Jasjit S. Suri

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 77

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

J. Medical Syst.

Medical Biol. Eng. Comput.

Publications

Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri
Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. Artif. Intell. Rev. 57 (9) (2024)
Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, Suneet K. Gupta, Mrinalini Bhagawati, Sudip Paul, Luca Saba, Neha Suri, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu, Jasjit S. Suri
Artificial intelligence bias in medical system designs: a systematic review. Multim. Tools Appl. 83 (6) (2024)
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun K. Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. 7 (2024)
Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, Neha Gupta, Manudeep S. Kalra, Mario Scartozzi, Luca Saba, Jasjit S. Suri
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. Comput. Biol. Medicine 153 (2023)
Naresh Kumar Nagwani, Jasjit S. Suri
An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review. Int. J. Inf. Manag. Data Insights 3 (1) (2023)
Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu
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. IEEE Access 11 (2023)
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
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. Neural Comput. Appl. 35 (18) (2023)
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios Protogeron, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Comput. Biol. Medicine 142 (2022)
Siva Skandha Sanagala, Andrew Nicolaides, Suneet Kr. Gupta, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Comput. Biol. Medicine 141 (2022)
Ankush D. Jamthikar, Deep Gupta, Laura E. Mantella, Luca Saba, Amer M. Johri, Jasjit S. Suri
Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound. IEEE Trans. Instrum. Meas. 71 (2022)
Mainak Biswas, Jasjit S. Suri
Deep-learning Based Autoencoder Model for Label Distribution Learning. CICBA (2022)
Neha Gupta, Suneet K. Gupta, Rajesh K. Pathak, Vanita Jain, Parisa Rashidi, Jasjit S. Suri
Human activity recognition in artificial intelligence framework: a narrative review. Artif. Intell. Rev. 55 (6) (2022)
Siva Skandha Sanagala, Mohit Agarwal, Kumar Utkarsh, Suneet K. Gupta, Vijaya Kumar Koppula, Jasjit S. Suri
A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data. Neural Comput. Appl. 34 (23) (2022)
Pankaj K. Jain, Neeraj Sharma, Mannudeep K. Kalra, Amer M. Johri, Luca Saba, Jasjit S. Suri
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. Comput. Biol. Medicine 149 (2022)
Amer M. Johri, Krishna V. Singh, Laura E. Mantella, Luca Saba, Aditya Sharma, John R. Laird, Kumar Utkarsh, Inder M. Singh, Suneet K. Gupta, Manudeep S. Kalra, Jasjit S. Suri
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization. Comput. Biol. Medicine 150 (2022)
Jagjit S. Teji, Suneet Jain, Suneet K. Gupta, Jasjit S. Suri
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death. Comput. Biol. Medicine 147 (2022)
Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Jasjit S. Suri
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study. Comput. Biol. Medicine 140 (2022)
Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri
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. Comput. Biol. Medicine 146 (2022)
Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. Comput. Biol. Medicine 143 (2022)
Luca Saba, Siva Skandha Sanagala, Suneet Kr. Gupta, Vijaya Kumar Koppula, John R. Laird, Vijay Viswanathan, Miguel J. Sanches, George D. Kitas, Amer M. Johri, Neeraj Sharma, Andrew Nicolaides, Jasjit S. Suri
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Trans. Instrum. Meas. 70 (2021)
Luca Saba, Mohit Agarwal, Anubhav Patrick, Anudeep Puvvula, Suneet Kr. Gupta, Alessandro Carriero, John R. Laird, George D. Kitas, Amer M. Johri, Antonella Balestrieri, Zeno Falaschi, Alessio Pasche, Vijay Viswanathan, Ayman El-Baz, Iqbal Alam, Abhinav Jain, D. Subbaram Naidu, Ronald Oberleitner, Narendra N. Khanna, Arindam Bit, Mostafa Fatemi, Azra Alizad, Jasjit S. Suri
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int. J. Comput. Assist. Radiol. Surg. 16 (3) (2021)
Mohit Agarwal, Luca Saba, Suneet Kr. Gupta, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Aditya M. Sharma, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri
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. Medical Biol. Eng. Comput. 59 (3) (2021)
Pankaj K. Jain, Neeraj Sharma, Argiris A. Giannopoulos, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound. Comput. Biol. Medicine 136 (2021)
Jasjit S. Suri, Sushant Agarwal, Suneet Kr. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J. Biomed. Health Informatics 25 (11) (2021)
Jasjit S. Suri, Sushant Agarwal, Suneet Kr. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput. Biol. Medicine 130 (2021)
Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Luca Saba, Neeraj Sharma, Jasjit S. Suri
