COVID-19 Image data collection

Project Summary: To build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo.

Count-ception: Heterogeneous cell counting

This work develops a method to count heterogeneous objects, such as
cell nuclei or sealions. We develop a deep learning based system to
that takes as input an image and returns a count of the objects inside
and justification for the prediction in the form of weak localization.