Neurological disorders and imaging physics.
"Version: 20201201"--Title page verso.Includes bibliographical references.1. Diagnostic models for attention-deficit hyperactivity disorder based on neuroimaging methods / Xunheng Wang and Lihua Li -- 2. Application of machine learning algorithms to diagnosis attention deficit hyperactivity disorder / Saedeh Tahery and Saeed Farzi -- 3. Classification of attention deficit hyperactivity disorder (ADHD) by using statistical features of MR images / Gulay Cicek and Aydin Akan -- 4. The new methods of application to attention deficit hyperactivity disorder / Yunhee Shin and Won-Seok Kang -- 5. Resting-state functional magnetic resonance imaging (R-FMRI) as a potential tool for early diagnosis and outcome prediction in attention deficit hyperactivity disorder (ADHD) / Victor Pereira-Sanchez and Pilar de Castro-Manglano -- 6. Brain networks related to automatic and controlled processes in ADHD / Rosa Angela Fabio and Tindara Capr?i -- 7. Attention deficit and hyperactivity disorder (ADHD) and criminal behavior : a criminological viewpoint / Marc Ruffinengo and Anthony Walsh -- 8. Supporting academic activities of children with developmental disorders and off-task behavior through technological aids and cognitive-behavioral strategies : a selective overview / Fabrizio Stasolla and Alessandro O. Caff?o -- 9. Neuroimaging in attention deficit hyperactivity disorder / Pankhuree Vandana, Shikha Verma and L Eugene Arnold -- 10. Application of augmented reality in education of attention deficit hyperactive disorder (ADHD) children / Nor Azlina Ab Aziz and Kamarulzaman Ab Aziz.Attention deficit hyperactivity disorder (ADHD) is a common neurological disorder that impacts focus, self-control, and other skills important in daily life. Caused by differences in brain anatomy and wiring, it is known to be one of the most common conditions in childhood. As ADHD plays a serious role in how children function in school and in their everyday life, having a deep understanding of this neurological condition is critical. This book explores recent advances in neuroimaging techniques, methods, applications and machine learning algorithms.Academia and researchers in Graduate students in medical imaging and neurology.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Ayman El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, Kentucky. Dr. El-Baz has 17 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. In 2009, he was named a Coulter Fellow for his contributions to the field of biomedical translational research. He has authored or co-authored more than 500 technical articles across journals, books, book chapters, conference papers, abstracts, and US patents and Disclosures. Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. He received his PhD from the University of Washington, Seattle and his Business Management Sciences degree from Weatherhead, Case Western Reserve University, Cleveland, Ohio. Dr. Suri was crowned with President's Gold medal in 1980 and made Fellow of the American Institute of Medical and Biological Engineering for his outstanding contributions. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management. He was also awarded a Fellow of American Institute of Ultrasound in Medicine in 2019 and a Fellow of Asia Pacific Vascular Society in 2020.Title from PDF title page (viewed on January 14, 2021).
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