Towards the Automatization of Cranial Implant Design in Cranioplasty

First Challenge, AutoImplant 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

AvJianning Li,Jan Egger

Häftad, Engelska, 2020

Del 12439 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the First Automatization of Cranial Implant Design in Cranioplasty Challenge, AutoImplant 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.

Produktinformation

Utgivningsdatum:2020-11-29
Mått:155 x 235 x 8 mm
Vikt:213 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:115
Förlag:Springer Nature Switzerland AG
ISBN:9783030643263

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Patient Specific Implants (PSI): Cranioplasty in the Neurosurgical Clinical Routine.- Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge.- Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks.- Cranial Implant Design through Multiaxial Slice Inpainting using Deep Learning.- Cranial Implant Design via Virtual Craniectomy with Shape Priors.- Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge.- Cranial Defect Reconstruction using Cascaded CNN with Alignment.- Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge.- Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement.- Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization.- High-resolution Cranial Implant Prediction via Patch-wise Training.- Learning Volumetric Shape Super-Resolution for Cranial Implant Design.