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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Springer, Berlin, Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns
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    Chapter 2 Non-invasive Image-Based Approach for Early Detection of Acute Renal Rejection
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    Chapter 3 Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model
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    Chapter 4 Automatic Detection and Segmentation of Axillary Lymph Nodes
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    Chapter 5 Image Dissimilarity-Based Quantification of Lung Disease from CT
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    Chapter 6 Vessel segmentation for ablation treatment planning and simulation.
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    Chapter 7 Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy
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    Chapter 8 Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model
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    Chapter 9 Dynamic Shape Instantiation for Intra-operative Guidance
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    Chapter 10 Dynamic Guidance for Robotic Surgery Using Image-Constrained Biomechanical Models
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    Chapter 11 Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models
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    Chapter 12 Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
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    Chapter 13 Automatic Segmentation and Components Classification of Optic Pathway Gliomas in MRI
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    Chapter 14 Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images
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    Chapter 15 Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image
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    Chapter 16 Measurement Selection in Untracked Freehand 3D Ultrasound
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    Chapter 17 Efficient MR Image Reconstruction for Compressed MR Imaging
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    Chapter 18 4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization
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    Chapter 19 ECG-Gated Interventional Cardiac Reconstruction for Non-periodic Motion
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    Chapter 20 Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery
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    Chapter 21 Adaptive Noise Filtering for Accurate and Precise Diffusion Estimation in Fiber Crossings
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    Chapter 22 A Sobolev Norm Based Distance Measure for HARDI Clustering
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    Chapter 23 MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation
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    Chapter 24 Joint Generative Model for fMRI/DWI and Its Application to Population Studies
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    Chapter 25 Detection of Brain Functional-Connectivity Difference in Post-stroke Patients Using Group-Level Covariance Modeling
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    Chapter 26 Understanding the Optics to Aid Microscopy Image Segmentation
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    Chapter 27 Complete Valvular Heart Apparatus Model from 4D Cardiac CT
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    Chapter 28 Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
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    Chapter 29 Multiplicative Jacobian Energy Decomposition Method for Fast Porous Visco-Hyperelastic Soft Tissue Model
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    Chapter 30 Fast Ultrasound Image Simulation Using the Westervelt Equation
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    Chapter 31 Accounting for Anisotropic Noise in Fine Registration of Time-of-Flight Range Data with High-Resolution Surface Data
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    Chapter 32 Self-encoded Marker for Optical Prospective Head Motion Correction in MRI
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    Chapter 33 Robust 3D Visual Tracking for Robotic-Assisted Cardiac Interventions
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    Chapter 34 Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery
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    Chapter 35 Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation
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    Chapter 36 Reconstructing Geometrically Consistent Tree Structures from Noisy Images
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    Chapter 37 Dual-model automatic detection of nerve-fibres in corneal confocal microscopy images.
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    Chapter 38 Characterizing the Regional Structural Difference of the Brain between Tau Transgenic (rTg4510) and Wild-Type Mice Using MRI
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    Chapter 39 Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome
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    Chapter 40 Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging
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    Chapter 41 Intra-Patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum
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    Chapter 42 A parameterization of deformation fields for diffeomorphic image registration and its application to myocardial delineation.
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    Chapter 43 Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity
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    Chapter 44 Cortical Sulcal Atlas Construction Using a Diffeomorphic Mapping Approach
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    Chapter 45 Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images
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    Chapter 46 System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging
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    Chapter 47 Cardiac Anchoring in MRI through Context Modeling
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    Chapter 48 Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking
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    Chapter 49 Accurate Segmentation of the Left Ventricle in Computed Tomography Images for Local Wall Thickness Assessment
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    Chapter 50 Regional heart motion abnormality detection via information measures and unscented Kalman filtering.
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    Chapter 51 In vivo Human 3D Cardiac Fibre Architecture: Reconstruction Using Curvilinear Interpolation of Diffusion Tensor Images
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    Chapter 52 Physics-Based Modeling of Aortic Wall Motion from ECG-Gated 4D Computed Tomography
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    Chapter 53 Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy
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    Chapter 54 Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch
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    Chapter 55 Conditional Shape Models for Cardiac Motion Estimation
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    Chapter 56 Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging
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    Chapter 57 Automatic Cardiac MRI Segmentation Using a Biventricular Deformable Medial Model
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    Chapter 58 Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation
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    Chapter 59 Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines
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    Chapter 60 Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
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    Chapter 61 3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor
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    Chapter 62 Automated Interventricular Septum Thickness Measurement from B-Mode Echocardiograms
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    Chapter 63 Probabilistic-Driven Oriented Speckle Reducing Anisotropic Diffusion with Application to Cardiac Ultrasonic Images
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    Chapter 64 Patient Specific Models for Planning and Guidance of Minimally Invasive Aortic Valve Implantation
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    Chapter 65 A framework for using diffusion weighted imaging to improve cortical parcellation.
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    Chapter 66 Tract-Based Probability Densities of Diffusivity Measures in DT-MRI
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    Chapter 67 Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy
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    Chapter 68 DTI Based Diagnostic Prediction of a Disease via Pattern Classification
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    Chapter 69 Probabilistic Anatomical Connectivity Using Completion Fields
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    Chapter 70 Reconstruction of Scattered Data in Fetal Diffusion MRI
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    Chapter 71 Symmetric Positive-Definite Cartesian Tensor Orientation Distribution Functions (CT-ODF)
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    Chapter 72 Model-Free and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion MRI
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    Chapter 73 Group-Wise Diffeomorphic Diffusion Tensor Image Registration
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    Chapter 74 Fast and Accurate Reconstruction of HARDI Data Using Compressed Sensing
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    Chapter 75 General and Efficient Super-Resolution Method for Multi-slice MRI
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    Chapter 76 In-Vivo Estimates of Axonal Characteristics Using Optimized Diffusion MRI Protocols for Single Fibre Orientation
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    Chapter 77 Diffusion-Based Population Statistics Using Tract Probability Maps
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    Chapter 78 Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI
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    Chapter 79 Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation
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    Chapter 80 Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
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    Chapter 81 A Novel White Matter Fibre Tracking Algorithm Using Probabilistic Tractography and Average Curves
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    Chapter 82 Multi-Diffusion-Tensor Fitting via Spherical Deconvolution: A Unifying Framework
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    Chapter 83 Statistical Analysis of Tensor Fields
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    Chapter 84 Multivariate Varying Coefficient Models for DTI Tract Statistics
Attention for Chapter 24: Joint Generative Model for fMRI/DWI and Its Application to Population Studies
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Chapter title
Joint Generative Model for fMRI/DWI and Its Application to Population Studies
Chapter number 24
Book title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Published by
Springer, Berlin, Heidelberg, September 2010
DOI 10.1007/978-3-642-15705-9_24
Pubmed ID
20879231
Book ISBNs
978-3-64-215704-2, 978-3-64-215705-9
Authors

Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 9%
United Kingdom 4 7%
Unknown 47 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Student > Ph. D. Student 14 25%
Professor > Associate Professor 5 9%
Professor 3 5%
Other 3 5%
Other 7 13%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 18 32%
Medicine and Dentistry 6 11%
Engineering 5 9%
Neuroscience 5 9%
Psychology 4 7%
Other 7 13%
Unknown 11 20%

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