Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation (with Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah and Meng Law)

This paper shows how to use Generative Adversarial Networks (GANs) to augment data for classes that are rare in the dataset.  The expanded dataset can then be used to train a classifier that outperforms a classifier trained only on the original real images.

[MICCAI 2019 paper]