Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. - Flávio Ávila; Amir H. Poorjam; Deepak Mittal; Charles Dognin; Ananya Muguli; Rohit Kumar; Srikanth Raj Chetupalli; Sriram Ganapathy; Maneesh Singh 001 (Interspeech, 2021)

DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using Acoustics. - Ananya Muguli; Lancelot Pinto; Nirmala R.; Neeraj Kumar Sharma 001; Prashant Krishnan V; Prasanta Kumar Ghosh; Rohit Kumar; Shrirama Bhat; Srikanth Raj Chetupalli; Sriram Ganapathy; Shreyas Ramoji; Viral Nanda (Interspeech, 2021)

Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms. - Srikanth Raj Chetupalli; Prashant Krishnan V; Neeraj Kumar Sharma 001; Ananya Muguli; Rohit Kumar; Viral Nanda; Lancelot Mark Pinto; Prasanta Kumar Ghosh; Sriram Ganapathy (CoRR, 2021)

Towards sound based testing of COVID-19 - Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge. - Neeraj Kumar Sharma 001; Ananya Muguli; Prashant Krishnan V; Rohit Kumar; Srikanth Raj Chetupalli; Sriram Ganapathy (Comput. Speech Lang., 2022)

A Novel Cardiac Arrhythmia Classification Method Using Visibility Graphs and Graph Convolutional Network. - Dorsa EPMoghaddam; Ananya Muguli; Behnaam Aazhang (ACSSC, 2023)

A graph-based cardiac arrhythmia classification methodology using one-lead ECG recordings. - Dorsa EPMoghaddam; Ananya Muguli; Mehdi Razavi; Behnaam Aazhang (Intell. Syst. Appl., 2024)