96 citations · 107 across the 2 of their papers we have counts for
2 papers
cs.SD2021★ 11 cited
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training
Fu-Shun Hsu, Shang-Ran Huang, Chang-Fu Su +12
Many deep learning-based computerized respiratory sound analysis methods have previously been developed. However, these studies focus on either lung sound only or tracheal sound on…
cs.SD2021★ 96 cited
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…