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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011

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Cover of 'Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011'

Table of Contents

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    Book Overview
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    Chapter 1 Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways
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    Chapter 2 Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor
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    Chapter 3 Fiber Modeling and Clustering Based on Neuroanatomical Features
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    Chapter 4 Probabilistic Clustering and Shape Modelling of White Matter Fibre Bundles Using Regression Mixtures
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    Chapter 5 Integrated Parcellation and Normalization Using DTI Fasciculography
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    Chapter 6 Predicting Functional Brain ROIs via Fiber Shape Models
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    Chapter 7 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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    Chapter 8 Sparse Multi-Shell Diffusion Imaging
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    Chapter 9 Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates
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    Chapter 10 Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap
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    Chapter 11 Axon Diameter Mapping in Crossing Fibers with Diffusion MRI
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    Chapter 12 Detecting Structure in Diffusion Tensor MR Images
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    Chapter 13 Diffeomorphism Invariant Riemannian Framework for Ensemble Average Propagator Computing
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    Chapter 14 Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX
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    Chapter 15 Impact of Radial and Angular Sampling on Multiple Shells Acquisition in Diffusion MRI
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    Chapter 16 Super-Resolution in Diffusion-Weighted Imaging
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    Chapter 17 Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations
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    Chapter 18 Segmenting Thalamic Nuclei: What Can We Gain from HARDI?
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    Chapter 19 Resting State fMRI-Guided Fiber Clustering
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    Chapter 20 Apparent Intravoxel Fibre Population Dispersion (FPD) Using Spherical Harmonics
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    Chapter 21 Feasibility and Advantages of Diffusion Weighted Imaging Atlas Construction in Q-Space
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    Chapter 22 Susceptibility distortion correction for echo planar images with non-uniform B-spline grid sampling: a diffusion tensor image study.
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    Chapter 23 Probabilistic ODF Estimation from Reduced HARDI Data with Sparse Regularization
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    Chapter 24 Sheet-Like White Matter Fiber Tracts: Representation, Clustering, and Quantitative Analysis
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    Chapter 25 Diffusion Tensor Image Registration with Combined Tract and Tensor Features
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    Chapter 26 Probabilistic Tractography Using Q-Ball Modeling and Particle Filtering
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    Chapter 27 Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI
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    Chapter 28 Parallel MRI Noise Correction: An Extension of the LMMSE to Non Central χ Distributions
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    Chapter 29 HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies
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    Chapter 30 Detrend-Free Hemodynamic Data Assimilation of Two-Stage Kalman Estimator
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    Chapter 31 Fiber-Centered Granger Causality Analysis
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    Chapter 32 Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI
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    Chapter 33 Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI
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    Chapter 34 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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    Chapter 35 Connectivity-Informed fMRI Activation Detection
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    Chapter 36 A Stochastic Linear Model for fMRI Activation Analyses
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    Chapter 37 Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric
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    Chapter 38 Model-Driven Harmonic Parameterization of the Cortical Surface
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    Chapter 39 Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs
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    Chapter 40 Conformal Metric Optimization on Surface (CMOS) for Deformation and Mapping in Laplace-Beltrami Embedding Space
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    Chapter 41 Area-Preserving Surface Flattening Using Lie Advection
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    Chapter 42 Non-parametric population analysis of cellular phenotypes.
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    Chapter 43 Vertex-Wise Shape Analysis of the Hippocampus: Disentangling Positional Differences from Volume Changes
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    Chapter 44 Localized Component Analysis for Arthritis Detection in the Trapeziometacarpal Joint
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    Chapter 45 Geometric Correspondence for Ensembles of Nonregular Shapes
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    Chapter 46 Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models
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    Chapter 47 Euclidean Geodesic Loops on High-Genus Surfaces Applied to the Morphometry of Vestibular Systems
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    Chapter 48 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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    Chapter 49 Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data
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    Chapter 50 Minimization of Intra-Operative Shaping of Orthopaedic Fixation Plates: A Population-Based Design
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    Chapter 51 Iterative Refinement of Point Correspondences for 3D Statistical Shape Models
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    Chapter 52 A New Shape Diffusion Descriptor for Brain Classification
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    Chapter 53 Comparison of Shape Regression Methods under Landmark Position Uncertainty
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    Chapter 54 SpringLS: A Deformable Model Representation to Provide Interoperability between Meshes and Level Sets
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    Chapter 55 Deformable Segmentation via Sparse Shape Representation
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    Chapter 56 Pattern Based Morphometry
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    Chapter 57 Longitudinal Cortical Thickness Estimation Using Khalimsky’s Cubic Complex
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    Chapter 58 Spatiotemporal Morphometry of Adjacent Tissue Layers with Application to the Study of Sulcal Formation
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    Chapter 59 Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching
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    Chapter 60 3D Active Shape Model Segmentation with Nonlinear Shape Priors
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    Chapter 61 Automatic Construction of Statistical Shape Models for Vertebrae
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    Chapter 62 Graph Based Spatial Position Mapping of Low-Grade Gliomas
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    Chapter 63 Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice
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    Chapter 64 Evaluating Volumetric Brain Registration Performance Using Structural Connectivity Information
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    Chapter 65 Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model
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    Chapter 66 Non-local shape descriptor: a new similarity metric for deformable multi-modal registration.
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    Chapter 67 Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration
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    Chapter 68 Random Walks for Deformable Image Registration
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    Chapter 69 Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images
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    Chapter 70 Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model
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    Chapter 71 Reconstruction of 3-D Histology Images by Simultaneous Deformable Registration
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    Chapter 72 Spatially Adaptive Log-Euclidean Polyaffine Registration Based on Sparse Matches
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    Chapter 73 Personalized X-Ray Reconstruction of the Proximal Femur via Intensity-Based Non-rigid 2D-3D Registration
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    Chapter 74 2D Image Registration in CT Images Using Radial Image Descriptors
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    Chapter 75 Point-to-Volume Registration of Prostate Implants to Ultrasound
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    Chapter 76 3D Organ Motion Prediction for MR-Guided High Intensity Focused Ultrasound
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    Chapter 77 Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons
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    Chapter 78 Geometric Metamorphosis
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    Chapter 79 Longitudinal Brain MRI Analysis with Uncertain Registration
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    Chapter 80 Geodesic Regression for Image Time-Series
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    Chapter 81 Mapping the Effects of Aβ 1 − 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields
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    Chapter 82 Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images
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    Chapter 83 Inferring 3D Kinematics of Carpal Bones from Single View Fluoroscopic Sequences
Overall attention for this book and its chapters
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3 Wikipedia pages

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30 Mendeley
Summary Wikipedia
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Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-23629-7
ISBNs
978-3-64-223628-0, 978-3-64-223629-7
Authors

Fichtinger, Gabor, Martel, Anne, Peters, Terry

Editors

Gabor Fichtinger, Anne Martel, Terry Peters

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 7%
Unknown 28 93%
Readers by discipline Count As %
Physics and Astronomy 1 3%
Medicine and Dentistry 1 3%
Unknown 28 93%

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