Deep Learning Applications in Neuroinformatics: Advances, Methods, and Perspectives explores how deep learning revolutionizes neuroinformatics. This book covers the latest methods and applications of deep learning in analyzing neuroimaging data from EEG, MRI, PET, and more. It addresses critical neurological disorders like Alzheimer’s disease, Mild Cognitive Impairment, Stroke, and Autism Spectrum Disorder. The book bridges the gap between neuroscience and artificial intelligence, making it ideal for researchers, practitioners, and students. It offers insights from leading experts and provides a clear pathway from fundamental concepts to advanced research and future trends in the field.
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 Alzheimers 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 Parkinsons 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
Dr. Karthik Ramamurthy obtained his Doctoral degree from Vellore Institute of Technology, India and Masters 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.
