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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 12: Patient Specific Classification of Dental Root Canal and Crown Shape
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Citations

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Chapter title
Patient Specific Classification of Dental Root Canal and Crown Shape
Chapter number 12
Book title
Shape in Medical Imaging
Published by
Springer, Cham, October 2020
DOI 10.1007/978-3-030-61056-2_12
Pubmed ID
33385170
Book ISBNs
978-3-03-061055-5, 978-3-03-061056-2
Authors

Maxime Dumont, Juan Carlos Prieto, Serge Brosset, Lucia Cevidanes, Jonas Bianchi, Antonio Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr, Dumont, Maxime, Prieto, Juan Carlos, Brosset, Serge, Cevidanes, Lucia, Bianchi, Jonas, Ruellas, Antonio, Gurgel, Marcela, Massaro, Camila, Castillo, Aron Aliaga Del, Ioshida, Marcos, Yatabe, Marilia, Benavides, Erika, Rios, Hector, Soki, Fabiana, Neiva, Gisele, Aristizabal, Juan Fernando, Rey, Diego, Alvarez, Maria Antonia, Najarian, Kayvan, Gryak, Jonathan, Styner, Martin, Fillion-Robin, Jean-Christophe, Paniagua, Beatriz, Soroushmehr, Reza

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 15%
Student > Bachelor 4 10%
Professor > Associate Professor 4 10%
Student > Master 2 5%
Student > Ph. D. Student 2 5%
Other 5 13%
Unknown 17 43%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Unspecified 6 15%
Computer Science 4 10%
Agricultural and Biological Sciences 1 3%
Unknown 18 45%

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