Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

Table of Contents

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   Book Overview
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   Chapter 1 Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization
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   Chapter 2 Hierarchical Bayesian Modeling, Estimation, and Sampling for Multigroup Shape Analysis
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   Chapter 3 Depth-Based Shape-Analysis
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   Chapter 4 Genus-One Surface Registration via Teichmüller Extremal Mapping
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   Chapter 5 Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI
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   Chapter 6 BrainPrint : Identifying Subjects by Their Brain
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   Chapter 7 Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics
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   Chapter 8 Simulating neurodegeneration through longitudinal population analysis of structural and diffusion weighted MRI data.
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    Chapter 9 The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation
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    Chapter 10 Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI
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    Chapter 11 Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex
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    Chapter 12 Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex
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    Chapter 13 Low-Rank to the Rescue – Atlas-Based Analyses in the Presence of Pathologies
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    Chapter 14 Optimized PatchMatch for Near Real Time and Accurate Label Fusion
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    Chapter 15 Functionally Driven Brain Networks Using Multi-layer Graph Clustering
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    Chapter 16 Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration
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    Chapter 17 New Partial Volume Estimation Methods for MRI MP2RAGE
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    Chapter 18 Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex
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    Chapter 19 T 2-Relaxometry for Myelin Water Fraction Extraction Using Wald Distribution and Extended Phase Graph
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    Chapter 20 Compact and Informative Representation of Functional Connectivity for Predictive Modeling
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    Chapter 21 Registering Cortical Surfaces Based on Whole-Brain Structural Connectivity and Continuous Connectivity Analysis
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    Chapter 22 Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification
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    Chapter 23 Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics
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    Chapter 24 Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation
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    Chapter 25 Discriminative Sparse Connectivity Patterns for Classification of fMRI Data
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    Chapter 26 MesoFT: Unifying Diffusion Modelling and Fiber Tracking
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    Chapter 27 Measurement Tensors in Diffusion MRI: Generalizing the Concept of Diffusion Encoding
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    Chapter 28 From Expected Propagator Distribution to Optimal Q-space Sample Metric
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    Chapter 29 Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI
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    Chapter 30 Complete Set of Invariants of a 4 th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics
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    Chapter 31 In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI
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    Chapter 32 Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric
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    Chapter 33 Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging
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    Chapter 34 Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers
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    Chapter 35 Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data
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    Chapter 36 Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code
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    Chapter 37 A Prototype Representation to Approximate White Matter Bundles with Weighted Currents
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    Chapter 38 Hole Detection in Metabolic Connectivity of Alzheimer’s Disease Using k −Laplacian
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    Chapter 39 Deep learning based imaging data completion for improved brain disease diagnosis.
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    Chapter 40 Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model
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    Chapter 41 Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data
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    Chapter 42 A novel structure-aware sparse learning algorithm for brain imaging genetics.
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    Chapter 43 Multi-organ Localization Combining Global-to-Local Regression and Confidence Maps
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    Chapter 44 Inter-Cluster Features for Medical Image Classification
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    Chapter 45 A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models
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    Chapter 46 3D Spine Reconstruction of Postoperative Patients from Multi-level Manifold Ensembles
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    Chapter 47 Scalable Histopathological Image Analysis via Active Learning
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    Chapter 48 Unsupervised Unstained Cell Detection by SIFT Keypoint Clustering and Self-labeling Algorithm
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    Chapter 49 Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis
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    Chapter 50 Clustering-Induced Multi-task Learning for AD/MCI Classification
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    Chapter 51 A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis
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    Chapter 52 Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query
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    Chapter 53 Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes