Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks

11 July 2019

Papers citing "Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks"

9 / 9 papers shown

Title
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data María Teresa García-Ordás J. Benítez-Andrades Isaías García-Rodríguez Carmen Benavides H. Alaiz-Moretón DRL 22 86 0 03 Feb 2024
Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey Aneeqa Ijaz Muhammad Nabeel Usama Masood Tahir Mahmood M. Hashmi Iryna Posokhova Ali Rizwan Ali Imran 32 53 0 24 Sep 2023
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies Dat Ngo L. D. Pham Huy P Phan Minh Tran D. Jarchi Ş. Kolozali 32 3 0 07 Mar 2023
Training one model to detect heart and lung sound events from single point auscultations Leander Melms Robert R. Ilesan Ulrich Köhler O. Hildebrandt R. Conradt ... Jürgen R. Schaefer Tobias Müller J. Obergassel Nadine Schlicker M. Hirsch 26 2 0 15 Jan 2023
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers Idil Aytekin Onat Dalmaz Kaan Gonc H. Ankishan E. Saritas Ulas Bagci H. Celik Tolga Çukur 22 12 0 19 Jul 2022
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies L. D. Pham Dat Ngo T. Hoang Alexander Schindler Ian Mcloughlin 21 5 0 09 Jan 2022
Lung Sound Classification Using Co-tuning and Stochastic Normalization T. Nguyen Franz Pernkopf 19 86 0 04 Aug 2021
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information M. Hosseini Haoran Ren Hasib-Al Rashid A. Mazumder Bharat Prakash T. Mohsenin 24 20 0 26 Nov 2020
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases L. D. Pham Ian Mcloughlin Huy P Phan Minh Tran T. Nguyen Ramaswamy Palaniappan 14 44 0 21 Jan 2020