Harman S. Suri

According to our database, Harman S. Suri authored at least 18 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Aditya Sharma, Vijay Viswanathan, Athanasios Protogerou, George D. Kitas, Gyan Pareek, Martin Miner, Jasjit S. Suri

Comput. Biol. Medicine, 2020

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, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri

Medical Biol. Eng. Comput., 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, Elisa Cuadrado Godia, John R. Laird, Andrew Nicolaides, Jasjit S. Suri

Medical Biol. Eng. Comput., 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

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, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Vijay Viswanathan, Jasjit S. Suri

Comput. Biol. Medicine, 2019

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, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri

Comput. Biol. Medicine, 2019

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

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

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

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, John R. Laird, Andrew Nicolaides, Sophie Mavrogeni, George D. Kitas, 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

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

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

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

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

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, Jasjit S. Suri

Comput. Biol. Medicine, 2017

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, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Jasjit S. Suri

J. Medical Syst., 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