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Aditya Sharma 0001
Person information
- affiliation: University of Virginia, Division of Cardiovascular Medicine, Charlottesville, VA, USA
Other persons with the same name
- Aditya Sharma — disambiguation page
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2020 – today
- 2024
- [c3]Kaustab Pal, Aditya Sharma, Avinash Sharma, K. Madhava Krishna:
ATPPNet: Attention based Temporal Point cloud Prediction Network. ICRA 2024: 11140-11146 - [i5]Kaustab Pal, Aditya Sharma, Avinash Sharma, K. Madhava Krishna:
ATPPNet: Attention based Temporal Point cloud Prediction Network. CoRR abs/2401.17399 (2024) - [i4]Amith Manoharan, Aditya Sharma, Himani Belsare, Kaustab Pal, K. Madhava Krishna, Arun Kumar Singh:
Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model. CoRR abs/2404.03307 (2024) - 2023
- [c2]Kaustab Pal, Aditya Sharma, Mohd. Omama, Parth N. Shah, K. Madhava Krishna:
NeuroSMPC: A Neural Network Guided Sampling Based MPC for On-Road Autonomous Driving. CASE 2023: 1-6 - [c1]Basant Sharma
, Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh:
Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction. IROS 2023: 7448-7455 - [i3]Basant Sharma, Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh:
Hilbert Space Embedding-based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction. CoRR abs/2310.08270 (2023) - [i2]Kaustab Pal, Aditya Sharma, Mohd. Omama, Parth N. Shah, K. Madhava Krishna:
NeuroSMPC: A Neural Network guided Sampling Based MPC for On-Road Autonomous Driving. CoRR abs/2310.13077 (2023) - 2022
- [j17]Jasjit S. Suri, Mrinalini Bhagawati
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Comput. Biol. Medicine 142: 105204 (2022) - [j16]Mohit Agarwal
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: 105571 (2022) - [j15]Amer M. Johri, Krishna V. Singh
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: 106018 (2022) - [j14]Dipanwita Guhathakurta
Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems. Frontiers Robotics AI 9 (2022) - [j13]Vivek K. Adajania, Aditya Sharma, Anish Gupta, Houman Masnavi, K. Madhava Krishna
Multi-Modal Model Predictive Control Through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving. IEEE Robotics Autom. Lett. 7(2): 4220-4227 (2022) - 2021
- [j12]Mainak Biswas, Luca Saba, Tomaz Omerzu, Amer M. Johri, Narendra N. Khanna
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): 581-604 (2021) - [j11]Mohit Agarwal
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): 511-533 (2021) - [i1]Vivek K. Adajania, Aditya Sharma, Anish Gupta, Houman Masnavi, K. Madhava Krishna, Arun Kumar Singh:
Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving. CoRR abs/2109.10392 (2021) - 2020
- [j10]Mainak Biswas, Luca Saba, Shubhro Chakrabartty, Narender N. Khanna
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: 103847 (2020) - [j9]Siva Skandha Sanagala
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: 103958 (2020) - [j8]Ankush D. Jamthikar, Deep Gupta
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. Comput. Biol. Medicine 126: 104043 (2020) - [j7]Ankush D. Jamthikar, Deep Gupta
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J. Medical Syst. 44(12): 208 (2020)
2010 – 2019
- 2019
- [j6]Narendra N. Khanna
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: 125-143 (2019) - [j5]Elisa Cuadrado Godia
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Comput. Biol. Medicine 108: 182-195 (2019) - [j4]Mainak Biswas
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): 543-564 (2019) - 2017
- [j3]Nobutaka Ikeda, Nilanjan Dey
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: 73-81 (2017) - [j2]P. Krishna Kumar
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach. Medical Biol. Eng. Comput. 55(8): 1415-1434 (2017) - 2016
- [j1]Tadashi Araki, P. Krishna Kumar
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches. J. Medical Syst. 40(7): 182:1-182:19 (2016)
Coauthor Index
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