Deep Learning for Neuroimaging: Applications in Brain Disease Diagnosis and Research

Abstract

Neuroimaging techniques have revolutionized our understanding of the brain's structure and function. With the advent of deep learning, these imaging modalities have seen unprecedented advancements in accuracy, efficiency, and reliability in diagnosing various brain diseases and facilitating research. This paper reviews the applications of deep learning in neuroimaging, focusing on its role in brain disease diagnosis and research. We discuss the challenges, recent developments, and future directions in leveraging deep learning for analyzing neuroimaging data.