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Oxidative Medicine and Cellular Longevity|August 9, 2022
A Review on Recent Advances of Cerebral PalsySudip Paul, Anjuman Nahar, Mrinalini Bhagawati, et al.
Diagnostics (Basel, Switzerland)|April 12, 2025
Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in Intravascular Ultrasound: A Narrative ReviewVandana Kumari, Alok Katiyar, Mrinalini Bhagawati, 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.
Computers in Biology and Medicine|May 5, 2026
Attention mechanisms in UNet variants for medical/non-medical image segmentation: A comprehensive and state-of-the-art narrative reviewSiddharth Gupta, Yogendra Chhetri, Amit Pandey, 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.
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.
The International Journal of Cardiovascular Imaging|April 27, 2024
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohortMrinalini Bhagawati, Sudip Paul, Laura Mantella, et al.
Cardiovascular Diagnosis and Therapy|July 5, 2023
Cardiovascular disease/stroke risk stratification in deep learning framework: a reviewMrinalini Bhagawati, Sudip Paul, Sushant Agarwal, et al.
Healthcare (Basel, Switzerland)|December 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. TreatmentNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
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