A review on recent advances of cerebral palsy S Paul, A Nahar, M Bhagawati, AJ Kunwar Oxidative medicine and cellular longevity 2022 (1), 2622310, 2022 | 158 | 2022 |
Economics of artificial intelligence in healthcare: diagnosis vs. treatment NN Khanna, MA Maindarkar, V Viswanathan, JFE Fernandes, S Paul, ... Healthcare 10 (12), 2493, 2022 | 139 | 2022 |
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review JS Suri, M Bhagawati, S Paul, A Protogeron, PP Sfikakis, GD Kitas, ... Computers in biology and medicine 142, 105204, 2022 | 63 | 2022 |
UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable artificial … JS Suri, M Bhagawati, S Agarwal, S Paul, A Pandey, SK Gupta, L Saba, ... Ieee Access 11, 595-645, 2022 | 51 | 2022 |
A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review JS Suri, M Bhagawati, S Paul, AD Protogerou, PP Sfikakis, GD Kitas, ... Diagnostics 12 (3), 722, 2022 | 46 | 2022 |
Vascular implications of COVID-19: role of radiological imaging, artificial intelligence, and tissue characterization: a special report NN Khanna, M Maindarkar, A Puvvula, S Paul, M Bhagawati, P Ahluwalia, ... Journal of cardiovascular development and disease 9 (8), 268, 2022 | 25 | 2022 |
Cardiovascular/stroke risk stratification in diabetic foot infection patients using deep learning-based artificial intelligence: an investigative study NN Khanna, MA Maindarkar, V Viswanathan, A Puvvula, S Paul, ... Journal of clinical medicine 11 (22), 6844, 2022 | 23 | 2022 |
Artificial intelligence bias in medical system designs: A systematic review A Kumar, V Aelgani, R Vohra, SK Gupta, M Bhagawati, S Paul, L Saba, ... Multimedia Tools and Applications 83 (6), 18005-18057, 2024 | 22 | 2024 |
Deep learning paradigm for cardiovascular disease/stroke risk stratification in Parkinson’s disease affected by COVID-19: a narrative review JS Suri, MA Maindarkar, S Paul, P Ahluwalia, M Bhagawati, L Saba, ... Diagnostics 12 (7), 1543, 2022 | 16 | 2022 |
Cardiovascular disease/stroke risk stratification in deep learning framework: a review M Bhagawati, S Paul, S Agarwal, A Protogeron, PP Sfikakis, GD Kitas, ... Cardiovascular Diagnosis and Therapy 13 (3), 557, 2023 | 11 | 2023 |
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment. Healthcare, 10, Article 2493 NN Khanna, MA Maindarkar, V Viswanathan, JFE Fernandes, S Paul, ... | 11 | 2022 |
A review on recent advances of cerebral palsy. Oxidative medicine and cellular longevity, 2022 S Paul, A Nahar, M Bhagawati, AJ Kunwar | 6 | 2022 |
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort M Bhagawati, S Paul, L Mantella, AM Johri, JR Laird, IM Singh, R Singh, ... The International Journal of Cardiovascular Imaging, 1-21, 2024 | 3 | 2024 |
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data M Bhagawati, S Paul, L Mantella, AM Johri, S Gupta, JR Laird, IM Singh, ... Diagnostics 14 (17), 1894, 2024 | 2 | 2024 |
Generative Adversarial Network-based Deep Learning Framework for Cardiovascular Disease Risk Prediction M Bhagawati, S Paul 2024 5th International Conference on Innovative Trends in Information …, 2024 | 1 | 2024 |
Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey E Tiwari, D Shrimankar, M Maindarkar, M Bhagawati, J Kaur, IM Singh, ... Rheumatology International 45 (1), 14, 2025 | | 2025 |
Identifying cardiovascular abnormalities M Bhagawati, S Paul Artificial Intelligence in e-Health Framework, Volume 1, 227-244, 2025 | | 2025 |
Machine Learning for Major Depressive Disorder: An Overview M Bhagawati, S Paul 2021 9th International Conference on Reliability, Infocom Technologies and …, 2021 | | 2021 |