; Narender N. Khanna; Luca Saba; Jasjit S. Suri (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)

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. - Dufan Wu; Kuang Gong; Chiara Daniela Arru; Fatemeh Homayounieh; Bernardo Bizzo; Varun Buch; Hui Ren 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 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)

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound. - Pankaj Kumar Jain; Neeraj Sharma; Argiris A. Giannopoulos; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2021)

Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review. - Biswajit Jena; Sanjay Saxena; Gopal Krishna Nayak; Luca Saba; Neeraj Sharma; Jasjit S. Suri (Comput. Biol. Medicine, 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)

A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. - Mohit Agarwal 003; Luca Saba; Suneet K. Gupta 001; Alessandro Carriero; Zeno Falaschi; Alessio Pasche; Pietro Danna; Ayman El-Baz; D. Subbaram Naidu; Jasjit S. Suri (J. Medical Syst., 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)

Integrative analysis for COVID-19 patient outcome prediction. - Hanqing Chao; Xi Fang 002; Jiajin Zhang; Fatemeh Homayounieh; Chiara Daniela Arru; Subba R. Digumarthy; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Luca Saba; Alessandro Carriero; Zeno Falaschi; et al. (Medical Image Anal., 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)

Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Klaudija Viskovic; Neha Suri; Azra Alizad; Ayman El-Baz; Luca Saba; Mostafa Fatemi; D. Subbaram Naidu (IEEE J. Biomed. Health Informatics, 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)

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. - Suchismita Das; Gopal Krishna Nayak; Luca Saba; Mannudeep K. Kalra; Jasjit S. Suri; Sanjay Saxena (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)

Generative Adversarial Networks in Brain Imaging: A Narrative Review. - Maria Elena Laino; Pierandrea Cancian; Letterio Salvatore Politi; Matteo Giovanni Della Porta; Luca Saba; Victor Savevski (J. Imaging, 2022)

Multimodality Imaging in Ischemic Chronic Cardiomyopathy. - Giuseppe Muscogiuri; Marco Guglielmo; Alessandra Serra; Marco Gatti; Valentina Volpato; Uwe Joseph Schoepf; Luca Saba; Riccardo Cau; Riccardo Faletti; Liam J. McGill; Carlo Nicola De Cecco; Gianluca Pontone; et al. (J. Imaging, 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)

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)

Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework. - Sanjay Saxena; Aaditya Agrawal; Prasad Dash; Biswajit Jena; Narendra N. Khanna; Sudip Paul; Mannudeep M. Kalra; Klaudija Viskovic; Mostafa M. Fouda; Luca Saba; Jasjit S. Suri (Neural Comput. Appl., 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)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 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)

The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools. - Gavino Faa; Massimo Castagnola; Luca Didaci; Fernando Coghe; Mario Scartozzi; Luca Saba; Matteo Fraschini (Algorithms, 2024)

An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images. - Matteo Fraschini; Massimo Castagnola; Luigi Barberini; Roberto Sanfilippo; Ferdinando Coghe; Luca Didaci; Riccardo Cau; Claudio Frongia; Mario Scartozzi; Luca Saba; Gavino Faa (Sensors, 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)

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)

Navigating the artificial intelligence revolution in neuro-oncology: A multidisciplinary viewpoint. - Sanjay Saxena; Soumyaranjan Panda; Ekta Tiwari; Rajesh Singh; Mostafa M. Fouda; Mannudeep K. Kalra; Ketan Kotecha; Luca Saba; Jasjit S. Suri (Neurocomputing, 2025)

Predictive techniques in medical imaging: opportunities, limitations, and ethical-economic challenges. - Luca Saba; Ernesto d'aloja (npj Digit. Medicine, 2025)

PARROT: An Open Multilingual Radiology Reports Dataset. - Bastien Le Guellec; Kokou Adambounou; Lisa C. Adams; Thibault Agripnidis; Sungsoo Ahn; Radhia Ait Chalal; Tugba Akinci D. Antonoli; Philippe Amouyel; Henrik Andersson; Raphael Bentegeac; Claudio Benzoni; Antonino Andrea Blandino; et al. (CoRR, 2025)

Optimal feature selection for medical image fusion using deep learning with transformer. - Disha Mohini Pathak; Tribhuwan Kumar Tewari; Siddharth Gupta; Mannudeep K. Kalra; Luca Saba; Andrew F. Laine; Jasjit S. Suri (Biomed. Signal Process. Control., 2026)