Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers

arXiv:2405.05462v1 Announce Type: cross
Abstract: Generative approaches for cross-modality transformation have recently gained significant attention in neuroimaging. While most previous work has focused on case-control data, the application of generative models to disorder-specific datasets and their ability to preserve diagnostic patterns remain relatively unexplored. Hence, in this study, we investigated the use of a generative adversarial network (GAN) in the context of Alzheimer's disease (AD) to generate functional network connectivity (FNC) and T1-weighted structural magnetic resonance imaging data from each …

abstract adversarial alzheimer's application arxiv attention case control cs.lg data datasets diagnostic disease eess.iv generative generative adversarial networks generative models networks neuroimaging patterns q-bio.nc study transformation translation type while work