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review. Comput. Biol. Medicine 137 (2021)
Mohit Agarwal, Luca Saba, Suneet Kr. Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Pietro Danna, Ayman El-Baz, D. Subbaram Naidu, Jasjit S. Suri
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. J. Medical Syst. 45 (3) (2021)
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, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Aditya M. Sharma, Vijay Viswanathan, Zoltan Ruzsa, Andrew Nicolaides, Jasjit S. Suri
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework. J. Digit. Imaging 34 (3) (2021)
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, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, D. Subbaram Naidu
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. Comput. Biol. Medicine 124 (2020)
Venkatanareshbabu Kuppili, Mainak Biswas, Damodar Reddy Edla, K. J. Ravi Prasad, Jasjit S. Suri
A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm. IEEE Trans. Emerg. Top. Comput. Intell. 4 (2) (2020)
Siva Skandha Sanagala, Suneet Kr. Gupta, 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, Durga Prasanna Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Jasjit S. Suri
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. Comput. Biol. Medicine 125 (2020)
Gopal S. Tandel, Antonella Balestrieri, Tanay Jujaray, Narender N. Khanna, Luca Saba, Jasjit S. Suri
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm. Comput. Biol. Medicine 122 (2020)
Michele Porcu, Annunziata Operamolla, Elisa Scapin, Paolo Garofalo, Francesco Destro, Alessandro Caneglias, Jasjit S. Suri, Andrea Falini, Giovanni Defazio, Francesco Marrosu, Luca Saba
Effects of White Matter Hyperintensities on Brain Connectivity and Hippocampal Volume in Healthy Subjects According to Their Localization. Brain Connect. 10 (8) (2020)
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 M. Sharma, Vijay Viswanathan, Athanasios Protogerou, George D. Kitas, Gyan Pareek, Martin Miner, Jasjit S. Suri
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. Comput. Biol. Medicine 123 (2020)
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, Athanasios Protogerou, Vijay Viswanathan, Aditya M. Sharma, George D. Kitas, Andrew Nicolaides, Raghu Kolluri, Jasjit S. Suri
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. Comput. Biol. Medicine 126 (2020)
Mainak Biswas, Shubhro Chakrabartty, Jasjit S. Suri, Hanjung Song
A novel statistical mechanics-based metric for characterization of text documents. Comput. Electr. Eng. 87 (2020)
Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Raghu Kolluri, Aditya M. Sharma, Vijay Viswanathan, Andrew Nicolaides, Jasjit S. Suri
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J. Medical Syst. 44 (12) (2020)
Saurabh Kumar Srivastava, Sandeep Kumar Singh, Jasjit S. Suri
Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm. Comput. Methods Programs Biomed. 172 (2019)
Mainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, Damodar Reddy Edla, Harman S. Suri, Aditya M. Sharma, Elisa Cuadrado Godia, John R. Laird, Andrew Nicolaides, Jasjit S. Suri
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk. Medical Biol. Eng. Comput. 57 (2) (2019)
Elisa Cuadrado Godia, Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna, Tadashi Araki, Md. Maniruzzaman, Luca Saba, Andrew Nicolaides, Aditya M. 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
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Comput. Biol. Medicine 108 (2019)
Asmita Yadav, Sandeep Kumar Singh, Jasjit S. Suri
Ranking of software developers based on expertise score for bug triaging. Inf. Softw. Technol. 112 (2019)
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
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms. Comput. Methods Programs Biomed. 176 (2019)
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
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. Medical Biol. Eng. Comput. 57 (7) (2019)
Narendra N. Khanna, Ankush D. Jamthikar, Deep Gupta, Andrew Nicolaides, Tadashi Araki, Luca Saba, Elisa Cuadrado Godia, Aditya M. 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
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. Comput. Biol. Medicine 105 (2019)
Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri, Md. Menhazul Abedin, Ayman El-Baz, Jasjit S. Suri
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers. J. Medical Syst. 42 (5) (2018)
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
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Comput. Biol. Medicine 101 (2018)
Saurabh Kumar Srivastava, Sandeep Kumar Singh, Jasjit S. Suri
Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text. J. Medical Syst. 42 (5) (2018)
Mainak Biswas, Venkatanareshbabu Kuppili, Damodar Reddy Edla, Harman S. Suri, Luca Saba, Rui Tato Marinho, J. Miguel Sanches, Jasjit S. Suri
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm. Comput. Methods Programs Biomed. 155 (2018)
Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, Narendra N. Khanna, Jasjit S. Suri
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review. Comput. Biol. Medicine 101 (2018)
Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S. Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, J. Miguel Sanches, Jasjit S. Suri
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. J. Medical Syst. 42 (1) (2018)
P. Krishna Kumar, Tadashi Araki, Jeny Rajan, John R. Laird, Andrew Nicolaides, Jasjit S. Suri
State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound. Comput. Methods Programs Biomed. 163 (2018)
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
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort. Comput. Biol. Medicine 98 (2018)
Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S. Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, João Miguel Sanches, Jasjit S. Suri
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. J. Medical Syst. 41 (10) (2017)
Tadashi Araki, Pankaj K. 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
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. Comput. Biol. Medicine 80 (2017)
P. Krishna Kumar, Tadashi Araki, Jeny Rajan, Luca Saba, Francesco Lavra, Nobutaka Ikeda, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Ajay Gupta, Jasjit S. Suri
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach. Medical Biol. Eng. Comput. 55 (8) (2017)
Luca Saba, Pankaj K. Jain, Harman S. Suri, Nobutaka Ikeda, Tadashi Araki, Bikesh Kumar Singh, Andrew Nicolaides, Shoaib Shafique, Ajay Gupta, John R. Laird, Jasjit S. Suri
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm. J. Medical Syst. 41 (6) (2017)
Nobutaka Ikeda, Nilanjan Dey, Aditya M. Sharma, Ajay Gupta, Soumyo Bose, Suvojit Acharjee, Shoaib Shafique, Elisa Cuadrado Godia, Tadashi Araki, Luca Saba, John R. Laird, Andrew Nicolaides, Jasjit S. Suri
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. Comput. Methods Programs Biomed. 141 (2017)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. Comput. Methods Programs Biomed. 150 (2017)
Luca Saba, Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, John R. Laird, Ajay Gupta, Andrew Nicolaides, Jasjit S. Suri
Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials. Comput. Biol. Medicine 91 (2017)
Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm. Comput. Biol. Medicine 91 (2017)
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
Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework. Comput. Biol. Medicine 89 (2017)
Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos. Comput. Biol. Medicine 84 (2017)
Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam, Harman S. Suri, Ayman S. El-Baz, Jasjit S. Suri
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm. Comput. Methods Programs Biomed. 152 (2017)
Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj K. Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri
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. Comput. Methods Programs Biomed. 128 (2016)
Narendra D. Londhe, Jasjit S. Suri
Superharmonic Imaging for Medical Ultrasound: a Review. J. Medical Syst. 40 (12) (2016)
Nilanjan Dey, Soumyo Bose, Achintya Das, Sheli Sinha Chaudhuri, Luca Saba, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine. J. Medical Syst. 40 (4) (2016)
P. V. Sudeep, Palanisamy Ponnusamy, Jeny Rajan, Hediyeh Baradaran, Luca Saba, Ajay Gupta, Jasjit S. Suri
Speckle reduction in medical ultrasound images using an unbiased non-local means method. Biomed. Signal Process. Control. 28 (2016)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
Reliability analysis of psoriasis decision support system in principal component analysis framework. Data Knowl. Eng. 106 (2016)
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
Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm. Comput. Methods Programs Biomed. 130 (2016)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm. Biomed. Signal Process. Control. 28 (2016)
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
Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach. Comput. Methods Programs Biomed. 134 (2016)
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
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos. J. Medical Syst. 40 (3) (2016)
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
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches. J. Medical Syst. 40 (7) (2016)
Luca Saba, Joel Chia Ming Than, Norliza Mohd. Noor, Omar Mohd. Rijal, Rosminah M. Kassim, Ashari Yunus, Chuen Rue Ng, Jasjit S. Suri
Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients. J. Medical Syst. 40 (6) (2016)
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
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens. Comput. Methods Programs Biomed. 124 (2016)
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
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. Comput. Biol. Medicine 75 (2016)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind. Comput. Methods Programs Biomed. 126 (2016)
Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey, Sayan Chakraborty, Luca Saba, Dinesh Kumar, Elisa Cuadrado Godia, Xiaoyi Jiang, Ajay Gupta, Petia Radeva, John R. Laird, Andrew Nicolaides, Jasjit S. Suri
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. Comput. Methods Programs Biomed. 118 (2) (2015)
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
Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm. J. Medical Syst. 39 (3) (2015)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
First review on psoriasis severity risk stratification: An engineering perspective. Comput. Biol. Medicine 63 (2015)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm. Comput. Biol. Medicine 65 (2015)
Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri
Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm. Expert Syst. Appl. 42 (15-16) (2015)
P. Krishna Kumar, P. Darshan, Sheethal Kumar, Rahul Ravindra, Jeny Rajan, Luca Saba, Jasjit S. Suri
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework. Int. J. Imaging Syst. Technol. 25 (3) (2015)
U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, G. Swapna, Roshan Joy Martis, Nahrizul Adib Kadri, Jasjit S. Suri
Linear and nonlinear analysis of normal and CAD-affected heart rate signals. Comput. Methods Programs Biomed. 113 (1) (2014)
U. Rajendra Acharya, M. Muthu Rama Krishnan, Subbhuraam Vinitha Sree, João M. Sanches, Shoaib Shafique, Andrew Nicolaides, Luís Mendes Pedro, Jasjit S. Suri
Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation. IEEE Trans. Instrum. Meas. 62 (2) (2013)
G. Swapna, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Jasjit S. Suri
Automated detection of diabetes using higher order spectral features extracted from heart rate signals. Intell. Data Anal. 17 (2) (2013)
Luca Saba, Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Andrew Nicolaides, Jasjit S. Suri
Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers. Comput. Biol. Medicine 43 (9) (2013)
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, Jasjit S. Suri
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. EMBC (2013)
U. Rajendra Acharya, Subbhuraam Vinitha Sree, Luca Saba, Filippo Molinari, Stefano Guerriero, Jasjit S. Suri
Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm. J. Digit. Imaging 26 (3) (2013)
U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Peng Chuan Alvin Ang, Ganapathy Krishnamurthi, José C. R. Seabra, João M. Sanches, Jasjit S. Suri
Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization. Comput. Methods Programs Biomed. 110 (1) (2013)
Donna Giri, U. Rajendra Acharya, Roshan Joy Martis, Subbhuraam Vinitha Sree, Teik-Cheng Lim, Thajudin Ahamed VI, Jasjit S. Suri
Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform. Knowl. Based Syst. 37 (2013)
U. Rajendra Acharya, Oliver Faust, Nahrizul Adib Kadri, Jasjit S. Suri, Wenwei Yu
Automated identification of normal and diabetes heart rate signals using nonlinear measures. Comput. Biol. Medicine 43 (10) (2013)
U. Rajendra Acharya, Subbhuraam Vinitha Sree, G. Swapna, Roshan Joy Martis, Jasjit S. Suri
Automated EEG analysis of epilepsy: A review. Knowl. Based Syst. 45 (2013)
Hari Prasad, Roshan Joy Martis, U. Rajendra Acharya, Lim Choo Min, Jasjit S. Suri
Application of higher order spectra for accurate delineation of atrial arrhythmia. EMBC (2013)
U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Subbhuraam Vinitha Sree, David M. Afonso, João M. Sanches, Shoaib Shafique, Andrew Nicolaides, Luís Mendes Pedro, José Fernandes e Fernandes, Jasjit S. Suri
Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment. Medical Biol. Eng. Comput. 51 (5) (2013)
U. Rajendra Acharya, Subbhuraam Vinitha Sree, M. Muthu Rama Krishnan, Krishnananda Nayak, Shetty Ranjan, Pai Umesh, Jasjit S. Suri
Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images. Comput. Methods Programs Biomed. 112 (3) (2013)
Roshan Joy Martis, U. Rajendra Acharya, Choo Min Lim, Jasjit S. Suri
Characterization of ECG beats from cardiac arrhythmia using discrete cosine transform in PCA framework. Knowl. Based Syst. 45 (2013)
Roshan Joy Martis, U. Rajendra Acharya, Hari Prasad, Chua Kuang Chua, Choo Min Lim, Jasjit S. Suri
Application of higher order statistics for atrial arrhythmia classification. Biomed. Signal Process. Control. 8 (6) (2013)
Oliver Faust, U. Rajendra Acharya, E. Y. K. Ng, Kwan Hoong Ng, Jasjit S. Suri
Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review. J. Medical Syst. 36 (1) (2012)
U. Rajendra Acharya, Jasper Tong, Subbhuraam Vinitha Sree, Chua Kuang Chua, Peck Ha Tan, Dhanjoo N. Ghista, Subhagata Chattopadhyay, Kwan Hoong Ng, Jasjit S. Suri
Computer-Based Identification of Type 2 Diabetic Subjects with and Without Neuropathy Using Dynamic Planter Pressure and Principal Component Analysis. J. Medical Syst. 36 (4) (2012)

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Jasjit S. Suri