Learning Neuroimaging

Author : Francisco de Asís Bravo-Rodríguez,Rocío Diaz-Aguilera,Luiz Celso Hygino da Cruz Jr.
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 42,7 Mb
Release : 2011-10-26
Category : Medical
ISBN : 3642229999

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Learning Neuroimaging by Francisco de Asís Bravo-Rodríguez,Rocío Diaz-Aguilera,Luiz Celso Hygino da Cruz Jr. Pdf

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.

Author : Ahmed Abdulkadir,Seyed Mostafa Kia,Mohamad Habes,Vinod Kumar,Jane Maryam Rondina,Chantal Tax,Thomas Wolfers
Publisher : Springer Nature
Page : 185 pages
File Size : 55,8 Mb
Release : 2021-09-22
Category : Computers
ISBN : 9783030875862

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Machine Learning in Clinical Neuroimaging by Ahmed Abdulkadir,Seyed Mostafa Kia,Mohamad Habes,Vinod Kumar,Jane Maryam Rondina,Chantal Tax,Thomas Wolfers Pdf

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.

Author : Irina Rish,Georg Langs,Leila Wehbe,Guillermo Cecchi,Kai-min Kevin Chang,Brian Murphy
Publisher : Springer
Page : 129 pages
File Size : 45,9 Mb
Release : 2016-09-12
Category : Computers
ISBN : 9783319451749

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Machine Learning and Interpretation in Neuroimaging by Irina Rish,Georg Langs,Leila Wehbe,Guillermo Cecchi,Kai-min Kevin Chang,Brian Murphy Pdf

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.

Author : Anitha S. Pillai,Bindu Menon
Publisher : CRC Press
Page : 133 pages
File Size : 55,8 Mb
Release : 2024-02-15
Category : Computers
ISBN : 9781003815549

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Machine Learning and Deep Learning in Neuroimaging Data Analysis by Anitha S. Pillai,Bindu Menon Pdf

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.

Author : Georg Langs,Irina Rish,Moritz Grosse-Wentrup,Brian Murphy
Publisher : Springer
Page : 266 pages
File Size : 48,5 Mb
Release : 2012-11-11
Category : Computers
ISBN : 9783642347139

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Machine Learning and Interpretation in Neuroimaging by Georg Langs,Irina Rish,Moritz Grosse-Wentrup,Brian Murphy Pdf

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.

Author : Luping Zhou,Duygu Sarikaya,Seyed Mostafa Kia,Stefanie Speidel,Anand Malpani,Daniel Hashimoto,Mohamad Habes,Tommy Löfstedt,Kerstin Ritter,Hongzhi Wang
Publisher : Springer Nature
Page : 114 pages
File Size : 50,6 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9783030326951

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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging by Luping Zhou,Duygu Sarikaya,Seyed Mostafa Kia,Stefanie Speidel,Anand Malpani,Daniel Hashimoto,Mohamad Habes,Tommy Löfstedt,Kerstin Ritter,Hongzhi Wang Pdf

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.

Author : Seyed Mostafa Kia,Hassan Mohy-ud-Din,Ahmed Abdulkadir,Cher Bass,Mohamad Habes,Jane Maryam Rondina,Chantal Tax,Hongzhi Wang,Thomas Wolfers,Saima Rathore,Madhura Ingalhalikar
Publisher : Springer Nature
Page : 319 pages
File Size : 55,9 Mb
Release : 2020-12-30
Category : Computers
ISBN : 9783030668433

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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology by Seyed Mostafa Kia,Hassan Mohy-ud-Din,Ahmed Abdulkadir,Cher Bass,Mohamad Habes,Jane Maryam Rondina,Chantal Tax,Hongzhi Wang,Thomas Wolfers,Saima Rathore,Madhura Ingalhalikar Pdf

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.

Author : Mohammad Khosravi
Publisher : Frontiers Media SA
Page : 193 pages
File Size : 41,5 Mb
Release : 2022-12-02
Category : Science
ISBN : 9782832508404

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Mild Cognitive Impairment Recognition Via Gene Expression Mining and Neuroimaging Techniques by Mohammad Khosravi Pdf

Author : Manoj Mannil,Sebastian F.-X. Winklhofer
Publisher : Springer Nature
Page : 340 pages
File Size : 50,5 Mb
Release : 2020-08-11
Category : Medical
ISBN : 9783030484194

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Neuroimaging Techniques in Clinical Practice by Manoj Mannil,Sebastian F.-X. Winklhofer Pdf

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.

