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1907.05708
Cited By
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
11 July 2019
D. Perna
Andrea Tagarelli
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Papers citing
"Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks"
23 / 23 papers shown
Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals
S M Asiful Islam Saky
Md Rashidul Islam
Md Saiful Arefin
Shahaba Alam
50
0
0
29 Nov 2025
A Multi-Stage Hybrid CNN-Transformer Network for Automated Pediatric Lung Sound Classification
Samiul Based Shuvo
Taufiq Hasan
128
3
0
27 Jul 2025
Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network
medRxiv (medRxiv), 2024
Shahran Rahman Alve
Muhammad Zawad Mahmud
Samiha Islam
Mohammad Monirujjaman Khan
190
4
0
03 Nov 2024
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
108
101
0
03 Feb 2024
Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey
Informatics in Medicine Unlocked (IMU), 2022
Aneeqa Ijaz
Muhammad Nabeel
Usama Masood
Tahir Mahmood
M. Hashmi
Iryna Posokhova
Ali Rizwan
Ali Imran
248
76
0
24 Sep 2023
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies
Biomedical Circuits and Systems Conference (BioCAS), 2023
Dat Ngo
L. D. Pham
Huy P Phan
Minh Tran
D. Jarchi
185
10
0
25 Jun 2023
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
IEEE International Workshop on Multimedia Signal Processing (MMSP), 2023
Dat Ngo
L. D. Pham
Huy P Phan
Minh Tran
D. Jarchi
Ş. Kolozali
161
5
0
07 Mar 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence
Elif Keles
Ulas Bagci
243
47
0
01 Feb 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
235
2
0
15 Jan 2023
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
International Conference on Artificial Neural Networks (ICANN), 2022
Michele Cozzatti
Federico Simonetta
Stavros Ntalampiras
DRL
153
7
0
05 Aug 2022
COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
IEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Idil Aytekin
Onat Dalmaz
Kaan Gonc
H. Ankishan
E. Saritas
Ulas Bagci
H. Celik
Tolga Çukur
177
23
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
205
5
0
09 Jan 2022
Lung Sound Classification Using Co-tuning and Stochastic Normalization
IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
T. Nguyen
Franz Pernkopf
161
127
0
04 Aug 2021
Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection
Fu-Shun Hsu
Shang-Ran Huang
Chien-Wen Huang
Chun-Chieh Chen
Yuan-Ren Cheng
F. Lai
116
1
0
09 Jul 2021
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021
T. Nguyen
Franz Pernkopf
MedIm
114
19
0
30 Apr 2021
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1
PLoS ONE (PLOS ONE), 2021
Fu-Shun Hsu
Shang-Ran Huang
Chien-Wen Huang
Chao-Jung Huang
Yuan-Ren Cheng
...
Yi-Lin Wu
Tzu-Ling Tzeng
Ching-Ting Tseng
Yi-Tsun Chen
F. Lai
205
68
0
05 Feb 2021
Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases
L. D. Pham
Huy P Phan
Ross King
Alfred Mertins
Ian Mcloughlin
131
9
0
26 Dec 2020
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo
L. D. Pham
A. Nguyen
Ben Phan
Khoa Tran
Truong Thao Nguyen
130
25
0
26 Dec 2020
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information
M. Hosseini
Haoran Ren
Hasib-Al Rashid
A. Mazumder
Bharat Prakash
T. Mohsenin
169
20
0
26 Nov 2020
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
Siddhartha Gairola
Francis Tom
Nipun Kwatra
Mohit Jain
121
111
0
31 Oct 2020
Respiratory Sound Classification Using Long-Short Term Memory
Chelsea Villanueva
Joshua Vincent
Alexander Slowinski
M. Hosseini
147
1
0
06 Aug 2020
CNN-MoE based framework for classification of respiratory anomalies and lung disease detection
L. D. Pham
Huy P Phan
Ramaswamy Palaniappan
Alfred Mertins
Ian Mcloughlin
95
2
0
04 Apr 2020
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
L. D. Pham
Ian Mcloughlin
Huy P Phan
Minh Tran
T. Nguyen
Ramaswamy Palaniappan
127
56
0
21 Jan 2020
1
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