Efficiently Classifying Lung Sounds through Depthwise Separable CNN Models with Fused STFT and MFCC Features

A basic investigation into the optimization of cylindrical tubes used as acoustic stethoscopes for auscultation in COVID-19 diagnosis

(2021) Chuanyang Jiang et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study

(2021) Alban Glangetas et al.   BMC Pulmonary Medicine

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data

(2020) María Teresa García-Ordás et al.   SENSORS

Persistent Value of the Stethoscope in the Age of COVID-19

(2020) Rajiv S. Vasudevan et al.   AMERICAN JOURNAL OF MEDICINE

Lung sounds classification using convolutional neural networks

(2018) Dalal Bardou et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Classification of lung sounds using convolutional neural networks

(2017) Murat Aykanat et al.   EURASIP Journal on Image and Video Processing

Automatic adventitious respiratory sound analysis: A systematic review

(2017) Renard Xaviero Adhi Pramono et al.   PLoS One

Towards the Development of a Mobile Phonopneumogram: Automatic Breath-Phase Classification Using Smartphones

(2016) Bersain A. Reyes et al.   ANNALS OF BIOMEDICAL ENGINEERING

Towards the standardisation of lung sound nomenclature

(2015) Hans Pasterkamp et al.   EUROPEAN RESPIRATORY JOURNAL