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Shape in Medical Imaging

Overview of attention for book
Cover of 'Shape in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Composition of Transformations in the Registration of Sets of Points or Oriented Points
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    Chapter 2 Uncertainty Reduction in Contour-Based 3D/2D Registration of Bone Surfaces
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    Chapter 3 Learning Shape Priors from Pieces
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    Chapter 4 Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
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    Chapter 5 Uncertain-DeepSSM: From Images to Probabilistic Shape Models
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    Chapter 6 D-net: Siamese Based Network for Arbitrarily Oriented Volume Alignment
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    Chapter 7 A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative
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    Chapter 8 Interpretation of Brain Morphology in Association to Alzheimer’s Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
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    Chapter 9 Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints
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    Chapter 10 Learning a Statistical Full Spine Model from Partial Observations
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    Chapter 11 Morphology-Based Individual Vertebrae Classification
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    Chapter 12 Patient Specific Classification of Dental Root Canal and Crown Shape
Attention for Chapter 4: Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
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Citations

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Chapter title
Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis
Chapter number 4
Book title
Shape in Medical Imaging
Published by
Springer, Cham, October 2020
DOI 10.1007/978-3-030-61056-2_4
Book ISBNs
978-3-03-061055-5, 978-3-03-061056-2
Authors

Martin Hanik, Hans-Christian Hege, Christoph von Tycowicz, Hanik, Martin, Hege, Hans-Christian, Tycowicz, Christoph von

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Psychology 1 50%

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