Mrinalini Bhagawati

According to our database, Mrinalini Bhagawati authored at least 4 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification.

Mrinalini Bhagawati, Siddharth Gupta, Sudip Paul, Laura E. Mantella, Amer M. Johri, John R. Laird, Ekta Tiwari, Narendra N. Khanna, Andrew Nicolaides, Rajesh Singh, Mustafa Al-Maini, Luca Saba, Jasjit S. Suri

Biomed. Signal Process. Control., 2025

2024

Artificial intelligence bias in medical system designs: a systematic review.

Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, Suneet K. Gupta, Mrinalini Bhagawati, Sudip Paul, Luca Saba, Neha Suri, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu, Jasjit S. Suri

Multim. Tools Appl., February, 2024

2023

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias.

Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu

IEEE Access, 2023

2022

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

Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios Protogeron, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra

Comput. Biol. Medicine, 2022