141 citations · 192 across the 4 of their papers we have counts for
4 papers
Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough
Esin Darici Haritaoglu, Nicholas Rasmussen, Daniel C. H. Tan +12
The Covid-19 pandemic has been one of the most devastating events in recent history, claiming the lives of more than 5 million people worldwide. Even with the worldwide distributio…
Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19
Ahmed Fakhry, Xinyi Jiang, Jaclyn Xiao +3
Fast and affordable solutions for COVID-19 testing are necessary to contain the spread of the global pandemic and help relieve the burden on medical facilities. Currently, limited…
Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough
Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry +4
Rapid and affordable methods of testing for COVID-19 infections are essential to reduce infection rates and prevent medical facilities from becoming overwhelmed. Current approaches…
Cross-modality deep learning brings bright-field microscopy contrast to holography
Yichen Wu, Yilin Luo, Gunvant Chaudhari +4
Deep learning brings bright-field microscopy contrast to holographic images of a sample volume, bridging the volumetric imaging capability of holography with the speckle- and artif…