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)

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)

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)

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm. - Md. Maniruzzaman; Nishith Kumar; Md. Menhazul Abedin; Md. Shaykhul Islam; Harman S. Suri; Ayman S. El-Baz; Jasjit S. Suri (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)

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)

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers. - Md. Maniruzzaman; Md. Jahanur Rahman; Md. Al-MehediHasan; Harman S. Suri; Md. Menhazul Abedin; Ayman El-Baz; 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)

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms. - Md. Maniruzzaman; Md. Jahanur Rahman; Benojir Ahammed; Md. Menhazul Abedin; Harman S. Suri; Mainak Biswas; Ayman El-Baz; Petros Bangeas; Georgios Tsoulfas; Jasjit S. Suri (Comput. Methods Programs Biomed., 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)