Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough

no code implementations • 5 Jan 2022 • Esin Darici Haritaoglu, Nicholas Rasmussen, Daniel C. H. Tan, Jennifer Ranjani J., Jaclyn Xiao, Gunvant Chaudhari, Akanksha Rajput, Praveen Govindan, Christian Canham, Wei Chen, Minami Yamaura, Laura Gomezjurado, Aaron Broukhim, Amil Khanzada, Mert Pilanci

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.

COVID-19 Diagnosis Self-Supervised Learning

Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19

no code implementations • 2 Mar 2021 • Ahmed Fakhry, Xinyi Jiang, Jaclyn Xiao, Gunvant Chaudhari, Asriel Han, Amil Khanzada

Such models have the potential to be deployed on smartphones for fast, widespread, and low-resource testing.

Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough

1 code implementation • 26 Nov 2020 • Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry, Asriel Han, Jaclyn Xiao, Sabrina Shen, Amil Khanzada

Rapid and affordable methods of testing for COVID-19 infections are essential to reduce infection rates and prevent medical facilities from becoming overwhelmed.

Cross-modality deep learning brings bright-field microscopy contrast to holography

no code implementations • 17 Nov 2018 • Yichen Wu, Yilin Luo, Gunvant Chaudhari, Yair Rivenson, Ayfer Calis, Kevin De Haan, Aydogan Ozcan

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 artifact-free image contrast of bright-field incoherent microscopy.