96 citations · 105 across the 5 of their papers we have counts for
5 papers
Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang +3
We previously established a large lung sound database, HF_Lung_V2 (Lung_V2). We trained convolutional-bidirectional gated recurrent unit (CNN-BiGRU) networks for detecting inhalati…
An Update on a Progressively Expanded Database for Automated Lung Sound Analysis
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang +5
Purpose: We previously established an open-access lung sound database, HF_Lung_V1, and developed deep learning models for inhalation, exhalation, continuous adventitious sound (CAS…
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
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang +15
A reliable, remote, and continuous real-time respiratory sound monitor with automated respiratory sound analysis ability is urgently required in many clinical scenarios-such as in…
Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model
Fu-Shun Hsu, Chao-Jung Huang, Chen-Yi Kuo +6
Respiratory auscultation can help healthcare professionals detect abnormal respiratory conditions if adventitious lung sounds are heard. The state-of-the-art artificial intelligenc…
Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery
Siang-Ruei Wu, Hao-Yun Chang, Florence T Su +6
Semantic segmentation of medical images with deep learning models is rapidly developed. In this study, we benchmarked state-of-the-art deep learning segmentation algorithms on our…