Description |
1 online resource (xii, 260 pages) : illustrations |
Series |
Lecture Notes in Computer Science, 0302-9743 ; 8159 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 8159, 0302-9743
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
Locally Weighted Multi-atlas Construction / Junning Li [and others] -- Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks / Xiaojin Li [and others] -- Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke / Ramesh Sridharan, Adrian V. Dalca -- Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database / Bo Wang [and others] -- Bi-modal Non-rigid Registration of Brain MRI Data Based on Deconvolution of Joint Statistics / David Pilutti, Maddalena Strumia, Stathis Hadjidemetriou -- Atlas Based Intensity Transformation of Brain MR Images / Snehashis Roy [and others] -- Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation / Florian Dittmann, Björn Menze, Ender Konukoglu -- Superpixel-Based Segmentation of Glioblastoma Multiforme from Multimodal MR Images / Po Su [and others] |
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Mapping Dynamic Changes in Ventricular Volume onto Baseline Cortical Surfaces in Normal Aging, MCI, and Alzheimer's Disease / Sarah K. Madsen, Boris A. Gutman, Shantanu H. Joshi -- Unsupervised Fiber Bundles Registration Using Weighted Measures Geometric Demons / Viviana Siless, Sergio Medina, Pierre Fillard -- Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI / Jhimli Mitra, Pierrick Bourgeat, Jurgen Fripp -- Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping / Hugo J. Kuijf, J. Matthijs Biesbroek, Max A. Viergever -- A Dynamical Clustering Model of Brain Connectivity Inspired by the N-Body Problem / Gautam Prasad, Josh Burkart, Shatanu H. Joshi -- Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis / Marika Archambault-Wallenburg, Douglas Arnold -- PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease / Sungeun Kim, Kwangsik Nho, Shannon L. Risacher -- A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI) / Dokyoon Kim [and others] |
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Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model / Hakmook Kang, Xue Yang, Frederick W. Bryan -- Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection / Jinglei Lv [and others] -- Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model / Neda Jahanshad, Priya Bhatt, Derrek P. Hibar -- Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures / Jingwen Yan, Heng Huang, Shannon L. Risacher -- A Framework to Compare Tractography Algorithms Based on Their Performance in Predicting Functional Networks / Fani Deligianni, Chris A. Clark, Jonathan D. Clayden -- Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast / Christine Lucas Tardif, Juliane Dinse, Andreas Schäfer -- A Heat Kernel Based Cortical Thickness Estimation Algorithm / Gang Wang [and others] -- A Family of Fast Spherical Registration Algorithms for Cortical Shapes / Boris A. Gutman, Sarah K. Madsen, Arthur W. Toga |
Summary |
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 |
Analysis |
computerwetenschappen |
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computer sciences |
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beeldverwerking |
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image processing |
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machine vision |
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patroonherkenning |
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pattern recognition |
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algoritmen |
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algorithms |
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computeranalyse |
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computer analysis |
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kunstmatige intelligentie |
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artificial intelligence |
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afbeelden |
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imagery |
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radiologie |
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radiology |
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computergrafie |
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computer graphics |
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Information and Communication Technology (General) |
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Informatie- en communicatietechnologie (algemeen) |
Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed August 20, 2013) |
Subject |
Brain -- Imaging -- Data processing -- Congresses
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Image analysis -- Congresses
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Brain Diseases -- diagnosis
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Brain Mapping -- methods
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Image Processing, Computer-Assisted
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Image analysis
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Shen, Li, editor
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International Conference on Medical Image Computing and Computer-Assisted Intervention (16th : 2013 : Nagoya-shi, Japan)
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ISBN |
9783319021263 |
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3319021265 |
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