Author : Mark Jenkinson,Michael Chappell
Publisher : Oxford University Press
Page : 277 pages
File Size : 44,6 Mb
Release : 2018
Category : Medical
ISBN : 9780198816300

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Introduction to Neuroimaging Analysis by Mark Jenkinson,Michael Chappell Pdf

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'

Author : Bärbel Hüsing,Lutz Jäncke,Brigitte Tag
Publisher : vdf Hochschulverlag AG
Page : 369 pages
File Size : 41,7 Mb
Release : 2006
Category : Brain
ISBN : 9783728130655

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Impact Assessment of Neuroimaging by Bärbel Hüsing,Lutz Jäncke,Brigitte Tag Pdf

Author : G. Reid Lyon,Judith M. Rumsey
Publisher : Unknown
Page : 300 pages
File Size : 50,6 Mb
Release : 1996
Category : Brain
ISBN : UVA:X004157646

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Neuroimaging by G. Reid Lyon,Judith M. Rumsey Pdf

Written in an easy-to-read style, this resou rce is designed to help individuals not familiar with neuroi maging to understand the clinical utility of different proce dures and their clinical applications to specific and relate d disorders. '

Author : Jay J. Pillai
Publisher : Elsevier Health Sciences
Page : 209 pages
File Size : 40,9 Mb
Release : 2017-10-11
Category : Medical
ISBN : 9780323548922

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Functional Connectivity, An Issue of Neuroimaging Clinics of North America by Jay J. Pillai Pdf

This issue of Neuroimaging Clinics of North America focuses on Functional Connectivity, and is edited by Dr. Jay Pillai. Articles will include: Applications of rs-fMRI to presurgical mapping: sensorimotor mapping; Dynamic functional connectivity methods; Machine learning applications to rs-fMRI analysis; Frequency domain analysis of rs-fMRI; Applications of rs-fMRI to epilepsy; Data-driven analysis methods for rs-fMRI; Applications of rs-fMRI to presurgical mapping: language mapping; Limitations of rs-fMRI in the setting of focal brain lesions; Applications of rs-fMRI to neuropsychiatric disease; Applications of rs-fMRI to Traumatic Brain Injury; Applications of rs-fMRI to neurodegenerative disease; Graph theoretic analysis of rs-fMRI; and more!

Author : John R Absher,Jasmin Cloutier
Publisher : Academic Press
Page : 420 pages
File Size : 55,6 Mb
Release : 2016-01-30
Category : Medical
ISBN : 9780128011669

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Neuroimaging Personality, Social Cognition, and Character by John R Absher,Jasmin Cloutier Pdf

Neuroimaging Personality, Social Cognition, and Character covers the science of combining brain imaging with other analytical techniques for use in understanding cognition, behavior, consciousness, memory, language, visual perception, emotional control, and other human attributes. Multidimensional brain imaging research has led to a greater understanding of character traits such as honesty, generosity, truthfulness, and foresight previously unachieved by quantitative mapping. This book summarizes the latest brain imaging research pertaining to character with structural and functional human brain imaging in both normal individuals and those with brain disease or disorder, including psychiatric disorders. By reviewing and synthesizing the latest structural and functional brain imaging research related to character, this book situates itself into the larger framework of cognitive neuroscience, psychiatric neuroimaging, related fields of research, and a wide range of academic fields, such as politics, psychology, medicine, education, law, and religion. Provides a novel innovative reference on the emerging use of neuroimaging to reveal the biological substrates of character, such as optimism, honesty, generosity, and others Features chapters from leading physicians and researchers in the field Contains full-color text that includes both an overview of multiple disciplines and a detailed review of modern neuroimaging tools as they are applied to study human character Presents an integrative volume with far-reaching implications for guiding future imaging research in the social, psychological and medical sciences, and for applying these findings to a wide range of non-clinical disciplines such as law, politics, and religion Connects brain structure and function to human character and integrates modern neuroimaging techniques and other research methods for this purpose

Author : Stephan Chalup,Alan D. Blair,Marcus Randall
Publisher : Springer
Page : 448 pages
File Size : 52,7 Mb
Release : 2015-01-10
Category : Computers
ISBN : 9783319148038

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Artificial Life and Computational Intelligence by Stephan Chalup,Alan D. Blair,Marcus Randall Pdf

This book constitutes the refereed proceedings of the First Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015, held in Newcastle, NSW, Australia, in February 2015. The 34 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in the following topical sections: philosophy and theory; game environments and methods; learning, memory and optimization; and applications and implementations.