Aditya Sharma

According to our database, Aditya Sharma authored at least 15 papers between 2016 and 2022.

Collaborative distances:

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

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, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra

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, John R. Laird, Kumar Utkarsh, Inder M. Singh, Suneet K. Gupta, Manudeep S. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

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, 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

Comput. Biol. Medicine, 2022

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, Luca Saba, Suneet K. 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

Medical Biol. Eng. Comput., 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, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Aditya Sharma, Vijay Viswanathan, Zoltan Ruzsa, Andrew Nicolaides, Jasjit S. Suri

J. Digit. Imaging, 2021

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, Vijay Viswanathan, Andrew Nicolaides, Jasjit S. Suri

J. Medical Syst., 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, 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

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, Athanasios Protogerou, Vijay Viswanathan, Aditya M. Sharma, George D. Kitas, Andrew Nicolaides, Raghu Kolluri, Jasjit S. Suri

Comput. Biol. Medicine, 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

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

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

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

Medical Biol. Eng. Comput., 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, Ajay Gupta, Soumyo Bose, Suvojit Acharjee, Shoaib Shafique, Elisa Cuadrado Godia, Tadashi Araki, Luca Saba, John R. Laird, Andrew Nicolaides, Jasjit S. Suri

Comput. Methods Programs Biomed., 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