COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers

19 July 2022

Papers citing "COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers"

7 / 7 papers shown

Title
On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures Wenwen Zhang Zhouzhuo Tang Yingmei Feng Xia Yu Qi Jie Wang Zhiping Lin 11 0 0 26 Oct 2024
An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19 Tabish Saeed Aneeqa Ijaz Ismail Sadiq Haneya N. Qureshi Ali Rizwan Ali Imran 20 8 0 04 Jan 2024
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence Elif Keles Ulas Bagci 31 21 0 01 Feb 2023
Exploring auditory acoustic features for the diagnosis of the Covid-19 Madhu R. Kamble J. Patino M. Zuluaga Massimiliano Todisco 37 6 0 22 Jan 2022
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 51 56 0 20 Sep 2021
End-2-End COVID-19 Detection from Breath & Cough Audio H. Coppock Alexander Gaskell Panagiotis Tzirakis Alice Baird L. Jones Björn W. Schuller 14 15 0 07 Jan 2021
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks Björn W. Schuller H. Coppock Alexander Gaskell 30 63 0 29 Dec 2020