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{ "item_title" : "Multimodal Brain Image Analysis", "item_author" : [" Pew-Thian Yap", "Tianming Liu", "Dinggang Shen "], "item_description" : "Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.- Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset.- Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults.- Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment.-Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI.- Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry.- Do We Really Need Robust and Alternative Inference Methods for Brain MRI.- Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation.- How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size.- A Generative Model for Probabilistic Label Fusion of Multimodal Data.- Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction.- Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.- Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS.- Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration.- Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.- Groupwise Segmentation Improves Neuroimaging Classification Accuracy.- DWI Denoising Using Spatial, Angular, and Radiometric Filtering.- MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm.- Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling. ", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/64/233/529/3642335292_b.jpg", "price_data" : { "retail_price" : "72.00", "online_price" : "72.00", "our_price" : "72.00", "club_price" : "72.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multimodal Brain Image Analysis|Pew-Thian Yap

Multimodal Brain Image Analysis : Second International Workshop, Mbia 2012, Held in Conjunction with Miccai 2012, Nice, France, October 1-5, 2012, Proc

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Overview

Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.- Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset.- Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults.- Connectivity Network Breakdown Predicts Imminent Volumetric Atrophy in Early Mild Cognitive Impairment.-Deconfounding the Effects of Resting State Activity on Task Activation Detection in fMRI.- Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry.- Do We Really Need Robust and Alternative Inference Methods for Brain MRI.- Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation.- How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size.- A Generative Model for Probabilistic Label Fusion of Multimodal Data.- Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction.- Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases.- Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter Lesions in MS.- Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration.- Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.- Groupwise Segmentation Improves Neuroimaging Classification Accuracy.- DWI Denoising Using Spatial, Angular, and Radiometric Filtering.- MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm.- Robust Cerebral Blood Flow Map Estimation in Arterial Spin Labeling.

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Details

  • ISBN-13: 9783642335297
  • ISBN-10: 3642335292
  • Publisher: Springer
  • Publish Date: August 2012
  • Dimensions: 9.21 x 6.14 x 0.51 inches
  • Shipping Weight: 0.75 pounds
  • Page Count: 226

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