COVID-19 | CBRC | Computational Bioscience Research Center

KAUST CEMSE AMCS STAT Graduate Seminar A Rapid, Accurate and Machine-agnostic Segmentation and Quantification Method for CT-based COVID-19 Diagnosis

A Rapid, Accurate and Machine-agnostic Segmentation and Quantification Method for CT-based COVID-19 Diagnosis

Thursday, April 08, 12:00

- 13:00

https://kaust.zoom.us/j/94262797011?pwd=ZXBBcnltQ3JvZkdhWFZjTEptL3FmUT09

COVID-19

Graduate Seminar

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Coronavirus testing made quick and easy

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KAUST scientists develop virus mutation tracker

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How AI helps improve COVID-19 testing

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Studying COVID-19’s envelope protein

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KAUST CEMSE CS SFB Xin Gao

AI that's built to save lives

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