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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013

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Table of Contents

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    Book Overview
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    Chapter 1 Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery
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    Chapter 2 A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration
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    Chapter 3 Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes
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    Chapter 4 Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization
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    Chapter 5 Atlas Construction for Dynamic (4D) PET Using Diffeomorphic Transformations
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    Chapter 6 Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration
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    Chapter 7 A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images
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    Chapter 8 Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy
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    Chapter 9 Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking
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    Chapter 10 Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors
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    Chapter 11 A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases
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    Chapter 12 Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching
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    Chapter 13 Registration of Free-Breathing 3D+t Abdominal Perfusion CT Images via Co-segmentation
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    Chapter 14 Respiratory Motion Compensation with Relevance Vector Machines
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    Chapter 15 Real-Time Respiratory Motion Analysis Using Manifold Ray Casting of Volumetrically Fused Multi-view Range Imaging
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    Chapter 16 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 17 Respiratory Motion Correction in Dynamic-MRI: Application to Small Bowel Motility Quantification during Free Breathing
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    Chapter 18 Non-rigid Deformation Pipeline for Compensation of Superficial Brain Shift
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    Chapter 19 A Symmetric 4D Registration Algorithm for Respiratory Motion Modeling
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    Chapter 20 Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models
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    Chapter 21 Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images
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    Chapter 22 An Automatic Multi-atlas Segmentation of the Prostate in Transrectal Ultrasound Images Using Pairwise Atlas Shape Similarity
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    Chapter 23 Accurate bone segmentation in 2D radiographs using fully automatic shape model matching based on regression-voting.
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    Chapter 24 Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models
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    Chapter 25 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 26 Image Segmentation Errors Correction by Mesh Segmentation and Deformation
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    Chapter 27 Semi-Supervised and Active Learning for Automatic Segmentation of Crohn’s Disease
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    Chapter 28 Hierarchical Constrained Local Model Using ICA and Its Application to Down Syndrome Detection
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    Chapter 29 Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
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    Chapter 30 Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology
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    Chapter 31 Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network.
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    Chapter 32 Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation
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    Chapter 33 Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
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    Chapter 34 A Multi-task Learning Approach for Compartmental Model Parameter Estimation in DCE-CT Sequences
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    Chapter 35 Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study
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    Chapter 36 Quantitative airway analysis in longitudinal studies using groupwise registration and 4D optimal surfaces.
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    Chapter 37 Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk
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    Chapter 38 Multifold Bayesian kernelization in Alzheimer's diagnosis.
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    Chapter 39 High-Order Graph Matching Based Feature Selection for Alzheimer’s Disease Identification
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    Chapter 40 Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks
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    Chapter 41 Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields
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    Chapter 42 Measurement of myelin in the preterm brain: multi-compartment diffusion imaging and multi-component T2 relaxometry.
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    Chapter 43 Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images
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    Chapter 44 Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons
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    Chapter 45 Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features
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    Chapter 46 Learning-Based Modeling of Endovascular Navigation for Collaborative Robotic Catheterization
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    Chapter 47 Incremental Learning with Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy
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    Chapter 48 A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy
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    Chapter 49 Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment
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    Chapter 50 A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection
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    Chapter 51 Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
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    Chapter 52 Learning to Segment Neurons with Non-local Quality Measures
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    Chapter 53 Analysis of Trabecular Bone Microstructure Using Contour Tree Connectivity
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    Chapter 54 Automated Separation of Binary Overlapping Trees in Low-Contrast Color Retinal Images
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    Chapter 55 Longitudinal Modeling of Glaucoma Progression Using 2-Dimensional Continuous-Time Hidden Markov Model
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    Chapter 56 Discriminative data transform for image feature extraction and classification.
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    Chapter 57 Automated Embryo Stage Classification in Time-Lapse Microscopy Video of Early Human Embryo Development
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    Chapter 58 Automatic Grading of Nuclear Cataracts from Slit-Lamp Lens Images Using Group Sparsity Regression
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    Chapter 59 3D Intraventricular Flow Mapping from Colour Doppler Images and Wall Motion
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    Chapter 60 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 61 Joint Statistics on Cardiac Shape and Fiber Architecture
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    Chapter 62 Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing
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    Chapter 63 Cardiac Fiber Inpainting Using Cartan Forms
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    Chapter 64 Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion
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    Chapter 65 Tracking of Carotid Arteries in Ultrasound Images
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    Chapter 66 Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels
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    Chapter 67 Carotid Artery Lumen Segmentation in 3D Free-Hand Ultrasound Images Using Surface Graph Cuts
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    Chapter 68 Random Walks with Adaptive Cylinder Flux Based Connectivity for Vessel Segmentation
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    Chapter 69 Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces
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    Chapter 70 Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search
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    Chapter 71 Free-Breathing Whole-Heart Coronary MRA: Motion Compensation Integrated into 3D Cartesian Compressed Sensing Reconstruction
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    Chapter 72 Deep Learning-Based Feature Representation for AD/MCI Classification
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    Chapter 73 Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations
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    Chapter 74 Multiple Instance Learning for Classification of Dementia in Brain MRI
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    Chapter 75 Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning
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    Chapter 76 Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data
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    Chapter 77 A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis
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    Chapter 78 Manifold Learning of Brain MRIs by Deep Learning
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    Chapter 79 Multiresolution hierarchical shape models in 3D subcortical brain structures.
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    Chapter 80 Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
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    Chapter 81 A Spatial Mixture Approach to Inferring Sub-ROI Spatio-temporal Patterns from Rapid Event-Related fMRI Data
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    Chapter 82 Group-wise FMRI activation detection on corresponding cortical landmarks.
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    Chapter 83 Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI
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    Chapter 84 Overlapping Replicator Dynamics for Functional Subnetwork Identification
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    Chapter 85 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
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    Chapter 86 Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
Published by
Springer Berlin Heidelberg, September 2013
DOI 10.1007/978-3-642-40763-5
ISBNs
978-3-64-240762-8, 978-3-64-240763-5
Editors

Mori, Kensaku, Sakuma, Ichiro, Sato, Yoshinobu, Barillot, Christian, Navab, Nassir

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The data shown below were collected from the profiles of 7 X users 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 1,081 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1081 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 <1%
Student > Ph. D. Student 3 <1%
Researcher 1 <1%
Unknown 1073 99%
Readers by discipline Count As %
Computer Science 4 <1%
Engineering 3 <1%
Agricultural and Biological Sciences 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Unknown 1072 99%