Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects
Author:
Affiliation:
1. AGH University of Krakow,Krakow,Poland
2. AGH University of Krakow,Department of Measurement and Electronics,Krakow,Poland
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350616.pdf?arnumber=10350616
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1. Improving deep learning-based automatic cranial defect reconstruction by heavy data augmentation: From image registration to latent diffusion models;Computers in Biology and Medicine;2024-11
2. AI-Based Automated Custom Cranial Implant Design – Challenges and Opportunities with Case Study;Lecture Notes in Mechanical Engineering;2024
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