| Machine learning based clinical decision support system for early COVID-19 mortality prediction A Karthikeyan, A Garg, PK Vinod, UD Priyakumar Frontiers in public health 9, 626697, 2021 | 120 | 2021 |
| COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits S Alle, A Kanakan, S Siddiqui, A Garg, A Karthikeyan, P Mehta, N Mishra, ... PLoS One 17 (3), e0264785, 2022 | 32 | 2022 |
| Plas-5k: Dataset of protein-ligand affinities from molecular dynamics for machine learning applications DB Korlepara, CS Vasavi, S Jeurkar, PK Pal, S Roy, S Mehta, S Sharma, ... Scientific data 9 (1), 548, 2022 | 14 | 2022 |
| Modern AI/ML methods for healthcare: Opportunities and challenges A Garg, VV Venkataramani, A Karthikeyan, UD Priyakumar International Conference on Distributed Computing and Internet Technology, 3-25, 2022 | 4 | 2022 |
| Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction. Front Public Health. 2021; 9: 626697 A Karthikeyan, A Garg, PK Vinod, UD Priyakumar Epub 2021/06/01. https://doi. org/10.3389/fpubh. 2021.626697 PMID: 34055710, 2021 | 3 | 2021 |
| Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction using Multi-positional Phonocardiogram Recording. vol. 49 VV Venkataramani, A Garg, UD Priyakumar 2022 Computing in Cardiology (CinC) 49, 1-4, 2022 | 1* | 2022 |
| A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features VV Venkataramani, A Garg, M Maity, UD Priyakumar 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework A Garg, VV Venkataramani, UD Priyakumar 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
