Overview

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.

Full Product Details

Author:   Karthik Ramamurthy, PhD (Vellore Institute of Technology, Chennai, India)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443414596

ISBN 10:   0443414599
Pages:   364
Publication Date:   24 March 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1. Introduction to Deep Learning in Neuroinformatics 2. Fundamentals of Deep Learning in Neuroinformatics 3. Data Preprocessing and Augmentation Techniques for Neuroinformatics 4. Deep Learning for Alzheimer’s Disease and Mild Cognitive Impairment 5. Deep Learning in Stroke Detection and Rehabilitation 6. Deep Learning for Autism Spectrum Disorder 7. Deep Learning in Epilepsy Detection and Management 8. Deep Learning Applications in Parkinson’s Disease and Movement Disorders 9. Deep Learning for Multiple Sclerosis 10. Deep Learning in Traumatic Brain Injury (TBI) 11. Deep Learning for Neurodevelopmental and Psychiatric Disorders 12. Explainable AI in Neuroinformatics 13. Transfer Learning and Domain Adaptation in Neuroinformatics 14. Integrating Multi-Modal Neuroimaging and Signal Data with Deep Learning 15. Conclusion and Future Perspectives

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Author Information

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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