output
20202025
most citedAdvancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

78 citations

5 papers

q-bio.NC2025

Auditory steady-state response and gamma oscillations in an excitatory-inhibitory balanced neuronal network

Duoyu Feng, Jiajia Li

This study introduces a novel auditory neuronal network model that integrates speech signal input, cochlear processing, and a cortical excitatory-inhibitory (E-I) balanced network.…

cs.AI2021★ 78 cited

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

Xiang Bai, Hanchen Wang, Liya Ma +43

Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses. However, concerns surrounding security and trustworthiness impede the collection…

cs.CV2021

Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network

Yi Lin, Jianchao Su, Xiang Wang +4

Automated methods for detecting pulmonary embolisms (PEs) on CT pulmonary angiography (CTPA) images are of high demand. Existing methods typically employ separate steps for PE cand…

physics.med-ph2020★ 7 cited

The optimal design for cylindrical tubes used as acoustic stethoscopes for auscultation in COVID-19 diagnosis

Chuanyang Jiang, Jiaqi Zhao, Jiao Yu

During the COVID-19 outbreak, the auscultation of heart and lung sounds has played an important role in the comprehensive diagnosis and real-time monitoring of confirmed cases. Wit…

cs.SD2020★ 64 cited

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

Björn W. Schuller, Dagmar M. Schuller, Kun Qian +3

At the time of writing, the world population is suffering from more than 10,000 registered COVID-19 disease epidemic induced deaths since the outbreak of the Corona virus more than…