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Towards the Automatization of Cranial Implant Design in Cranioplasty

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Table of Contents

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    Book Overview
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    Chapter 1 Patient Specific Implants (PSI)
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    Chapter 2 Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge
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    Chapter 3 Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks
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    Chapter 4 Cranial Implant Design Through Multiaxial Slice Inpainting Using Deep Learning
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    Chapter 5 Cranial Implant Design via Virtual Craniectomy with Shape Priors
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    Chapter 6 Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge
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    Chapter 7 Cranial Defect Reconstruction Using Cascaded CNN with Alignment
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    Chapter 8 Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge
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    Chapter 9 Cranial Implant Prediction Using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement
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    Chapter 10 Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization
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    Chapter 11 High-Resolution Cranial Implant Prediction via Patch-Wise Training
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    Chapter 12 Learning Volumetric Shape Super-Resolution for Cranial Implant Design
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