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Biomedical Image Registration

Overview of attention for book
Cover of 'Biomedical Image Registration'

Table of Contents

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    Book Overview
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    Chapter 1 An Inhomogeneous Multi-resolution Regularization Concept for Discontinuity Preserving Image Registration
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    Chapter 2 Statistical Motion Mask and Sliding Registration
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    Chapter 3 Adaptive Graph Diffusion Regularisation for Discontinuity Preserving Image Registration
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    Chapter 4 Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation
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    Chapter 5 A Novel Similarity Measure for Image Sequences
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    Chapter 6 Semi-automated Processing of Real-Time CMR Scans for Left Ventricle Segmentation
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    Chapter 7 Averaged Stochastic Optimization for Medical Image Registration Based on Variance Reduction
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    Chapter 8 Registration Evaluation by De-enhancing CT Images
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    Chapter 9 Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancer
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    Chapter 10 Instrument Pose Estimation Using Registration for Otobasis Surgery
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    Chapter 11 Local Image Registration Uncertainty Estimation Using Polynomial Chaos Expansions
Attention for Chapter 10: Instrument Pose Estimation Using Registration for Otobasis Surgery
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4 Mendeley
Summary
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Chapter title
Instrument Pose Estimation Using Registration for Otobasis Surgery
Chapter number 10
Book title
Biomedical Image Registration
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-92258-4_10
Book ISBNs
978-3-31-992257-7, 978-3-31-992258-4
Authors

David Kügler, Martin Andrade Jastrzebski, Anirban Mukhopadhyay, Kügler, David, Jastrzebski, Martin Andrade, Mukhopadhyay, Anirban

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Professor > Associate Professor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Engineering 2 50%
Medicine and Dentistry 1 25%
Earth and Planetary Sciences 1 25%

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