AI in MRI-based Brain Disease Prediction presents a comprehensive exploration of artificial intelligence technologies in the analysis of magnetic resonance imaging (MRI) for brain disease prediction. Bridging medical imaging, neuroscience, and AI, this volume covers core methodologies—such as deep learning, multimodal fusion, and fast MRI processing—and applies them to neurological disorders including Alzheimer's, Parkinson's, stroke, glioma, and autism. Featuring theoretical foundations, real-world case studies, and cutting-edge applications, the book serves as a valuable resource for researchers, clinicians, and students. It aims to foster interdisciplinary innovation and support the advancement of precision medicine in brain healthcare.
Table of Contents
Preface
INTRODUCTION OF BRAIN AND BRAIN MRI
Brain and Magnetic Resonance Brain Imaging
Jin Liu, Xu Tian and Jianxin Wang
Technical Foundations
Jin Liu, Mengshen He and Jianxin Wang
AI-Empowered Fast Magnetic Resonance Imaging
Shanshan Wang, Ruoyou Wu, Jing Yang, Wenxin Fan, Xinrui Ma, Hongming Wang and Hongru Liu
MRI-BASED BRAIN DISEASE PREDICTION
Unveiling the Interdisciplinary Landscape of Brain MRI in Ophthalmology
Mini Han Wang and Yi Pan
Brain Disease Diagnosis Through AI-MRI Integration
Baiying Lei
Advancements in Intelligent Auxiliary Diagnosis for Glioma using Multimodal MRI Images
Jianhong Cheng and Rui Feng
Graph-based Deep Learning for MRI-based Brain Network Analysis
Jiazhou Chen, Li Zhang, Xiaoqi Sheng and Hongmin Cai
AI in Stroke Segmentation Study
Liangliang Liu
Multi-Scale Feature Fusion-based Sweet Spots Localization from Microelectrode Recordings in STN -DBS Surgery
Linxia Xiao, Qingqing Zheng, Xiangyun Liao, Doudou Zhang, Weixin Si, Yanjie Wei and Yi Pan
Intelligent Diagnosis and Classification of Intracerebral Hemorrhage
Ruiquan Ge and Changmiao Wang
Prediction and Diagnosis for Autism Spectrum Disorder
Weihao Zheng, Ying Wang, Mingwen Zhang, Jialong Li and Bin Hu
Multi-Structure Segmentation for STN -DBS Surgery via Contrastive Learning
Congyu Tian, Manxi Lin, Doudou Zhang, Jialun Pei and Weixin Si
Alzheimer’s Disease Diagnosis Methods Based on Biomedical Data
Jin Liu, Xu Tian and Mengshen He
Applications of Hypergraph Learning for Brain Disorder Diagnosis with Neuroimaging: A Survey
Mengshen He, Jianxin Wang and Jin Liu
Index
Editor(s)
Biography
Jin Liu is a professor at Central South University, focusing on medical image computing and AI in neuroimaging. Jianxin Wang, also a professor at Central South University, specializes in foundational AI methods and their applications in healthcare. Yi Pan is a distinguished professor at Shenzhen Institute of Advanced Technology, focusing on core AI technologies and medical applications. Together, they bring complementary expertise to promote AI-driven innovations in brain disease prediction and neuroimaging analysis.
