| DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics A Muguli, L Pinto, N Sharma, P Krishnan, PK Ghosh, R Kumar, S Bhat, ... arXiv preprint arXiv:2103.09148, 2021 | 106 | 2021 |
| Multi-modal point-of-care diagnostics for COVID-19 based on acoustics and symptoms SR Chetupalli, P Krishnan, N Sharma, A Muguli, R Kumar, V Nanda, ... IEEE Journal of Translational Engineering in Health and Medicine 11, 199-210, 2023 | 26 | 2023 |
| Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge NK Sharma, A Muguli, P Krishnan, R Kumar, SR Chetupalli, S Ganapathy Computer Speech & Language 73, 101320, 2022 | 18 | 2022 |
| Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ... Interspeech 6, 4246-4250, 2021 | 10 | 2021 |
| DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics. arXiv 2021 A Muguli, L Pinto, N Sharma, P Krishnan, PK Ghosh, R Kumar, S Bhat, ... arXiv preprint arXiv:2103.09148, 0 | 10 | |
| A Novel Cardiac Arrhythmia Classification Method Using Visibility Graphs and Graph Convolutional Network D EPMoghaddam, A Muguli, B Aazhang 2023 57th Asilomar Conference on Signals, Systems, and Computers, 866-870, 2023 | 2 | 2023 |
| A graph-based cardiac arrhythmia classification methodology using one-lead ECG recordings D EPMoghaddam, A Muguli, M Razavi, B Aazhang Intelligent Systems with Applications 22, 200385, 2024 | | 2024 |
| Intelligent Systems with Applications D EPMoghaddam, A Muguli, M Razavi, B Aazhang | | |
