Aditya Sharma

Orcid: 0000-0003-1756-2504

Affiliations:
  • University of Virginia, Division of Cardiovascular Medicine, Charlottesville, VA, USA


According to our database1, Aditya Sharma authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model.
CoRR, 2024

ATPPNet: Attention based Temporal Point cloud Prediction Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction.
IROS, 2023

NeuroSMPC: A Neural Network Guided Sampling Based MPC for On-Road Autonomous Driving.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Multi-Modal Model Predictive Control Through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving.
IEEE Robotics Autom. Lett., 2022

Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems.
Frontiers Robotics AI, 2022

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.
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.
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.
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.
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.
J. Digit. Imaging, 2021

2020
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort.
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.
Comput. Biol. Medicine, 2020

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound.
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.
Comput. Biol. Medicine, 2020

2019
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.
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.
Comput. Biol. Medicine, 2019

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.
Comput. Biol. Medicine, 2019

2017
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.
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.
Comput. Methods Programs Biomed., 2017

2016
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.
J. Medical Syst., 2016


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