finelybook
Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives
Author(s): Karthik Ramamurthy PhD (Editor)
- Publisher finelybook 出版社: Academic Press
- Publication Date 出版日期: April 7, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 364 pages
- ISBN-10: 0443414599
- ISBN-13: 9780443414596
Book Description
Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives explores how deep learning revolutionizes neuroinformatics, covering the latest methods and applications of deep learning in analyzing neuroimaging data from EEG, MRI, PET, and more. The book addresses critical neurological disorders like Alzheimer’s disease, Mild Cognitive Impairment, Stroke, and Autism Spectrum Disorder, bridging the gap between neuroscience and artificial intelligence. It is an ideal resource for researchers, practitioners, and students with insights from leading experts.
- Consolidates scattered information on deep learning techniques in neuroimaging data analysis, facilitating access for researchers, practitioners, and students
- Explores deep learning algorithms applied to various neuroimaging data types, including EEG, MRI, and PET scans
- Highlights methodologies like CNNs and RNNs
- Includes real-world case studies that demonstrate how deep learning enhances research and clinical applications, such as identifying biomarkers for Alzheimer’s disease and stroke
Editorial Reviews
About the Author
Dr. Karthik Ramamurthy obtained his Doctoral degree from Vellore Institute of Technology, India and Master’s degree from Anna University, India. Currently, He serves as Associate Professor in the Research Centre for Cyber Physical Systems, Vellore Institute of Technology, Chennai. His research interest includes Artificial Intelligence, Deep Learning, Computer Vision, Digital Image Processing, and Medical Image Analysis. He has published around 80 papers in peer reviewed journals and conferences. He is an active reviewer for journals published by Elsevier, IEEE Springer and Nature.
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PDF | 5 MB | 2026-03-27
