Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

Table of Contents

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   Book Overview
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   Chapter 1 Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation
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   Chapter 2 Unsupervised Myocardial Segmentation for Cardiac MRI
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   Chapter 3 Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity
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   Chapter 4 Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning
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   Chapter 5 GPSSI: Gaussian Process for Sampling Segmentations of Images
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   Chapter 6 Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI
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   Chapter 7 Interactive Multi-organ Segmentation Based on Multiple Template Deformation
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   Chapter 8 Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.
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    Chapter 9 Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI
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    Chapter 10 Interactive Whole-Heart Segmentation in Congenital Heart Disease.
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    Chapter 11 Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior
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    Chapter 12 Multiple Surface Segmentation Using Truncated Convex Priors
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    Chapter 13 Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality
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    Chapter 14 Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs
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    Chapter 15 Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues
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    Chapter 16 Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
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    Chapter 17 A Latent Source Model for Patch-Based Image Segmentation.
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    Chapter 18 Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis
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    Chapter 19 Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information
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    Chapter 20 A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation
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    Chapter 21 A 3D Fractal-Based Approach towards Understanding Changes in the Infarcted Heart Microvasculature
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    Chapter 22 Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input
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    Chapter 23 Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution.
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    Chapter 24 Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints.
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    Chapter 25 Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery
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    Chapter 26 Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics
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    Chapter 27 Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters
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    Chapter 28 U-Net: Convolutional Networks for Biomedical Image Segmentation
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    Chapter 29 Co-restoring Multimodal Microscopy Images
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    Chapter 30 A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images.
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    Chapter 31 Adaptive Co-occurrence Differential Texton Space for HEp-2 Cells Classification
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    Chapter 32 Learning to Segment: Training Hierarchical Segmentation under a Topological Loss
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    Chapter 33 You Should Use Regression to Detect Cells
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    Chapter 34 A Hybrid Approach for Segmentation and Tracking of Myxococcus Xanthus Swarms
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    Chapter 35 Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning
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    Chapter 36 Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation
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    Chapter 37 Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification
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    Chapter 38 Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations
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    Chapter 39 Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation
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    Chapter 40 Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour
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    Chapter 41 Restoring the Invisible Details in Differential Interference Contrast Microscopy Images
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    Chapter 42 A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set
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    Chapter 43 Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network
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    Chapter 44 Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis
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    Chapter 45 Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images
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    Chapter 46 Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders
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    Chapter 47 Automatic in Vivo Cell Detection in MRI
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    Chapter 48 Automatic Vessel Segmentation from Pulsatile Radial Distension
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    Chapter 49 A Sparse Bayesian Learning Algorithm for Longitudinal Image Data.
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    Chapter 50 Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition
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    Chapter 51 Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
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    Chapter 52 Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
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    Chapter 53 Motion Estimation of Common Carotid Artery Wall Using a H ∞  Filter Based Block Matching Method
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    Chapter 54 Gated-tracking: Estimation of Respiratory Motion with Confidence
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    Chapter 55 Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis.
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    Chapter 56 Spatiotemporal Parsing of Motor Kinematics for Assessing Stroke Recovery
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    Chapter 57 Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization
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    Chapter 58 Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI
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    Chapter 59 Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning
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    Chapter 60 Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME).
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    Chapter 61 Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression
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    Chapter 62 Predictive Modeling of Anatomy with Genetic and Clinical Data.
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    Chapter 63 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
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    Chapter 64 Learning with Heterogeneous Data for Longitudinal Studies
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    Chapter 65 Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes.
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    Chapter 66 Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences
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    Chapter 67 Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.
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    Chapter 68 NEOCIVET: Extraction of Cortical Surface and Analysis of Neonatal Gyrification Using a Modified CIVET Pipeline
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    Chapter 69 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
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    Chapter 70 Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures
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    Chapter 71 Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters
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    Chapter 72 Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold
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    Chapter 73 A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests
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    Chapter 74 Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features
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    Chapter 75 A Statistical Model for Smooth Shapes in Kendall Shape Space
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    Chapter 76 A Cross Saliency Approach to Asymmetry-Based Tumor Detection
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    Chapter 77 Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum
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    Chapter 78 Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models
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    Chapter 79 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
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    Chapter 80 Automatic Feature Learning for Glaucoma Detection Based on Deep Learning
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    Chapter 81 Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach
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    Chapter 82 Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans
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    Chapter 83 Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy
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    Chapter 84 Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation
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    Chapter 85 Positive Delta Detection for Alpha Shape Segmentation of 3D Ultrasound Images of Pathologic Kidneys
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    Chapter 86 Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling.
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    Chapter 87 Model Criticism for Regression on the Grassmannian
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    Chapter 88 Structural Edge Detection for Cardiovascular Modeling
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    Chapter 89 Sample Size Estimation for Outlier Detection
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    Chapter 90 Multi-scale Heat Kernel based Volumetric Morphology Signature.
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    Chapter 91 Structural Brain Mapping