Demonstrating Quality Control Qc Procedures In Fmri

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Demonstrating Quality Control Qc Procedures In Fmri

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Author : Paul A. Taylor
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-29

Demonstrating Quality Control Qc Procedures In Fmri written by Paul A. Taylor and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-29 with Science categories.

Explainable Ai In Healthcare And Medicine

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Author : Arash Shaban-Nejad
language : en
Publisher: Springer Nature
Release Date : 2020-11-02

Explainable Ai In Healthcare And Medicine written by Arash Shaban-Nejad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Technology & Engineering categories.

This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.

Frontiers In Neuroinformatics Editor S Pick 2021

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Author : Jan G. Bjaalie
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-08

Frontiers In Neuroinformatics Editor S Pick 2021 written by Jan G. Bjaalie and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-08 with Science categories.

Mri From Picture To Proton

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Author : Donald W. McRobbie
language : en
Publisher: Cambridge University Press
Release Date : 2003

Mri From Picture To Proton written by Donald W. McRobbie and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Medical categories.

Presents the basics of MR practice and theory as the practitioner first meets them.

Index To Theses With Abstracts Accepted For Higher Degrees By The Universities Of Great Britain And Ireland And The Council For National Academic Awards

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Author :
language : en
Publisher:
Release Date : 2004

Index To Theses With Abstracts Accepted For Higher Degrees By The Universities Of Great Britain And Ireland And The Council For National Academic Awards written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Dissertations, Academic categories.

Theses on any subject submitted by the academic libraries in the UK and Ireland.

Machine Learning In Medical Imaging

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Author : Qian Wang
language : en
Publisher: Springer
Release Date : 2017-09-06

Machine Learning In Medical Imaging written by Qian Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-06 with Computers categories.

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

Mri Atlas Of Human White Matter

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Author : Kenichi Oishi
language : en
Publisher:
Release Date : 2010-10

Mri Atlas Of Human White Matter written by Kenichi Oishi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10 with Medical categories.

The first edition of MRI Atlas of Human White Matter was then and remains the only atlas to provide detailed anatomy of human brain white matter. Knowledge of this anatomy via diffusion tensor imaging greatly enhances our understanding of brain function and neural connectivity. These advances promise to be particularly helpful in regard to neurological diseases, for example, distinguishing Alzheimer's from other types of dementia. Chapters in the second edition will cover an introduction and description of the methodology, the 3D anatomy of individual tracts, and a series of color-coded orient

Handbook Of Functional Connectivity Magnetic Resonance Imaging Methods In Conn

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Author : Alfonso Nieto-Castanon
language : en
Publisher: Hilbert Press
Release Date : 2020-01-31

Handbook Of Functional Connectivity Magnetic Resonance Imaging Methods In Conn written by Alfonso Nieto-Castanon and has been published by Hilbert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Science categories.

This handbook describes methods for processing and analyzing functional connectivity Magnetic Resonance Imaging (fcMRI) data using the CONN toolbox, a popular freely-available functional connectivity analysis software. Content description [excerpt from introduction] The first section (fMRI minimal preprocessing pipeline) describes standard and advanced preprocessing steps in fcMRI. These steps are aimed at correcting or minimizing the influence of well-known factors affecting the quality of functional and anatomical MRI data, including effects arising from subject motion within the scanner, temporal and spatial image distortions due to the sequential nature of the scanning acquisition protocol, and inhomogeneities in the scanner magnetic field, as well as anatomical differences among subjects. Even after these conventional preprocessing steps, the measured blood-oxygen-level-dependent (BOLD) signal often still contains a considerable amount of noise from a combination of physiological effects, outliers, and residual subject-motion factors. If unaccounted for, these factors would introduce very strong and noticeable biases in all functional connectivity measures. The second section (fMRI denoising pipeline) describes standard and advanced denoising procedures in CONN that are used to characterize and remove the effect of these residual non-neural noise sources. Functional connectivity Magnetic Resonance Imaging studies attempt to quantify the level of functional integration across different brain areas. The third section (functional connectivity measures) describes a representative set of functional connectivity measures available in CONN, each focusing on different indicators of functional integration, including seed-based connectivity measures, ROI-to-ROI measures, graph theoretical approaches, network-based measures, and dynamic connectivity measures. Second-level analyses allow researchers to make inferences about properties of groups or populations, by generalizing from the observations of only a subset of subjects in a study. The fourth section (General Linear Model) describes the mathematics behind the General Linear Model (GLM), the approach used in CONN for all second-level analyses of functional connectivity measures. The description includes GLM model definition, parameter estimation, and hypothesis testing framework, as well as several practical examples and general guidelines aimed at helping researchers use this method to answer their specific research questions. The last section (cluster-level inferences) details several approaches implemented in CONN that allow researchers to make meaningful inferences from their second-level analysis results while providing appropriate family-wise error control (FWEC), whether in the context of voxel-based measures, such as when studying properties of seed-based maps across multiple subjects, or in the context of ROI-to-ROI measures, such as when studying properties of ROI-to-ROI connectivity matrices across multiple subjects.

Biomarkers In Psychiatry

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Author : Judith Pratt
language : en
Publisher: Springer
Release Date : 2019-01-05

Biomarkers In Psychiatry written by Judith Pratt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-05 with Science categories.

This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.

Fundamentals Of Brain Network Analysis

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Author : Alex Fornito
language : en
Publisher: Academic Press
Release Date : 2016-03-04

Fundamentals Of Brain Network Analysis written by Alex Fornito and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-04 with Medical categories.

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain