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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

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Cover of 'Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease
  3. Altmetric Badge
    Chapter 2 Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method
  4. Altmetric Badge
    Chapter 3 Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification
  5. Altmetric Badge
    Chapter 4 Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks
  6. Altmetric Badge
    Chapter 5 Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors
  7. Altmetric Badge
    Chapter 6 Differential Dementia Diagnosis on Incomplete Data with Latent Trees
  8. Altmetric Badge
    Chapter 7 Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules
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    Chapter 8 Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images
  10. Altmetric Badge
    Chapter 9 Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer’s Disease Diagnosis
  11. Altmetric Badge
    Chapter 10 Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer’s Disease Diagnosis
  12. Altmetric Badge
    Chapter 11 Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis
  13. Altmetric Badge
    Chapter 12 Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers
  14. Altmetric Badge
    Chapter 13 The Automated Learning of Deep Features for Breast Mass Classification from Mammograms
  15. Altmetric Badge
    Chapter 14 Multimodal Deep Learning for Cervical Dysplasia Diagnosis
  16. Altmetric Badge
    Chapter 15 Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction
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    Chapter 16 DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field
  18. Altmetric Badge
    Chapter 17 Deep Retinal Image Understanding
  19. Altmetric Badge
    Chapter 18 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
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    Chapter 19 Deep Neural Networks for Fast Segmentation of 3D Medical Images
  21. Altmetric Badge
    Chapter 20 SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs
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    Chapter 21 A Deep Learning Approach for Semantic Segmentation in Histology Tissue Images
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    Chapter 22 Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation
  24. Altmetric Badge
    Chapter 23 Automated Age Estimation from Hand MRI Volumes Using Deep Learning
  25. Altmetric Badge
    Chapter 24 Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks
  26. Altmetric Badge
    Chapter 25 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients
  27. Altmetric Badge
    Chapter 26 From Local to Global Random Regression Forests: Exploring Anatomical Landmark Localization
  28. Altmetric Badge
    Chapter 27 Regressing Heatmaps for Multiple Landmark Localization Using CNNs
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    Chapter 28 Self-Transfer Learning for Weakly Supervised Lesion Localization
  30. Altmetric Badge
    Chapter 29 Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression
  31. Altmetric Badge
    Chapter 30 Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation
  32. Altmetric Badge
    Chapter 31 Bayesian Image Quality Transfer
  33. Altmetric Badge
    Chapter 32 Wavelet Appearance Pyramids for Landmark Detection and Pathology Classification: Application to Lumbar Spinal Stenosis
  34. Altmetric Badge
    Chapter 33 A Learning-Free Approach to Whole Spine Vertebra Localization in MRI
  35. Altmetric Badge
    Chapter 34 Automatic Quality Control for Population Imaging: A Generic Unsupervised Approach
  36. Altmetric Badge
    Chapter 35 A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation
  37. Altmetric Badge
    Chapter 36 Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification
  38. Altmetric Badge
    Chapter 37 Vision-Based Classification of Developmental Disorders Using Eye-Movements
  39. Altmetric Badge
    Chapter 38 Scalable Unsupervised Domain Adaptation for Electron Microscopy
  40. Altmetric Badge
    Chapter 39 Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation
  41. Altmetric Badge
    Chapter 40 Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
  42. Altmetric Badge
    Chapter 41 Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation
  43. Altmetric Badge
    Chapter 42 Orientation-Sensitive Overlap Measures for the Validation of Medical Image Segmentations
  44. Altmetric Badge
    Chapter 43 High-Throughput Glomeruli Analysis of $$\mu $$ CT Kidney Images Using Tree Priors and Scalable Sparse Computation
  45. Altmetric Badge
    Chapter 44 A Surface Patch-Based Segmentation Method for Hippocampal Subfields
  46. Altmetric Badge
    Chapter 45 Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images
  47. Altmetric Badge
    Chapter 46 Evaluation-Oriented Training via Surrogate Metrics for Multiple Sclerosis Segmentation
  48. Altmetric Badge
