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Deep Learning for Cranial Defect Reconstruction
Jianning Li
Institute of Computer Graphics and Vision (7100)
Research output
:
Thesis
›
Master's Thesis
Overview
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Dive into the research topics of 'Deep Learning for Cranial Defect Reconstruction'. Together they form a unique fingerprint.
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Engineering
Defects
100%
Deep Learning
100%
Tasks
42%
High Resolution
42%
Implant
28%
Convolutional Neural Network
28%
Patient Specific
14%
Applicability
14%
Clinical Routine
14%
Supervised Training
14%
Deep Neural Network
14%
Shape Reconstruction
14%
Computer Science
Convolutional Neural Network
100%
Deep Learning
100%
Clinical Routine
50%
Deep Neural Network
50%
Automatic Design
50%
Task Completion
50%
Chemical Engineering
Neural Network
100%
Deep Learning
100%
Deep Neural Network
50%
Neuroscience
Skull
100%
Cranioplasty
100%
Craniotomy
9%