Description |
1 online resource : illustrations |
Series |
Lecture notes in computer science, 0302-9743 ; 7509 |
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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 ; 7509.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning / Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon and Taiyong Li, et al. -- Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset / Martin Dyrba, Michael Ewers, Martin Wegrzyn, Ingo Kilimann and Claudia Plant, et al. -- Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults / Neda Jahanshad, Gautam Prasad, Arthur W. Toga, Katie L. McMahon and Greig I. de Zubicaray, et al. -- Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment / Talia M. Nir, Neda Jahanshad, Arthur W. Toga, Clifford R. Jack and Michael W. Weiner, et al. -- Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI / Burak Yoldemir, Bernard Ng and Rafeef Abugharbieh -- Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry / Jie Shi, Paul M. Thompson and Yalin Wang |
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Do We Really Need Robust and Alternative Inference Methods for Brain MRI? / Bennett A. Landman, Xue Yang and Hakmook Kang -- Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation / Daoqiang Zhang, Qimiao Guo, Guorong Wu and Dinggang Shen -- How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size / Suyash P. Awate, Peihong Zhu and Ross T. Whitaker -- A Generative Model for Probabilistic Label Fusion of Multimodal Data / Juan Eugenio Iglesias, Mert Rory Sabuncu and Koen Van Leemput -- Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction / Wei Liu, Xiaozheng Liu, Xiaofu He, Zhenyu Zhou and Ying Wen, et al. -- Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases / Yan Jin, Yonggang Shi, Liang Zhan, Junning Li and Greig I. de Zubicaray, et al |
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Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS / Maddalena Strumia, Constantin Anastasopoulos, Irina Mader, Jürgen Henning and Li Bai, et al. -- Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration / Tuo Zhang, Lei Guo, Hanbo Chen, Xintao Hu and Kaiming Li, et al. -- Structural Feature Selection for Connectivity Network-Based MCI Diagnosis / Biao Jie, Daoqiang Zhang, Chong-Yaw Wee and Dinggang Shen -- Groupwise Segmentation Improves Neuroimaging Classification Accuracy / Yaping Wang, Hongjun Jia, Pew-Thian Yap, Bo Cheng and Chong-Yaw Wee, et al. -- DWI Denoising Using Spatial, Angular, and Radiometric Filtering / Pew-Thian Yap and Dinggang Shen -- MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm / Fang Cao, Olivier Commowick, Elise Bannier, Jean-Christophe Ferré and Gilles Edan, et al. -- Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling / Camille Maumet, Pierre Maurel, Jean-Christophe Ferré and Christian Barillot |
Summary |
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 |
Analysis |
Computer science |
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Radiology, Medical |
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Computer software |
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Artificial intelligence |
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Computer graphics |
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Optical pattern recognition |
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Pattern Recognition |
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Image Processing and Computer Vision |
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Imaging / Radiology |
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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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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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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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Information and Communication Technology (General) |
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Informatie- en communicatietechnologie (algemeen) |
Bibliography |
Includes bibliographical references and author index |
Notes |
English |
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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Informatique.
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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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Software.
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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 |
Yap, Pew-Thian
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ISBN |
9783642335303 |
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3642335306 |
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3642335292 |
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9783642335297 |
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