End-to-End Deep Diagnosis of X-ray Images.

We present an end-to-end deep learning frame-work for X-ray image diagnosis. As the first step, our system determines whether a submitted image is an X-ray or not. After it classifies the type of the X-ray, it runs the dedicated abnormality classification network.

A Network-Based Stochastic Epidemic Simulator: Controlling COVID-19 With Region-Specific Policies.

In this work, we present an open-source stochastic epidemic simulator calibrated with extant epidemic experience of COVID-19. The simulator models a country as a network representing each node as an administrative region. The transportation connections between the nodes are modeled as the edges of this network.