X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks

1 code implementation • CVPR 2019 • Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zheng-Xin Weng, Yefeng Zheng

Computed tomography (CT) can provide a 3D view of the patient's internal organs, facilitating disease diagnosis, but it incurs more radiation dose to a patient and a CT scanner is much more cost prohibitive than an X-ray machine too.

Computed Tomography (CT) Generative Adversarial Network

SIC-GAN: A Self-Improving Collaborative GAN for Decoding Sketch RNNs

no code implementations • ICLR 2018 • Chi-Chun Chuang, Zheng-Xin Weng, Shan-Hung Wu

We propose the Self-Improving Collaborative GAN (SIC-GAN), where there are two generators (variational RNNs) collaborating with each other to output a sequence and aiming to trick the discriminator into believing the sequence is of good quality.