| 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 | 28 | 2022 |
| Imle-net: An interpretable multi-level multi-channel model for ecg classification L Reddy, V Talwar, S Alle, RS Bapi, UD Priyakumar 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 12 | 2021 |
| Clinico-genomic analysis reveals mutations associated with COVID-19 disease severity: possible modulation by RNA structure P Mehta, S Alle, A Chaturvedi, A Swaminathan, S Saifi, R Maurya, ... Pathogens 10 (9), 1109, 2021 | 8 | 2021 |
| Linear prediction residual for efficient diagnosis of Parkinson’s disease from gait S Alle, UD Priyakumar Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 4 | 2021 |
| COVID-19 risk stratification and mortality prediction in hospitalized Indian patients S Alle, S Siddiqui, A Kanakan, A Garg, A Karthikeyan, N Mishra, ... medRxiv, 2020.12. 19.20248524, 2020 | 3 | 2020 |
| Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models A Talasila, A Karthikeyan, S Alle, M Maity, UD Priyakumar 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
| Machine Learning for Disease Diagnosis and Severity Assessment S Alle International Institute of Information Technology Hyderabad, 2021 | | 2021 |
| COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients (preprint) S Alle, S Siddiqui, A Kanakan, A Garg, A Karthikeyan, N Mishra, ... | | 2020 |
U. Deva PriyakumarProfessor, IIIT HyderabadVerified email at iiit.ac.in
