Ke Wang

TL;DR: The implementation of control measures on January 23 2020 was indispensable in reducing the eventual COVID-19 epidemic size, and the dynamic SEIR model, trained on the 2003 SARS data, was effective in predicting the epidemic peaks and sizes.

TL;DR: Using a large computed Tomography database from 4,154 patients, an AI system is developed that can diagnose NCP and differentiate it from other common pneumonia and normal controls and is made available globally to assist the clinicians to combat COVID-19.

TL;DR: A three-stage framework, called KISEG (Key and Intermediate frame of Segmentation), to enhance performance on serial CT image segmentation with multi-level acceleration, which achieves comparable accuracy with state-of-the-art methods and fewer GFLOPs.

TL;DR: A knowledge-based tree decoding model (K-BTD), and the inference procedure is a top-down decoding process from the root node to leaf nodes, which visualizes the diagnosis procedure and adds to the interpretability of final predictions.

TL;DR: A new medical image annotation system for automated classification and segmentation of anterior segment eye lesions, called EyeHealer, is developed with a large-scale anterior eye segment dataset with both eye structures and lesions annotated at the pixel level.