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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
Springer, Berlin, Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis
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    Chapter 2 Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images
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    Chapter 3 Regularized Tensor Factorization for Multi-Modality Medical Image Classification
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    Chapter 4 Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography
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    Chapter 5 Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data
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    Chapter 6 Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries
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    Chapter 7 A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images
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    Chapter 8 Classification of Alzheimer’s Disease Using a Self-Smoothing Operator
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    Chapter 9 An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification
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    Chapter 10 Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach
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    Chapter 11 Targeted Optical Biopsies for Surveillance Endoscopies
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    Chapter 12 Focal Biologically Inspired Feature for Glaucoma Type Classification
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    Chapter 13 The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction
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    Chapter 14 Assessment of regional myocardial function via statistical features in MR images.
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    Chapter 15 Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression
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    Chapter 16 Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions
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    Chapter 17 Identification of Paediatric Tuberculosis from Airway Shape Features
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    Chapter 18 Automatic Region-of-Interest Segmentation and Pathology Detection in Magnetically Guided Capsule Endoscopy
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    Chapter 19 Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer’s Disease
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    Chapter 20 Localization of the Lumbar Discs Using Machine Learning and Exact Probabilistic Inference
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    Chapter 21 Automatic Contrast Phase Estimation in CT Volumes
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    Chapter 23 Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach
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    Chapter 24 Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference
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    Chapter 25 X-ray Categorization and Spatial Localization of Chest Pathologies
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    Chapter 26 Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features
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    Chapter 27 Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems
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    Chapter 28 Referenceless Stratification of Parenchymal Lung Abnormalities
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    Chapter 29 Lung Texture Classification Using Locally–Oriented Riesz Components
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    Chapter 30 Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences
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    Chapter 31 ManiSMC: A New Method Using Manifold Modeling and Sequential Monte Carlo Sampler for Boosting Navigated Bronchoscopy
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    Chapter 32 Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning
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    Chapter 33 Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant
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    Chapter 34 Segmenting Images by Combining Selected Atlases on Manifold
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    Chapter 35 Learning Pit Pattern Concepts for Gastroenterological Training
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    Chapter 36 Immediate Structured Visual Search for Medical Images
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    Chapter 37 Retrieval Evaluation and Distance Learning from Perceived Similarity between Endomicroscopy Videos
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    Chapter 38 A New Approach for Tubular Structure Modeling and Segmentation Using Graph-Based Techniques
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    Chapter 39 Learning-Based Meta-Algorithm for MRI Brain Extraction
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    Chapter 40 Learning Likelihoods for Labeling (L3): A General Multi- Classifier Segmentation Algorithm
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    Chapter 41 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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    Chapter 42 Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization
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    Chapter 43 Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors
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    Chapter 44 Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization
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    Chapter 45 Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis
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    Chapter 46 Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography
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    Chapter 47 Adaptive Neonate Brain Segmentation
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    Chapter 48 Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction
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    Chapter 49 3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography
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    Chapter 50 Efficient detection of native and bypass coronary ostia in cardiac CT volumes: anatomical vs. pathological structures.
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    Chapter 51 A Holistic Approach for the Detection of Media-Adventitia Border in IVUS
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    Chapter 52 Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts
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    Chapter 53 Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images
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    Chapter 54 Minimum Average-Cost Path for Real Time 3D Coronary Artery Segmentation of CT Images
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    Chapter 55 Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi
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    Chapter 56 Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants
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    Chapter 57 Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain
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    Chapter 58 Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram
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    Chapter 59 Automatic View Planning for Cardiac MRI Acquisition
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    Chapter 60 Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation
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    Chapter 61 Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation
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    Chapter 62 Robust Physically-Constrained Modeling of the Mitral Valve and Subvalvular Apparatus
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    Chapter 63 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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    Chapter 64 Patient-Specific Mitral Leaflet Segmentation from 4D Ultrasound
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    Chapter 65 Vessel Connectivity Using Murray’s Hypothesis
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    Chapter 66 Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters
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    Chapter 67 A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model
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    Chapter 68 3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem
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    Chapter 69 Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography
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    Chapter 70 Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy
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    Chapter 71 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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    Chapter 73 Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection
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    Chapter 74 Active Learning for Interactive 3D Image Segmentation
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    Chapter 75 3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models
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    Chapter 76 Digital Imaging for the Education of Proper Surgical Hand Disinfection
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    Chapter 77 Reinforcement Learning for Context Aware Segmentation
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    Chapter 78 Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies
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    Chapter 79 Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation
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    Chapter 80 Probabilistic Multi-shape Segmentation of Knee Extensor and Flexor Muscles
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    Chapter 81 Robust Skull Stripping of Clinical Glioblastoma Multiforme Data
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    Chapter 82 Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-23626-6
ISBNs
978-3-64-223625-9, 978-3-64-223626-6
Editors

Gabor Fichtinger, Anne Martel, Terry Peters

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Geographical breakdown

Country Count As %
Unknown 867 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 <1%
Professor 1 <1%
Researcher 1 <1%
Other 1 <1%
Unknown 861 99%
Readers by discipline Count As %
Computer Science 3 <1%
Engineering 2 <1%
Physics and Astronomy 1 <1%
Unknown 861 99%

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