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Learning Neuroimaging
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Author :Francisco de Asís Bravo-Rodríguez Publisher :Springer Science & Business Media ISBN 13 :3642229999 Total Pages :239 pages Book Rating :4.6/5 (422 download)
Book Synopsis Learning Neuroimaging by : Francisco de Asís Bravo-Rodríguez
Download or read book Learning Neuroimaging written by Francisco de Asís Bravo-Rodríguez and published by Springer Science & Business Media. This book was released on 2011-10-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended as an introduction to neuroradiology and aims to provide the reader with a comprehensive overview of this highly specialized radiological subspecialty. One hundred illustrated cases from clinical practice are presented in a standard way. Each case is supported by representative images and is divided into three parts: a brief summary of the patient’s medical history, a discussion of the disease, and a description of the most characteristic imaging features of the disorder. The focus is not only on common neuroradiological entities such as stroke and acute head trauma but also on less frequent disorders that the practitioner should recognize. Learning Neuroimaging: 100 Essential Cases is an ideal resource for neuroradiology and radiology residents, neurology residents, neurosurgery residents, nurses, radiology technicians, and medical students.
Book Synopsis Machine Learning in Clinical Neuroimaging by : Ahmed Abdulkadir
Download or read book Machine Learning in Clinical Neuroimaging written by Ahmed Abdulkadir and published by Springer Nature. This book was released on 2021-09-22 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021, held on September 27, 2021, in conjunction with MICCAI 2021. The workshop was held virtually due to the COVID-19 pandemic. The 17 papers presented in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections named: computational anatomy and brain networks and time series.
Book Synopsis Oxford Textbook of Neuroimaging by : Massimo Filippi
Download or read book Oxford Textbook of Neuroimaging written by Massimo Filippi and published by Oxford Textbooks in Clinical N. This book was released on 2015 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of the Oxford Textbooks in Clinical Neurology series, the Oxford Textbook of Neuroimaging provides an overview of the established and latest neuroimaging methodologies, and illustrates their application to the main diseases of the brain and the spinal cord including movement disorders, headache and stroke. In addition, assessments of neuroimaging techniques in both adult and paediatric neurological conditions are included, enabling thorough examples from both age groups. This full-colour book contains 280 detailed photographs and illustrations that enable a clear understanding of each technique. Covering the newest advances, each different imagining technique is comprehensively described, providing a practical relevance and a stimulus for more in-depth readings. The print edition is supplemented with a concurrent online edition, which allows access to the full content of the textbook, contains links from the references to primary research journal articles, and provides access to figures and tables that can be downloaded by the user. Providing a balanced state-of-the-art guide to neuroimaging for neurologists and radiologists, this title will enhance understanding of the pathophysiological basis of neurological conditions and will help set the stage for future research.
Book Synopsis Machine Learning and Interpretation in Neuroimaging by : Irina Rish
Download or read book Machine Learning and Interpretation in Neuroimaging written by Irina Rish and published by Springer. This book was released on 2016-09-12 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014. The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series. In addition, the book contains the 3 best papers presented at MLINI 2013.
Book Synopsis Handbook of Functional Neuroimaging of Cognition, second edition by : Roberto Cabeza
Download or read book Handbook of Functional Neuroimaging of Cognition, second edition written by Roberto Cabeza and published by MIT Press. This book was released on 2006-05-05 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of the essential resource on using functional neuroimaging techniques to study the neural basis of cognition, revised with the student in mind; thoroughly updated, with new chapters on fMRI physics, skill learning, emotion and social cognition, and other topics. This essential resource on neuroimaging provides an accessible and user-friendly introduction to the field written by leading researchers. The book describes theoretical and methodological developments in the use of functional neuroimaging techniques to study the neural basis of cognition, from early scientific efforts to link brain and behavior to the latest applications of fMRI and PET methods. The core of the book covers fMRI and PET studies in specific domains: attention, skill learning, semantic memory, language, episodic memory, working memory, and executive functions. By introducing a technique within the description of a domain, the book offers a clear explanation of the process while highlighting its biological context. The emphasis on readability makes Handbook of Functional Neuroimaging of Cognition ideal for classroom use in advanced undergraduate and graduate courses in cognitive neuroscience. This second edition has been completely updated to reflect new developments in the field, with existing chapters rewritten and new chapters added to each section. The section on history and methods now includes a chapter on the crucial topic of the physics of functional neuroimaging; the chapters on skill learning and executive functions are new to the domain section; and chapters on childhood development and emotion and social cognition have been added to the section on developmental, social, and clinical applications. The color insert has been increased in size, enhancing the visual display of representative findings. Contributors Todd S. Braver, Jeffrey Browndyke, Roberto Cabeza, B.J. Casey, Jody Culham, Clayton E. Curtis, Mark D'Esposito, Sander Daselaar, Lila Davachi, Ian Dobbins, Karl J. Friston, Barry Giesbrecht, Todd C. Handy, Joseph B. Hopfinger, Scott A. Huettel, Irene P. Kan, Alan Kingstone, Eleni Kotsoni, Kevin S. LaBar, George R. Mangun, Gregory McCarthy, Uta Noppeney, Robyn T. Oliver, Elizabeth A. Phelps, Russel A. Poldrack, Cathy J. Price, Marcus E. Raichle, Hannes Ruge, Gaia Scerif, Allen W. Song, Sharon L. Thompson-Schill, Daniel T. Willingham, Richard J.S. Wise
Book Synopsis Introduction to Neuroimaging Analysis by : Mark Jenkinson
Download or read book Introduction to Neuroimaging Analysis written by Mark Jenkinson and published by Oxford University Press. This book was released on 2018 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible primer gives an introduction to the wide array of MRI-based neuroimaging methods that are used in research. It provides an overview of the fundamentals of what different MRI modalities measure, what artifacts commonly occur, the essentials of the analysis, and common 'pipelines'
Book Synopsis Machine Learning in Clinical Neuroscience by : Victor E. Staartjes
Download or read book Machine Learning in Clinical Neuroscience written by Victor E. Staartjes and published by Springer Nature. This book was released on 2021-12-03 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.
