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Author :
Publisher :
ISBN 13 : 9783642244476
Total Pages : 174 pages
Book Rating : 4.2/5 (444 download)
Download or read book Multimodal Brain Image Analysis written by and published by . This book was released on 2011-09-26 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Pew-Thian Yap
Publisher : Springer
ISBN 13 : 3642335306
Total Pages : 235 pages
Book Rating : 4.6/5 (423 download)
Download or read book Multimodal Brain Image Analysis written by Pew-Thian Yap and published by Springer. This book was released on 2012-09-18 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 19 revised full papers presented were carefully reviewed and selected from numerous submissions. The objective of this workshop is to forward the state of the art in analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Author : Li Shen
Publisher : Springer
ISBN 13 : 3319021265
Total Pages : 268 pages
Book Rating : 4.3/5 (19 download)
Download or read book Multimodal Brain Image Analysis written by Li Shen and published by Springer. This book was released on 2013-08-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.
Author : Tianming Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3642244459
Total Pages : 170 pages
Book Rating : 4.6/5 (422 download)
Download or read book Multimodal Brain Image Analysis written by Tianming Liu and published by Springer Science & Business Media. This book was released on 2011-09-15 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Author : Li Shen
Publisher :
ISBN 13 : 9783319021270
Total Pages : 274 pages
Book Rating : 4.0/5 (212 download)
Download or read book Multimodal Brain Image Analysis written by Li Shen and published by . This book was released on 2013-08-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Danail Stoyanov
Publisher : Springer
ISBN 13 : 3030008894
Total Pages : 401 pages
Book Rating : 4.0/5 (3 download)
Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by Danail Stoyanov and published by Springer. This book was released on 2018-09-19 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Author : Dajiang Zhu
Publisher : Springer Nature
ISBN 13 : 3030332268
Total Pages : 230 pages
Book Rating : 4.0/5 (33 download)
Download or read book Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy written by Dajiang Zhu and published by Springer Nature. This book was released on 2019-10-10 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected. The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications. The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.
Author : M. Jorge Cardoso
Publisher : Springer
ISBN 13 : 3319675583
Total Pages : 385 pages
Book Rating : 4.3/5 (196 download)
Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Author : Yu Liu
Publisher : Frontiers Media SA
ISBN 13 : 2832513883
Total Pages : 163 pages
Book Rating : 4.8/5 (325 download)
Download or read book Multimodal Brain Image Fusion: Methods, Evaluations, and Applications written by Yu Liu and published by Frontiers Media SA. This book was released on 2023-02-06 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tianming Liu
Publisher : Springer
ISBN 13 : 3642244467
Total Pages : 170 pages
Book Rating : 4.6/5 (422 download)
Download or read book Multimodal Brain Image Analysis written by Tianming Liu and published by Springer. This book was released on 2011-09-25 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Author : Bjoern Menze
Publisher : Frontiers Media SA
ISBN 13 : 2889711706
Total Pages : 324 pages
Book Rating : 4.8/5 (897 download)
Download or read book Multimodal Brain Tumor Segmentation and Beyond written by Bjoern Menze and published by Frontiers Media SA. This book was released on 2021-08-10 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hyder Fahmeed
Publisher : Humana Press
ISBN 13 : 9781627038812
Total Pages : 0 pages
Book Rating : 4.0/5 (388 download)
Download or read book Dynamic Brain Imaging written by Hyder Fahmeed and published by Humana Press. This book was released on 2014-11-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: If a picture is worth a thousand words, then dynamic images of brain activity certainly warrant many, many more. This book will help users learn to decipher the dynamic imaging data that will be critical to our future understanding of complex brain functions. In recent years, there have been unprecedented methodological advancements in the imaging of brain activity. These techniques allow the measurement of everything from neural activity (e.g., membrane potential, ion ?ux, neurotransmitter ?ux) to energy metabolism (e.g., glucose consumption, oxygen consumption, creatine kinase ?ux) and functional hyperemia (e.g., blood ?ow, volume, oxygenation). This book deals with a variety of magnetic resonance, electrophysiology, and optical methods that are often used to measure some of these dynamic processes. All chapters were written by leading experts, spanning three continents, specializing in state-of-the-art methods. Brie?y, the book has ?ve sections. In the introductory section, there are two chapters; the ?rst one contains a brief pre- ble to dynamic brain imaging and the other presents a novel, analytical approach to processing of dynamically acquired data. The second section has four chapters and delves into a wide range of optical imaging methods. I am privileged to include a chapter from Lawrence B. Cohen, considered by many to be the authority on optical imaging and spectroscopy, both in vitro and in vivo [Cohen LB (1973) Physiol Rev.
Author : Dewen Hu
Publisher : Springer Nature
ISBN 13 : 9813295236
Total Pages : 258 pages
Book Rating : 4.8/5 (132 download)
Download or read book Pattern Analysis of the Human Connectome written by Dewen Hu and published by Springer Nature. This book was released on 2019-11-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1351380737
Total Pages : 330 pages
Book Rating : 4.3/5 (513 download)
Download or read book Big Data in Multimodal Medical Imaging written by Ayman El-Baz and published by CRC Press. This book was released on 2019-11-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.
Author : Yuhui Zheng
Publisher : Frontiers Media SA
ISBN 13 : 2889713490
Total Pages : 108 pages
Book Rating : 4.8/5 (897 download)
Download or read book Intelligent Diagnosis with Adversarial Machine Learning in Multimodal Biomedical Brain Images written by Yuhui Zheng and published by Frontiers Media SA. This book was released on 2021-09-23 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Selma Supek
Publisher : Springer
ISBN 13 : 3642330452
Total Pages : 999 pages
Book Rating : 4.6/5 (423 download)
Download or read book Magnetoencephalography written by Selma Supek and published by Springer. This book was released on 2014-08-07 with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.
Author : Hans-Peter Müller
Publisher : Springer Nature
ISBN 13 : 3031016238
Total Pages : 75 pages
Book Rating : 4.0/5 (31 download)
Download or read book Multimodal Imaging in Neurology written by Hans-Peter Müller and published by Springer Nature. This book was released on 2022-06-01 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodal multimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). The multimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles or tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated. Table of Contents: Introduction / Neurological Measurement Techniques and First Steps of Postprocessing / Coordinate Transformation / Examples for Multimodal Imaging / Clinical Aspects of Multimodal Imaging / References / Biography
