Enhancing 3T fMRI Data for Improved Reconstruction of Retinal Visual Images Using Unsupervised Learning

A novel framework that generates enhanced 3T fMRI data through an unsupervised Generative Adversarial Network (GAN), leveraging unpaired training across 7T and 3T fMRI datasets, to enable superior reconstruction of retinal visual images compared to subject-specific methods.