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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems. - Dipanwita Guhathakurta; Fatemeh Rastgar; Aditya Sharma 001; K. Madhava Krishna; Arun Kumar Singh 001 (Frontiers Robotics AI, 2022)

Multi-Modal Model Predictive Control Through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving. - Vivek K. Adajania; Aditya Sharma 001; Anish Gupta; Houman Masnavi; K. Madhava Krishna; Arun Kumar Singh 001 (IEEE Robotics Autom. Lett., 2022)

NeuroSMPC: A Neural Network Guided Sampling Based MPC for On-Road Autonomous Driving. - Kaustab Pal; Aditya Sharma 001; Mohd. Omama; Parth N. Shah; K. Madhava Krishna (CASE, 2023)

Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction. - Basant Sharma; Aditya Sharma 001; K. Madhava Krishna; Arun Kumar Singh 001 (IROS, 2023)

ATPPNet: Attention based Temporal Point cloud Prediction Network. - Kaustab Pal; Aditya Sharma 001; Avinash Sharma 001; K. Madhava Krishna (ICRA, 2024)

Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model. - Amith Manoharan; Aditya Sharma 001; Himani Belsare; Kaustab Pal; K. Madhava Krishna; Arun Kumar Singh 001 (IROS, 2024)