Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning

• Published in: Proceedings (International Symposium on Biomedical Imaging) Vol. 2024; pp. 1 - 5
• Main Authors: Xiong, Yujian, Zhu, Wenhui, Lu, Zhong-Lin, Wang, Yalin
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.05.2024
• Subjects: Data models; Functional magnetic resonance imaging; Generative Adversarial Network; Generative adversarial networks; Task analysis; Training; Visual Cortex; Visual systems; Visualization; Visual Cortex; Functional Magnetic Resonance Imaging; Generative Adversarial Network

The reconstruction of human visual inputs from brain activity, particularly through functional Magnetic Resonance Imaging (fMRI), holds promising avenues for unraveling the mechanisms of the human visual system. Despite the significant strides made by deep learning methods in improving the quality a...