Table of Contents

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   Book Overview
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   Chapter 1 Leveraging Random Forests for Interactive Exploration of Large Histological Images
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   Chapter 2 Cell Detection and Segmentation Using Correlation Clustering
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   Chapter 3 Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes
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   Chapter 4 A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure
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   Chapter 5 Shading Correction for Whole Slide Image Using Low Rank and Sparse Decomposition
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   Chapter 6 Cell-Sensitive Microscopy Imaging for Cell Image Segmentation
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   Chapter 7 A Probabilistic Approach to Quantification of Melanin and Hemoglobin Content in Dermoscopy Images
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   Chapter 8 Automated, Non-Invasive Characterization of Stem Cell-Derived Cardiomyocytes from Phase-Contrast Microscopy
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    Chapter 9 Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation
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    Chapter 10 Identifying Neutrophils in H&E Staining Histology Tissue Images
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    Chapter 11 Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans
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    Chapter 12 Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval
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    Chapter 13 Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation
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    Chapter 14 Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data
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    Chapter 15 Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Data
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    Chapter 16 Deformable Reconstruction of Histology Sections Using Structural Probability Maps
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    Chapter 17 Optimally Stabilized PET Image Denoising Using Trilateral Filtering
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    Chapter 18 Real Time Dynamic MRI with Dynamic Total Variation
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    Chapter 19 Improved Reconstruction of 4D-MR Images by Motion Predictions
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    Chapter 20 Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion
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    Chapter 21 Speckle reduction in optical coherence tomography by image registration and matrix completion.
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    Chapter 22 Signal Decomposition for X-ray Dark-Field Imaging
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    Chapter 23 Iterative Most Likely Oriented Point Registration
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    Chapter 24 Robust Anatomical Landmark Detection for MR Brain Image Registration
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    Chapter 25 Free-Form Deformation Using Lower-Order B-spline for Nonrigid Image Registration
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    Chapter 26 Multispectral Image Registration Based on Local Canonical Correlation Analysis
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    Chapter 27 Topology Preservation and Anatomical Feasibility in Random Walker Image Registration
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    Chapter 28 DR-BUDDI: Diffeomorphic Registration for Blip Up-Down Diffusion Imaging
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    Chapter 29 Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational Framework
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    Chapter 30 Sparse Bayesian Registration
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    Chapter 31 Histology to μCT Data Matching Using Landmarks and a Density Biased RANSAC
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    Chapter 32 Robust Registration of Longitudinal Spine CT
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    Chapter 33 Geometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration
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    Chapter 34 Gaussian Process Interpolation for Uncertainty Estimation in Image Registration
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    Chapter 35 Hough Space Parametrization: Ensuring Global Consistency in Intensity-Based Registration
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    Chapter 36 2D/3D Registration of TEE Probe from Two Non-orthogonal C-Arm Directions
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    Chapter 37 Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space
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    Chapter 38 Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition
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    Chapter 39 Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature
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    Chapter 40 Atlas-Based Under-Segmentation
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    Chapter 41 Bayesian Model Selection for Pathological Data
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    Chapter 42 Automatic Localization of Cochlear Implant Electrodes in CT
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    Chapter 43 Coronary Lumen and Plaque Segmentation from CTA Using Higher-Order Shape Prior
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    Chapter 44 Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation
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    Chapter 45 Robust Bone Detection in Ultrasound Using Combined Strain Imaging and Envelope Signal Power Detection
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    Chapter 46 SIMPLE Is a Good Idea (and Better with Context Learning)
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    Chapter 47 Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning
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    Chapter 48 TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation
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    Chapter 49 Small Sample Learning of Superpixel Classifiers for EM Segmentation
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    Chapter 50 A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth
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    Chapter 51 Auto Localization and Segmentation of Occluded Vessels in Robot-Assisted Partial Nephrectomy
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    Chapter 52 3D Global Estimation and Augmented Reality Visualization of Intra-operative X-ray Dose
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    Chapter 53 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 54 Pico Lantern: A Pick-up Projector for Augmented Reality in Laparoscopic Surgery
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    Chapter 55 Efficient Stereo Image Geometrical Reconstruction at Arbitrary Camera Settings from a Single Calibration
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    Chapter 56 A Compact Active Stereovision System with Dynamic Reconfiguration for Endoscopy or Colonoscopy Applications
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    Chapter 57 Continuous Zoom Calibration by Tracking Salient Points in Endoscopic Video
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    Chapter 58 Instrument Tracking via Online Learning in Retinal Microsurgery
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    Chapter 59 Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow
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    Chapter 60 3D Steering of a Flexible Needle by Visual Servoing
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    Chapter 61 Improved Screw Placement for Slipped Capital Femoral Epiphysis (SCFE) Using Robotically-Assisted Drill Guidance
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    Chapter 62 Hierarchical HMM Based Learning of Navigation Primitives for Cooperative Robotic Endovascular Catheterization
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    Chapter 63 Towards Personalized Interventional SPECT-CT Imaging
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    Chapter 64 Chest Modeling and Personalized Surgical Planning for Pectus Excavatum
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    Chapter 65 A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations
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    Chapter 66 Towards Automatic Plan Selection for Radiotherapy of Cervical Cancer by Fast Automatic Segmentation of Cone Beam CT Scans
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    Chapter 67 Breast Cancer Risk Analysis Based on a Novel Segmentation Framework for Digital Mammograms
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    Chapter 68 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers
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    Chapter 69 Patient Specific Image Driven Evaluation of the Aggressiveness of Metastases to the Lung
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    Chapter 70 Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors
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    Chapter 71 Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies
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    Chapter 72 fhSPECT-US Guided Needle Biopsy of Sentinel Lymph Nodes in the Axilla: Is it Feasible?
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    Chapter 73 Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images
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    Chapter 74 Automated Detection of New or Evolving Melanocytic Lesions Using a 3D Body Model
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    Chapter 75 Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests
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    Chapter 76 Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics
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    Chapter 77 Real-Time Visualisation and Analysis of Internal Examinations – Seeing the Unseen
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    Chapter 78 Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs
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    Chapter 79 Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images
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    Chapter 80 Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography
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    Chapter 81 Multi-frame Super-resolution with Quality Self-assessment for Retinal Fundus Videos
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    Chapter 82 An Automated System for Detecting and Measuring Nailfold Capillaries
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    Chapter 83 Geodesic Patch-Based Segmentation
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    Chapter 84 Tagged Template Deformation
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    Chapter 85 Segmentation of the Right Ventricle Using Diffusion Maps and Markov Random Fields
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    Chapter 86 Differential and Relaxed Image Foresting Transform for Graph-Cut Segmentation of Multiple 3D Objects
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    Chapter 87 Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation
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    Chapter 88 Detection and Registration of Ribs in MRI Using Geometric and Appearance Models
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    Chapter 89 Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation
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    Chapter 90 Robust Cortical Thickness Measurement with LOGISMOS-B
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    Chapter 91 Label Inference with Registration and Patch Priors
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    Chapter 92 Automated 3D Segmentation of Multiple Surfaces with a Shared Hole: Segmentation of the Neural Canal Opening in SD-OCT Volumes
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    Chapter 93 Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image
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    Chapter 94 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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    Chapter 95 Combining Generative Models for Multifocal Glioma Segmentation and Registration
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    Chapter 96 Partial Volume Estimation in Brain MRI Revisited
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    Chapter 97 Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA
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    Chapter 98 Optic Cup Segmentation for Glaucoma Detection Using Low-Rank Superpixel Representation
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     Chapter 99 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
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     Chapter 100 Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints
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     Chapter 101 Erratum: Iterative Most Likely Oriented Point Registration