    Chapter 47 Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction
  49. Altmetric Badge
    Chapter 48 Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
  50. Altmetric Badge
    Chapter 49 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
  51. Altmetric Badge
    Chapter 50 Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNs
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    Chapter 51 Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks
  53. Altmetric Badge
    Chapter 52 Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
  54. Altmetric Badge
    Chapter 53 Topology Aware Fully Convolutional Networks for Histology Gland Segmentation
  55. Altmetric Badge
    Chapter 54 HeMIS: Hetero-Modal Image Segmentation
  56. Altmetric Badge
    Chapter 55 Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities
  57. Altmetric Badge
    Chapter 56 Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
  58. Altmetric Badge
    Chapter 57 Gland Instance Segmentation by Deep Multichannel Side Supervision
  59. Altmetric Badge
    Chapter 58 Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning
  60. Altmetric Badge
    Chapter 59 Feature Sensitive Label Fusion with Random Walker for Atlas-Based Image Segmentation
  61. Altmetric Badge
    Chapter 60 Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images
  62. Altmetric Badge
    Chapter 61 Prior-Based Coregistration and Cosegmentation
  63. Altmetric Badge
    Chapter 62 Globally Optimal Label Fusion with Shape Priors
  64. Altmetric Badge
    Chapter 63 Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning
  65. Altmetric Badge
    Chapter 64 Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation
  66. Altmetric Badge
    Chapter 65 Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI
  67. Altmetric Badge
    Chapter 66 7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images
  68. Altmetric Badge
    Chapter 67 Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI
  69. Altmetric Badge
    Chapter 68 Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI
  70. Altmetric Badge
    Chapter 69 Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features
  71. Altmetric Badge
    Chapter 70 Multiple Object Segmentation and Tracking by Bayes Risk Minimization
  72. Altmetric Badge
    Chapter 71 Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence
  73. Altmetric Badge
    Chapter 72 Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study
  74. Altmetric Badge
    Chapter 73 Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation
  75. Altmetric Badge
    Chapter 74 Subtype Cell Detection with an Accelerated Deep Convolution Neural Network
  76. Altmetric Badge
    Chapter 75 Imaging Biomarker Discovery for Lung Cancer Survival Prediction
  77. Altmetric Badge
    Chapter 76 3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut
  78. Altmetric Badge
    Chapter 77 Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution
  79. Altmetric Badge
    Chapter 78 Detecting 10,000 Cells in One Second
  80. Altmetric Badge
    Chapter 79 A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy Images
  81. Altmetric Badge
    Chapter 80 Erratum to: A Learning-Free Approach to Whole Spine Vertebra Localization in MRI
Attention for Chapter 72: Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study
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Chapter title
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study
Chapter number 72
Book title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
Published in
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, October 2016
DOI 10.1007/978-3-319-46723-8_72
Pubmed ID
28845485
Book ISBNs
978-3-31-946722-1, 978-3-31-946723-8
Authors

Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, Colin O. Wu, Bharath A. Venkatesh, R. Graham Barr, Andrew F. Laine, Yang, Jie, Angelini, Elsa D., Balte, Pallavi P., Hoffman, Eric A., Wu, Colin O., Venkatesh, Bharath A., Barr, R. Graham, Laine, Andrew F.

Abstract

Cardiac computed tomography (CT) scans include approximately 2/3 of the lung and can be obtained with low radiation exposure. Large cohorts of population-based research studies reported high correlations of emphysema quantification between full-lung (FL) and cardiac CT scans, using thresholding-based measurements. This work extends a hidden Markov measure field (HMMF) model-based segmentation method for automated emphysema quantification on cardiac CT scans. We show that the HMMF-based method, when compared with several types of thresholding, provides more reproducible emphysema segmentation on repeated cardiac scans, and more consistent measurements between longitudinal cardiac and FL scans from a diverse pool of scanner types and thousands of subjects with ten thousands of scans.

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Other 3 17%
Researcher 3 17%
Professor 1 6%
Student > Master 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Medicine and Dentistry 5 28%
Engineering 5 28%
Computer Science 2 11%
Unknown 6 33%