AI in MRI-based Brain Disease Prediction (eBook)

Artikelnummer: 978-1-040-53201-0
Einband: PDF
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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.

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.

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VerlagTaylor & Francis Ebooks
EinbandPDF
Erscheinungsjahr2026
Seitenangabe340 S.
AusgabekennzeichenEnglisch
Abbildungen1 schwarz-weiße und 7 farbige Abbildungen, 4 farbige Fotos, 1 schwarz-weiße und 3 farbige Zeichnungen, 32 schwarz-weiße Tabellen
Masse7'432 KB
PlattformPDF
AutorLiu, Jin (Hrsg.) / Wang, Jianxin (Hrsg.) / Pan, Yi (Hrsg.)

Über den Autor Jin (Hrsg.) Liu

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.

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