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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 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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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 867 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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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