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Vijay Viswanathan 0001
Person information
- affiliation: MV Hospital for Diabetes and Professor M Viswanathan Diabetes Research Centre, Chennai, India
Other persons with the same name
- Vijay Viswanathan — disambiguation page
- Vijay Viswanathan 0002 — Carnegie Mellon University, Pittsburgh, PA, USA
- Vijay Viswanathan 0003
— Northwestern University, Medill Integrated Marketing Communications, Evanston, IL, USA
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2020 – today
- 2024
- [j10]Mainak Biswas, Luca Saba, Mannudeep K. Kalra, Rajesh Singh, José Fernandes e Fernandes, Vijay Viswanathan, John R. Laird, Laura E. Mantella, Amer M. Johri, Mostafa M. Fouda, Jasjit S. Suri:
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment. Comput. Medical Imaging Graph. 117: 102437 (2024) - 2021
- [j9]Luca Saba, Mohit Agarwal
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): 423-434 (2021) - [j8]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) - [j7]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) - [j6]Luca Saba
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: 1-12 (2021) - 2020
- [j5]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) - [j4]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) - [j3]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) - [j2]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
- [j1]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)
Coauthor Index
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