Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases aspires to serve as a comprehensive resource that delves deep into the integration of deep learning methodologies with the intricate terrain of neuroscientific principles for the early detection of neurodegenerative disorders. This book is designed for audiences comprising researchers, clinicians, and professionals straddling the realms of neurology, artificial intelligence, machine learning, and biomedical engineering. It caters to the aspirations of graduate students and postdoctoral researchers engaged in unraveling the mysteries of neurodegenerative diseases. Industry veterans with an eye for developing diagnostic tools and technologies will find a treasure trove of wisdom within its pages. For those with a fervent passion for comprehending the multifaceted applications of deep learning in early disease detection and the desire to propel progress in the field, this book is an invaluable resource. Additionally, policymakers and healthcare administrators, resolute in their mission to enhance diagnostic practices and elevate patient care standards for neurodegenerative disorders, will find this publication both enlightening and thought-provoking. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.
Author Biography:
Dr. Raul Villamarin Rodriguez is the Vice President at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation Applications in Human Resources from San Miguel University, Mexico. Under his leadership, Woxsen University has partnered with 50+ Leading Universities in 35 countries across 6 continents. He has been instrumental in bringing International Exchange Programs & Research opportunities with the said global partner universities for students and faculty. His areas of expertise span across the domain of Artificial Intelligence and Quantum Artificial Intelligence, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Data Analytics (Big Data), Cybersecurity Management and Knowledge Engineering. Dr. Raul has been part of significant research during his tenure, primarily through RRBM, GRLI, and PRME. He has also played vital roles in organizing renowned educational symposiums for institutions like the Oxford Brookes University, UK and European Union-government bodies in Brussels, Belgium. A young achiever, Dr. Raul, has recently been awarded in the Europe India 40 under 40 Leaders and nominated in Forbes 30 Under 30 Europe 2020. His achievements also highlight him as a registered expert in Artificial Intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission. Treading the path of thought leadership in the education domain, Dr. Raul has made his place as a member of international bodies such as GRLI Deans and Directors cohort, Harvard Business Review Advisory Council, and the Institute for Robotics Process Automation & Artificial Intelligence (IRPA AI). As a staunch knowledge contributor to his field of expertise, Dr. Raul is frequently seen as the keynote speaker and panel moderator at various national and international conferences. In addition, he has co-authored two reference books: New Age Leadership: A Critical Insight and Retail Store'e and has more than 70 publications to his credit. He is also a weekly contributing writer to various magazines, a notable journal reviewer, and an associate editor in renowned publications such as IEEE. Hemachandran Kannan holds the Area Chair of the Analytics Department at Woxsen University. Dr. Hemachandran is an Advisory board member at APT AI Labs, LLC. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 – 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries such as Advertflair, LLC, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications.
