activity
20232026
most citedTuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

eess.AS2026

Separating Voice from Age in COPD Screening

George P. Kafentzis, Nikoletta Arvaniti

Voice has been proposed as a low-cost screening signal for chronic obstructive pulmonary disease (COPD). COPD is strongly age-associated and voice changes with age, thus such resul…

eess.AS20261 cited

Tuberculosis Screening from Cough Audio: Baseline Models, Clinical Variables, and Uncertainty Quantification

George P. Kafentzis, Efstratios Selisios

In this paper, we propose a standardized framework for automatic tuberculosis (TB) detection from cough audio and routinely collected clinical data using machine learning. While TB…

eess.AS2024

Leveraging cough sounds to optimize chest x-ray usage in low-resource settings

Alexander Philip, Sanya Chawla, Lola Jover +6

Chest X-ray is a commonly used tool during triage, diagnosis and management of respiratory diseases. In resource-constricted settings, optimizing this resource can lead to valuable…

eess.AS2024

On the Parameter Estimation of Sinusoidal Models for Speech and Audio Signals

George P. Kafentzis

In this paper, we examine the parameter estimation performance of three well-known sinusoidal models for speech and audio. The first one is the standard Sinusoidal Model (SM), whic…

eess.AS2023

Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

George P. Kafentzis, Stephane Tetsing, Joe Brew +4

Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis and primarily affects the lungs, as well as other body parts. TB is spread through the…