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Neurological Disorders and Imaging Physics, Volume 3

Application to autism spectrum disorders and Alzheimer's
Ayman El-Baz, Jasjit S Suri

Description

Autism spectrum disorder (ASD) and Alzheimer's disease (AD) are two significant neurological disorders, which represent the scope of this book. Both ASD and AD affect a significant number of the population and present in numerous ways. This volume covers the state-of-the-art topics that investigate these two significant neurological disorders from a theoretical perspective and focuses on the practical aspects. Materials are presented in a way that can be beneficial to advanced and layman readers and several cutting-edge machine learning techniques for the early diagnosis of ASD are presented in this book. Also, various studies are discussed to demonstrate the formation, cause, and medical treatments for the AD foetal disorder.


About Editors

Ayman El-Baz is a professor, university scholar and the chair of the Bioengineering Department at the University of Louisville, Kentucky. He earned his BSc and MSc in electrical engineering in 1997 and 2001, respectively. He earned his PhD in electrical engineering from the University of Louisville in 2006, and has 17 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems.

Jasjit S Suri is an innovator, scientist, visionary, industrialist and internationally known world leader in biomedical engineering. He has spent more than 25 years in the field of biomedical engineering and its management, and in 2018 he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management.


Table of Contents

 

Table of Contents

 

Preface

Acknowledgement

Dedication

Chapter 1. Machine Learning Applications to Recognize Autism and Alzheimer's disease

Chapter 2. Neuropathology and Neuroimaging of Alzheimer´s disease

Chapter 3. Retinal Imaging in Alzheimer's Disease

Chapter 4. Clinically Relevant Depression And Risk Of Alzheimer Disease In Olders: Meta-Analysis Of Cohort Studies

Chapter 5. The Implication of Genetic Factors in Autism Spectrum Disorder and Alzheimer's disease

Chapter 6. Nuclear Neurology of Autism Spectrum Disorders

Chapter 7. Ethylene and ammonia in neurobehavioral disorders

Chapter 8. Focusing on Parental Behavior Following a Diagnosis of Autism: The Important Role Parents Play and How Stress Can Impact this Role

Chapter 9. Visual saliency for medical imaging and computer-aided diagnosis

Chapter 10. The Early Diagnosis of Alzheimer's Disease Using Advanced Biomedical Engineering Technology

Chapter 11. A Local/Regional Computer Aided System for the Diagnosis of the Mild Cognitive Impairment

Chapter 12. Identifying Alzheimer's Disease using Feature Reduction of GLCM and Supervised Classification Techniques

Chapter 13. Current Trends and Considerations of Alzheimer's Disease

Chapter 14. A Non-Invasive Image-Based Approach Toward an Early Diagnosis of Autism

Chapter 15. Towards a Robust CAD System for Early Diagnosis of Autism Using Structural MRI

Chapter 16. Computational Analysis Techniques: A Case Study on fMRI for Autism Spectrum Disorder

Chapter 17. Autism Diagnosis Using Task-Based Functional MRI

 


Bibliographic

Hardback ISBN: 9780750317641

Ebook ISBN: 9780750317931

DOI: 10.1088/978-0-7503-1793-1

Publisher: Institute of Physics Publishing

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