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Biomedical Visualisation

Overview of attention for book
Cover of 'Biomedical Visualisation'

Table of Contents

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    Book Overview
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    Chapter 1 Interactive 3D Digital Models for Anatomy and Medical Education
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    Chapter 2 Using Interactive 3D Visualisations in Neuropsychiatric Education
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    Chapter 3 New Tools in Education: Development and Learning Effectiveness of a Computer Application for Use in a University Biology Curriculum
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    Chapter 4 Seeing with Sound: How Ultrasound Is Changing the Way We Look at Anatomy
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    Chapter 5 Creating a 3D Learning Tool for the Growth and Development of the Craniofacial Skeleton
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    Chapter 6 Medical Imaging and Facial Soft Tissue Thickness Studies for Forensic Craniofacial Approximation: A Pilot Study on Modern Cretans
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    Chapter 7 The Affordances of 3D and 4D Digital Technologies for Computerized Facial Depiction
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    Chapter 8 Auxiliary Tools for Enhanced Depth Perception in Vascular Structures
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    Chapter 9 A Visual Analytics Approach for Comparing Cohorts in Single-Voxel Magnetic Resonance Spectroscopy Data
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    Chapter 10 Visual Analytics for the Representation, Exploration, and Analysis of High-Dimensional, Multi-faceted Medical Data
Attention for Chapter 8: Auxiliary Tools for Enhanced Depth Perception in Vascular Structures
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Citations

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3 Mendeley
Summary Dimensions citations
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Chapter title
Auxiliary Tools for Enhanced Depth Perception in Vascular Structures
Chapter number 8
Book title
Biomedical Visualisation
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-14227-8_8
Pubmed ID
31313261
Book ISBNs
978-3-03-014226-1, 978-3-03-014227-8
Authors

Nils Lichtenberg, Kai Lawonn, Lichtenberg, Nils, Lawonn, Kai

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 100%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Computer Science 1 33%
Unknown 1 33%

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