MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks

no code implementations • 3 Apr 2021 • Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang

Our approach is motivated by style transfer networks, whereas the "style" for an image is explicitly given in our case, as it is determined by the MR acquisition parameters our network is conditioned on.

Data Augmentation Generative Adversarial Network +1

Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks

no code implementations • 17 Feb 2021 • Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang

A Magnetic Resonance Imaging (MRI) exam typically consists of the acquisition of multiple MR pulse sequences, which are required for a reliable diagnosis.

Generative Adversarial Network Image Generation