Book Synopsis Neuroimaging Techniques in Clinical Practice by : Manoj Mannil
Download or read book Neuroimaging Techniques in Clinical Practice written by Manoj Mannil and published by Springer Nature. This book was released on 2020-08-11 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a concise overview of emerging technologies in the field of modern neuroimaging. Fundamental principles of the main imaging modalities are described as well as advanced imaging techniqes including diffusion weighted imaging, perfusion imaging, arterial spin labeling, diffusion tensor imaging, intravoxel incoherent motion, MR spectroscopy, functional MRI, and artificial intelligence. The physical concepts underlying each imaging technique are carefully and clearly explained in a way suited to a medical audience without prior technical knowledge. In addition, the clinical applications of the various techniques are described with the aid of illustrative clinical examples. Helpful background information is also presented on the core principles of MRI and the evolution of neuroimaging, and important references to current medical research are highlighted. The book will meet the needs of a range of non-technological professionals with an interest in advanced neuroimaging, including radiology researchers and clinicians in the fields of neurology, neurosurgery, and psychiatry.
Book Synopsis OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging by : Luping Zhou
Download or read book OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging written by Luping Zhou and published by Springer Nature. This book was released on 2019-10-10 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment. MLCN 2019 accepted 6 papers out of 7 submissions for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.
Book Synopsis Machine Learning and Deep Learning in Neuroimaging Data Analysis by : Anitha S. Pillai
Download or read book Machine Learning and Deep Learning in Neuroimaging Data Analysis written by Anitha S. Pillai and published by CRC Press. This book was released on 2024-02-15 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.
Book Synopsis Machine Learning and Interpretation in Neuroimaging by : Georg Langs
Download or read book Machine Learning and Interpretation in Neuroimaging written by Georg Langs and published by Springer. This book was released on 2012-11-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.
Book Synopsis Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology by : Seyed Mostafa Kia
Download or read book Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology written by Seyed Mostafa Kia and published by Springer Nature. This book was released on 2020-12-30 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. *The workshops were held virtually due to the COVID-19 pandemic.
Book Synopsis Neuroimaging: The Essentials by : Pina Sanelli
Download or read book Neuroimaging: The Essentials written by Pina Sanelli and published by Lippincott Williams & Wilkins. This book was released on 2015-09-04 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zero in on the most important neurologic and head and neck imaging knowledge with Neuroimaging: The Essentials! Ideal as an efficient learning tool for residents as well as a quick refresher for experienced radiologists, this radiology reference covers brain and spine neuroimaging as well as otolaryngologic imaging, putting indispensable information at your fingertips in a compact and practical, high-yield format.
Book Synopsis When I'm 64 by : National Research Council
Download or read book When I'm 64 written by National Research Council and published by National Academies Press. This book was released on 2006-02-13 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: By 2030 there will be about 70 million people in the United States who are older than 64. Approximately 26 percent of these will be racial and ethnic minorities. Overall, the older population will be more diverse and better educated than their earlier cohorts. The range of late-life outcomes is very dramatic with old age being a significantly different experience for financially secure and well-educated people than for poor and uneducated people. The early mission of behavioral science research focused on identifying problems of older adults, such as isolation, caregiving, and dementia. Today, the field of gerontology is more interdisciplinary. When I'm 64 examines how individual and social behavior play a role in understanding diverse outcomes in old age. It also explores the implications of an aging workforce on the economy. The book recommends that the National Institute on Aging focus its research support in social, personality, and life-span psychology in four areas: motivation and behavioral change; socioemotional influences on decision-making; the influence of social engagement on cognition; and the effects of stereotypes on self and others. When I'm 64 is a useful resource for policymakers, researchers and medical professionals.
Download or read book Brain Imaging written by Paul C. Lebby and published by Oxford University Press. This book was released on 2013-04 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to provide a foundation of information necessary to those wishing to integrate brain imaging into their practice or who seek more training. Information is provided to assist the clinician in interpreting images, determining which scans to order, and how images should be used in the clinic.
Book Synopsis Handbook of Neuroimaging Data Analysis by : Hernando Ombao
Download or read book Handbook of Neuroimaging Data Analysis written by Hernando Ombao and published by CRC Press. This book was released on 2016-11-18 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.
Book Synopsis Advanced Brain Neuroimaging Topics in Health and Disease by : Dorina Papageorgiou
Download or read book Advanced Brain Neuroimaging Topics in Health and Disease written by Dorina Papageorgiou and published by BoD – Books on Demand. This book was released on 2014-05-31 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain is the most complex computational device we know, consisting of highly interacting and redundant networks of areas, supporting specific brain functions. The rules by which these areas organize themselves to perform specific computations have only now started to be uncovered. Advances in non-invasive neuroimaging technologies have revolutionized our understanding of the functional anatomy of cortical circuits in health and disease states, which is the focus of this book. The first section of this book focuses on methodological issues, such as combining functional MRI technology with other brain imaging modalities. The second section examines the application of brain neuroimaging to understand cognitive, visual, auditory, motor and decision-making networks, as well as neurological diseases. The use of non-invasive neuroimaging technologies will continue to stimulate an exponential growth in understanding basic brain processes, largely as a result of sustained advances in neuroimaging methods and applications.
