Machine Learning for Neurodegenerative Disorders

Advancements and Applications
Herausgeber: Jena, Biswajit; Paul, Sudip; Saxena, Sanjay

• Gebundenes Buch

Produktbeschreibung

This book explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. This comprehensive resource is intended for neuroscientists, students, researchers, and neurologists to understand the emerging scope of machine learning in neurodegenerative disorders.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 288
• Erscheinungstermin: 3. April 2025
• Englisch
• Abmessung: 254mm x 178mm
• ISBN-13: 9781032660936
• ISBN-10: 1032660937
• Artikelnr.: 71850141

Autorenporträt

Dr. Biswajit Jena is an Assistant Professor in the Department of Computer Science and Engineering at ITER, SOA, Bhubaneswar, India. He received his Ph.D. from IIIT-Bhubaneswar, India, in Biomedical Image analysis and his M.Tech. degree in Computer Science and Engineering from NIT, Rourkela, India. His broad research interests are in Biomedical Image Processing, Neuro-Oncology, Radiogenomics, Machine Learning, and Deep Learning. Dr. Sanjay Saxena is an Assistant Professor in the Department of Computer Science and Engineering at IIIT, Bhubaneswar, India. He completed his postdoctoral research in AI in the Biomedical Imaging Lab, Perelman School of Medicine, University of Pennsylvania, USA, and his Ph.D. from IIT BHU, Varanasi, India. His broad area of research is implementing AI-based methods in Radiomics and Radiogenomics studies of cancer. He has edited several books and published more than 50 research articles in peer-reviewed international journals and conferences. He is also a reviewer and on the editorial board of various international peer-reviewed journals. He is also an IEEE Professional Member. Dr. Sudip Paul is currently an Assistant Professor and Teacher in Charge in the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He completed his post-doctoral research at the School of Computer Science and Software Engineering, The University of Western Australia, Perth, and his Ph.D. degree from the Indian Institute of Technology (Banaras Hindu University), Varanasi, with a specialization in Electrophysiology and brain signal analysis. Dr. Sudip has published more than 80 International journal and conference research articles. He has been granted four patents, and another five are under review. He has edited several books and is a member of different Societies and professional bodies, including IAN, APSN, ISN, IBRO, SNCI, SfN, IEEE, and IAS. He received many awards, especially the World Federation of Neurology (WFN) traveling fellowship, the Young Investigator Award, the IBRO Travel Awardee, and the ISN Travel Awardee.

Inhaltsangabe

1. Introduction to Brain Diseases. 2. Introduction to Machine Learning for
Neurodegenerative Disorders. 3. Multi-modal Neuroimaging Techniques and
Fusion in Neurodegenerative Disorders. 4. Data Collection and
Pre-processing for Neurodegenerative Disorders. 5. Machine Learning
Fundamentals for Analysis of Neurodegenerative Disorders. 6. Deep Learning
in Neurodegenerative Disorder. 7. Harnessing the Power of Neuroinformatics
and Big Data Analysis against Neurodegenerative Disorders. 8. Machine
Learning Applications in Neurodegenerative Diseases. 9. Machine Learning in
Stroke Analysis and Rehabilitation. 10. Biomarker Identification in
Neurodegenerative Disorders through Machine Learning. 11. Future Directions
and Challenges in Machine Learning Approaches for Analysis of
Neurodegenerative Disorders