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PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge
7 June 2021
Madhu R. Kamble
José Andrés González López
T. Grau
J. M. Espín
Lorenzo Cascioli
Yiqing Huang
Alejandro Gomez-Alanis
J. Patino
R. Font
Antonio M. Peinado
A. Gómez
Nicholas W. D. Evans
M. Zuluaga
Massimiliano Todisco
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Papers citing
"PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge"
6 / 6 papers shown
Title
Exploring auditory acoustic features for the diagnosis of the Covid-19
Madhu R. Kamble
J. Patino
M. Zuluaga
Massimiliano Todisco
45
6
0
22 Jan 2022
Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals
Xing-Yu Chen
Qiu-shi Zhu
Jie M. Zhang
Lirong Dai
24
14
0
22 Jan 2022
Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds
Negin Melek
13
2
0
29 Nov 2021
A Cough-based deep learning framework for detecting COVID-19
Hoang Van Truong
L. D. Pham
Dat Ngo
Hoang-Dung Nguyen
29
7
0
07 Oct 2021
Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
N. Sharma
Ananya Muguli
Prashant Krishnan
Rohit Kumar
Srikanth Raj Chetupalli
Sriram Ganapathy
25
13
0
21 Jun 2021
Biometrics in the Era of COVID-19: Challenges and Opportunities
M. Gomez-Barrero
P. Drozdowski
Christian Rathgeb
J. Patino
Massimiliano Todisco
A. Nautsch
Naser Damer
Jannier Priesnitz
Nicholas W. D. Evans
Christoph Busch
45
54
0
18 Feb 2021
1