Connectomics : Applications to Neuroimaging
Language: English
Published by Elsevier Inc Sep 2018, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 168.11
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Add to basketItem description from seller
Neuware - Connectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer's, epilepsy, stroke, autism, Parkinson's, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment. With this book the reader will learn: Basic mathematical principles underlying connectomics How connectomics is applied to a wide range of neuro-applications What is the future direction of connectomics techniques. This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods. Features: Combines connectomics methods with relevant and interesting neuro-applications Covers most of the hot topics in neuroscience and clinical areas Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics.…
Seller Inventory # 9780128138380
- Title
- Connectomics : Applications to Neuroimaging
- Author
- Guorong Wu
- Publisher
- Elsevier Inc Sep 2018
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0128138386
- ISBN 13
- 9780128138380
- Item weight
- 411 grams
- Dimensions
- 235x191x12 mm
- Series
- Book 7 of 9: The MICCAI Society book
Connectomics: Applications to Neuroimaging is unique in presenting the frontier of neuro-applications using brain connectomics techniques. The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer's, epilepsy, stroke, autism, Parkinson's, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment.
With this book the reader will learn:
- Basic mathematical principles underlying connectomics
- How connectomics is applied to a wide range of neuro-applications
- What is the future direction of connectomics techniques.
This book is an ideal reference for researchers and graduate students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how computational models derived from brain connectivity data are being used in clinical applications, as well as neuroscientists and medical researchers wanting an overview of the technical methods.
Features:
- Combines connectomics methods with relevant and interesting neuro-applications
- Covers most of the hot topics in neuroscience and clinical areas
- Appeals to researchers in a wide range of disciplines: computer science, engineering, data science, mathematics, computational physics, computational neuroscience, as well as neuroscience, and medical researchers interested in the technical methods of connectomics
"Synopsis" may belong to another edition of this title.
About the Author
Guorong Wu is an Assistant Professor of Radiology and Biomedical Research Imaging Center (BRIC) in the University of North Carolina at Chapel Hill. Dr. Wu received his PhD degree from the Department of Computer Science in Shanghai Jiao Tong University in 2007. After graduation, he worked for Pixelworks and joined University of North Carolina at Chapel Hill in 2009. Dr. Wu’s research aims to develop computational tools for biomedical imaging analysis and computer assisted diagnosis. He is interested in medical image processing, machine learning and pattern recognition. He has published more than 100 papers in the international journals and conferences. Dr. Wu is actively in the development of medical image processing software to facilitate the scientific research on neuroscience and radiology therapy.
Dr Leonardo Bonilha is a neurologist and clinical researcher, working within neurophysiology, epilepsy, language problems and stroke. His research focuses on understanding structural and functional network adaptations to brain injury, particularly regarding language impairments (aphasia) after stroke and its recovery. He also studies neuronal networks associated with epilepsy and its response to treatment. His main research tools focus around Structural and functional MRI, neurophysiology (scalp and intracranial EEG) as well as behavioral language treatments for language.
Paul Laurienti completed his MD and PhD training at the University of Texas Medical Branch at Galveston in 1999. He completed a research fellowship at Wake Forest School of Medicine and became an assistant professor in the Department of Radiology in 2002. He has since achieved the level of tenured full professor and has published over 100 peer-reviewed manuscripts. He is the Director of the Laboratory for Complex Brain Networks and leads an interdisciplinary group of scientists. They use functional and structural brain imaging combined with network science to study the brain as an integrated system. His current research focuses on methodological development and the application of network methods to neuroscientific questions.
"About the title" may belong to another edition of this title.
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