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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

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Cover of 'Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012'

Table of Contents

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    Book Overview
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    Chapter 1 Accelerated Diffusion Spectrum Imaging with Compressed Sensing Using Adaptive Dictionaries
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    Chapter 2 Parametric Dictionary Learning for Modeling EAP and ODF in Diffusion MRI
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    Chapter 3 Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling
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    Chapter 4 Geodesic shape-based averaging.
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    Chapter 5 Multi-scale Characterization of White Matter Tract Geometry
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    Chapter 6 Optimization of Acquisition Geometry for Intra-operative Tomographic Imaging
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    Chapter 7 Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry
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    Chapter 8 A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D Echocardiography
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    Chapter 9 Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests
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    Chapter 10 Neighbourhood approximation forests.
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    Chapter 11 Recognition in Ultrasound Videos: Where Am I?
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    Chapter 12 Self-similarity Weighted Mutual Information: A New Nonrigid Image Registration Metric
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    Chapter 13 Inter-Point Procrustes: Identifying Regional and Large Differences in 3D Anatomical Shapes
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    Chapter 14 Selection of Optimal Hyper-Parameters for Estimation of Uncertainty in MRI-TRUS Registration of the Prostate
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    Chapter 15 Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling
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    Chapter 16 Unbiased Groupwise Registration of White Matter Tractography
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    Chapter 17 Regional Manifold Learning for Deformable Registration of Brain MR Images
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    Chapter 18 Estimation and Reduction of Target Registration Error
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    Chapter 19 A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees
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    Chapter 20 Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models
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    Chapter 21 An Efficient and Robust Algorithm for Parallel Groupwise Registration of Bone Surfaces
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    Chapter 22 Realistic Head Model Design and 3D Brain Imaging of NIRS Signals Using Audio Stimuli on Preterm Neonates for Intra-Ventricular Hemorrhage Diagnosis
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    Chapter 23 Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
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    Chapter 24 Group Analysis of Resting-State fMRI by Hierarchical Markov Random Fields
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    Chapter 25 Metamorphic Geodesic Regression
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    Chapter 26 Eigenanatomy Improves Detection Power for Longitudinal Cortical Change
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    Chapter 27 Optimization of fMRI-derived ROIs based on coherent functional interaction patterns.
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    Chapter 28 Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters
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    Chapter 29 Dominant Component Analysis of Electrophysiological Connectivity Networks
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    Chapter 30 Tree-Guided Sparse Coding for Brain Disease Classification
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    Chapter 31 Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database
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    Chapter 32 Radial structure in the preterm cortex; persistence of the preterm phenotype at term equivalent age?
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    Chapter 33 Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis
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    Chapter 34 Feature Analysis for Parkinson’s Disease Detection Based on Transcranial Sonography Image
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    Chapter 35 Longitudinal Image Registration with Non-uniform Appearance Change
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    Chapter 36 Cortical folding analysis on patients with Alzheimer's disease and mild cognitive impairment.
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    Chapter 37 Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering
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    Chapter 38 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
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    Chapter 39 Registration and Analysis of White Matter Group Differences with a Multi-fiber Model
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    Chapter 40 Scalable Tracing of Electron Micrographs by Fusing Top Down and Bottom Up Cues Using Hypergraph Diffusion
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    Chapter 41 A Diffusion Model for Detecting and Classifying Vesicle Fusion and Undocking Events
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    Chapter 42 Efficient Scanning for EM Based Target Localization
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    Chapter 43 Automated Tuberculosis Diagnosis Using Fluorescence Images from a Mobile Microscope
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    Chapter 44 Accurate Fully Automatic Femur Segmentation in Pelvic Radiographs Using Regression Voting
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    Chapter 45 Automatic Location of Vertebrae on DXA Images Using Random Forest Regression
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    Chapter 46 Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
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    Chapter 47 Efficient global optimization based 3D carotid AB-LIB MRI segmentation by simultaneously evolving coupled surfaces.
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    Chapter 48 Sparse Patch Based Prostate Segmentation in CT Images
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    Chapter 49 Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization
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    Chapter 50 Integration of Local and Global Features for Anatomical Object Detection in Ultrasound
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    Chapter 51 Spectral Label Fusion
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    Chapter 52 Multi-Organ Segmentation with Missing Organs in Abdominal CT Images
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    Chapter 53 Non-local STAPLE: An Intensity-Driven Multi-atlas Rater Model
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    Chapter 54 Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning
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    Chapter 55 Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease
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    Chapter 56 Prostate Segmentation by Sparse Representation Based Classification
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    Chapter 57 Co-segmentation of Functional and Anatomical Images
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    Chapter 58 Using Multiparametric Data with Missing Features for Learning Patterns of Pathology
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    Chapter 59 Non-local Robust Detection of DTI White Matter Differences with Small Databases
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    Chapter 60 Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles
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    Chapter 61 Learning a Reliable Estimate of the Number of Fiber Directions in Diffusion MRI
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    Chapter 62 Finding Similar 2D X-Ray Coronary Angiograms
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    Chapter 63 Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping
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    Chapter 64 Multiscale Lung Texture Signature Learning Using the Riesz Transform
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    Chapter 65 Blood Flow Simulation for the Liver after a Virtual Right Lobe Hepatectomy
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    Chapter 66 A Combinatorial Method for 3D Landmark-Based Morphometry: Application to the Study of Coronal Craniosynostosis
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    Chapter 67 A Comprehensive Framework for the Detection of Individual Brain Perfusion Abnormalities Using Arterial Spin Labeling
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    Chapter 68 Automated Colorectal Cancer Diagnosis for Whole-Slice Histopathology
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    Chapter 69 Patient-Adaptive Lesion Metabolism Analysis by Dynamic PET Images
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    Chapter 70 A Personalized Biomechanical Model for Respiratory Motion Prediction
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    Chapter 71 Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease.
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    Chapter 72 Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images
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    Chapter 73 Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans.
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    Chapter 74 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
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    Chapter 75 An invariant shape representation using the anisotropic Helmholtz equation.
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    Chapter 76 Phase Contrast Image Restoration via Dictionary Representation of Diffraction Patterns
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    Chapter 77 Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation
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    Chapter 78 Structural-Flow Trajectories for Unravelling 3D Tubular Bundles
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    Chapter 79 Online blind calibration of non-uniform photodetectors: application to endomicroscopy.
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
Published by
Springer Berlin Heidelberg, September 2012
DOI 10.1007/978-3-642-33454-2
ISBNs
978-3-64-233453-5, 978-3-64-233454-2
Editors

Ayache, Nicholas, Delingette, Hervé, Golland, Polina, Mori, Kensaku

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 6%
Japan 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 38%
Student > Ph. D. Student 7 21%
Student > Master 3 9%
Student > Bachelor 2 6%
Student > Postgraduate 1 3%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Computer Science 14 41%
Engineering 8 24%
Medicine and Dentistry 5 15%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 5 15%