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Metabolites|April 21, 2022
Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic ReviewJasjit S Suri, Sudip Paul, Maheshrao A Maindarkar, et al.
Rheumatology International|January 2, 2025
Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative surveyEkta Tiwari, Dipti Shrimankar, Mahesh Maindarkar, et al.
Diabetes Research and Clinical Practice|July 31, 2018
Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patientsVasileios Kotsis, Ankush D Jamthikar, Tadashi Araki, et al.
Medical & Biological Engineering & Computing|April 17, 2019
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0Narendra N Khanna, Ankush D Jamthikar, Deep Gupta, et al.
Current Atherosclerosis Reports|January 27, 2019
Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue CharacterizationNarendra N Khanna, Ankush D Jamthikar, Deep Gupta, et al.
Scientific Reports|March 27, 2024
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotidesJaskaran Singh, Narendra N Khanna, Ranjeet K Rout, et al.
Cardiovascular Diagnosis and Therapy|September 24, 2020
Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning modelsAnkush Jamthikar, Deep Gupta, Luca Saba, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial DataMrinalini Bhagawati, Sudip Paul, Laura Mantella, et al.
Computers in Biology and Medicine|January 16, 2022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind reviewJasjit S Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Medical & Biological Engineering & Computing|February 6, 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 applicationMohit Agarwal, Luca Saba, Suneet K Gupta, et al.
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