Pattern Analysis Of The Human Connectome
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Pattern Analysis Of The Human Connectome
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Author : Dewen Hu
language : en
Publisher: Springer Nature
Release Date : 2019-11-12
Pattern Analysis Of The Human Connectome written by Dewen Hu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Medical categories.
This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.
Connectome Analysis
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Author : Markus D. Schirmer
language : en
Publisher: Academic Press
Release Date : 2023-06-30
Connectome Analysis written by Markus D. Schirmer and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Psychology categories.
Connectome Analysis: Characterization, Methods, and Analysis is a comprehensive companion for the analysis of brain networks, or connectomes. The book provides sources of constituent structural and functional MRI signals, network construction and practices for analysis, cutting-edge methods that address the latest challenges in neuroscience, and the fundamentals of network theory in the context of giving practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. Subsequent chapters discuss networks in neuroscience in clinical and general populations, including how findings are related to underlying neurophysiology and neuropsychology. This book is aimed at students and early-career researchers in brain connectomics and neuroimaging who have a background in computer science, mathematics and physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research. - Provides practical recommendations on how to construct, assess and analyze brain networks - Gives an understanding of all the technical methods for connectome analysis - Presents the basic network theoretical principles typically used in neuroscience - Covers the latest tools and data repositories that are freely available for the reader to carry out connectomic analyses
Medical Image Computing And Computer Assisted Intervention Miccai 2015
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Author : Nassir Navab
language : en
Publisher: Springer
Release Date : 2015-09-28
Medical Image Computing And Computer Assisted Intervention Miccai 2015 written by Nassir Navab and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-28 with Computers categories.
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.
Computer Analysis Of Images And Patterns
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Author : Mario Vento
language : en
Publisher: Springer Nature
Release Date : 2019-08-22
Computer Analysis Of Images And Patterns written by Mario Vento and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-22 with Computers categories.
This book constitutes the refereed proceedings of two workshops held at the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019, and the First Workshop on Visual Computing and Machine Learning for Biomedical Applications, ViMaBi 2019. The 12 papers presented in this volume were carefully reviewed and selected from 16 submissions and focus on all aspects of visual computing and machine learning for biomedical applications, and deep-learning based computer vision for UAV.
Medical Image Computing And Computer Assisted Intervention Miccai 2014
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Author : Polina Golland
language : en
Publisher: Springer
Release Date : 2014-08-31
Medical Image Computing And Computer Assisted Intervention Miccai 2014 written by Polina Golland and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-31 with Computers categories.
The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.
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
Discovering The Human Connectome
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Author : Olaf Sporns
language : en
Publisher: MIT Press
Release Date : 2012-08-31
Discovering The Human Connectome written by Olaf Sporns and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-31 with Medical categories.
A pioneer in the field outlines new empirical and computational approaches to mapping the neural connections of the human brain. Crucial to understanding how the brain works is connectivity, and the centerpiece of brain connectivity is the connectome, a comprehensive description of how neurons and brain regions are connected. In this book, Olaf Sporns surveys current efforts to chart these connections—to map the human connectome. He argues that the nascent field of connectomics has already begun to influence the way many neuroscientists collect, analyze, and think about their data. Moreover, the idea of mapping the connections of the human brain in their entirety has captured the imaginations of researchers across several disciplines including human cognition, brain and mental disorders, and complex systems and networks. Discovering the Human Connectome offers the first comprehensive overview of current empirical and computational approaches in this rapidly developing field.
Mapping The Connectome Multi Level Analysis Of Brain Connectivity
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Author : Trygve B. Leergaard
language : en
Publisher: Frontiers E-books
Release Date :
Mapping The Connectome Multi Level Analysis Of Brain Connectivity written by Trygve B. Leergaard and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Models Algorithms And Technologies For Network Analysis
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Author : Valery A. Kalyagin
language : en
Publisher: Springer
Release Date : 2017-06-23
Models Algorithms And Technologies For Network Analysis written by Valery A. Kalyagin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-23 with Computers categories.
This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented. Chapters in this book cover the following topics: Linear max min fairness Heuristic approaches for high-quality solutions Efficient approaches for complex multi-criteria optimization problems Comparison of heuristic algorithms New heuristic iterative local search Power in network structures Clustering nodes in random graphs Power transmission grid structure Network decomposition problems Homogeneity hypothesis testing Network analysis of international migration Social networks with node attributes Testing hypothesis on degree distribution in the market graphs Machine learning applications to human brain network studies This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.
Innovative Methods In Media And Communication Research
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Author : Sebastian Kubitschko
language : en
Publisher: Springer
Release Date : 2016-12-26
Innovative Methods In Media And Communication Research written by Sebastian Kubitschko and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-26 with Social Science categories.
This collection reflects the need for suitable methods to answer emerging questions that result from the ever-changing media environment. As media technologies and infrastructures become inseparably interwoven with social constellations, scholars from varying disciplines increasingly investigate their characteristics, functioning, relevance and impact – facing new methodological challenges as well as opportunities. Innovative Methods in Media and Communication Research engages with the substantial need to rethink established methods to research acute changes in the media environment. The book gathers chapters dedicated to the multifacetedness and liveliness of emerging methods – from lifelogging and ethnography to digital methods and visualization – while embedding them in the rich history of interdisciplinary empirical research. Innovation here is a call for widening and rethinking research methods to stimulate a sophisticated debate on and exploration of contemporary methodological approaches for scholars at various levels of academic life. Accompanied by introductory sections of prominent scholars, the majority of empirical studies gathered in this volume are accomplished through early-career scholars who strive to advance cutting-edge and in parts even provocative approaches for the study of media and communication. The book's four sections on Materiality, Technology, Experience and Visualization are introduced by Saskia Sassen, Noortje Marres, Sarah Pink and Lev Manovich.