AI IN MRI BASED BRAIN DISEASE PREDICTION (HB 2026)

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.

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.