Multimodal Brain Image Analysis

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Multimodal Brain Image Analysis

Author : Anonim
Publisher : Unknown
Page : 174 pages
File Size : 52,6 Mb
Release : 2011-09-26
Category : Electronic
ISBN : 3642244475

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Multimodal Brain Image Analysis by Anonim Pdf

Multimodal Brain Image Analysis

Author : Pew-Thian Yap,Tianming Liu,Dinggang Shen,Carl-Fredrik Westin,Li Shen
Publisher : Springer
Page : 235 pages
File Size : 44,6 Mb
Release : 2012-09-18
Category : Computers
ISBN : 9783642335303

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Multimodal Brain Image Analysis by Pew-Thian Yap,Tianming Liu,Dinggang Shen,Carl-Fredrik Westin,Li Shen Pdf

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.

Multimodal Brain Image Analysis

Author : Tianming Liu,Dinggang Shen,LUIS IBANEZ,Xiaodong Tao
Publisher : Springer
Page : 170 pages
File Size : 47,5 Mb
Release : 2011-09-25
Category : Computers
ISBN : 9783642244469

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Multimodal Brain Image Analysis by Tianming Liu,Dinggang Shen,LUIS IBANEZ,Xiaodong Tao Pdf

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.

Multimodal Brain Image Analysis

Author : Li Shen,Tianming Liu,Pew-Thian Yap,Heng Huang,Dinggang Shen,Carl-Fredrik Westin
Publisher : Springer
Page : 268 pages
File Size : 54,5 Mb
Release : 2013-08-15
Category : Computers
ISBN : 9783319021263

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Multimodal Brain Image Analysis by Li Shen,Tianming Liu,Pew-Thian Yap,Heng Huang,Dinggang Shen,Carl-Fredrik Westin Pdf

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.

Multimodal Brain Image Analysis

Author : Li Shen,Tianming Liu,Pew-Thian Yap
Publisher : Unknown
Page : 274 pages
File Size : 55,5 Mb
Release : 2013-08-30
Category : Electronic
ISBN : 3319021273

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Multimodal Brain Image Analysis by Li Shen,Tianming Liu,Pew-Thian Yap Pdf

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Author : Dajiang Zhu,Jingwen Yan,Heng Huang,Li Shen,Paul M. Thompson,Carl-Fredrik Westin,Xavier Pennec,Sarang Joshi,Mads Nielsen,Tom Fletcher,Stanley Durrleman,Stefan Sommer
Publisher : Springer Nature
Page : 230 pages
File Size : 41,8 Mb
Release : 2019-10-10
Category : Computers
ISBN : 9783030332266

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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy by Dajiang Zhu,Jingwen Yan,Heng Huang,Li Shen,Paul M. Thompson,Carl-Fredrik Westin,Xavier Pennec,Sarang Joshi,Mads Nielsen,Tom Fletcher,Stanley Durrleman,Stefan Sommer Pdf

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.

Multimodal Brain Image Fusion: Methods, Evaluations, and Applications

Author : Yu Liu,Jiayi Ma,Qiang Zhang,Wei Wei,Xun Chen,Zheng Liu
Publisher : Frontiers Media SA
Page : 163 pages
File Size : 45,9 Mb
Release : 2023-02-06
Category : Science
ISBN : 9782832513880

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Multimodal Brain Image Fusion: Methods, Evaluations, and Applications by Yu Liu,Jiayi Ma,Qiang Zhang,Wei Wei,Xun Chen,Zheng Liu Pdf

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Author : Danail Stoyanov,Zeike Taylor,Gustavo Carneiro,Tanveer Syeda-Mahmood,Anne Martel,Lena Maier-Hein,João Manuel R.S. Tavares,Andrew Bradley,João Paulo Papa,Vasileios Belagiannis,Jacinto C. Nascimento,Zhi Lu,Sailesh Conjeti,Mehdi Moradi,Hayit Greenspan,Anant Madabhushi
Publisher : Springer
Page : 401 pages
File Size : 51,7 Mb
Release : 2018-09-19
Category : Computers
ISBN : 9783030008895

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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by Danail Stoyanov,Zeike Taylor,Gustavo Carneiro,Tanveer Syeda-Mahmood,Anne Martel,Lena Maier-Hein,João Manuel R.S. Tavares,Andrew Bradley,João Paulo Papa,Vasileios Belagiannis,Jacinto C. Nascimento,Zhi Lu,Sailesh Conjeti,Mehdi Moradi,Hayit Greenspan,Anant Madabhushi Pdf

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.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Author : M. Jorge Cardoso,Tal Arbel,Gustavo Carneiro,Tanveer Syeda-Mahmood,João Manuel R.S. Tavares,Mehdi Moradi,Andrew Bradley,Hayit Greenspan,João Paulo Papa,Anant Madabhushi,Jacinto C. Nascimento,Jaime S. Cardoso,Vasileios Belagiannis,Zhi Lu
Publisher : Springer
Page : 385 pages
File Size : 41,9 Mb
Release : 2017-09-07
Category : Computers
ISBN : 9783319675589

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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by M. Jorge Cardoso,Tal Arbel,Gustavo Carneiro,Tanveer Syeda-Mahmood,João Manuel R.S. Tavares,Mehdi Moradi,Andrew Bradley,Hayit Greenspan,João Paulo Papa,Anant Madabhushi,Jacinto C. Nascimento,Jaime S. Cardoso,Vasileios Belagiannis,Zhi Lu Pdf

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.

Multimodal Brain Tumor Segmentation and Beyond

Author : Bjoern Menze,Spyridon Bakas
Publisher : Frontiers Media SA
Page : 324 pages
File Size : 47,8 Mb
Release : 2021-08-10
Category : Science
ISBN : 9782889711703

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Multimodal Brain Tumor Segmentation and Beyond by Bjoern Menze,Spyridon Bakas Pdf

Big Data in Multimodal Medical Imaging

Author : Ayman El-Baz,Jasjit S. Suri
Publisher : CRC Press
Page : 330 pages
File Size : 52,7 Mb
Release : 2019-11-05
Category : Computers
ISBN : 9781351380737

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Big Data in Multimodal Medical Imaging by Ayman El-Baz,Jasjit S. Suri Pdf

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.

Dynamic Brain Imaging

Author : Hyder Fahmeed
Publisher : Humana Press
Page : 379 pages
File Size : 44,7 Mb
Release : 2008-11-01
Category : Medical
ISBN : 1603279849

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Dynamic Brain Imaging by Hyder Fahmeed Pdf

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.

Dynamic Brain Imaging

Author : Hyder Fahmeed
Publisher : Humana Press
Page : 0 pages
File Size : 55,8 Mb
Release : 2014-11-03
Category : Medical
ISBN : 1627038817

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Dynamic Brain Imaging by Hyder Fahmeed Pdf

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.

Multimodal Imaging in Neurology

Author : Hans-Peter Müller,Jan Kassubek
Publisher : Springer Nature
Page : 75 pages
File Size : 44,7 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031016233

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Multimodal Imaging in Neurology by Hans-Peter Müller,Jan Kassubek Pdf

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