activity
20232026
most citedPredicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

4 citations · 6 across the 4 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.AS2026★ 1 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★ 1 cited

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★ 4 cited

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…