Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data-Reference-Cited by-同舟云学术

Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data

Published:2021-10 Issue: Volume:137 Page:104766
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kodym Oldřich^ORCID,Španěl Michal,Herout Adam

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference27 articles.

1. A comparison and cost analysis of cranioplasty techniques;Gilardino;J. Craniofac. Surg.,2015

2. Cranioplasty with three-dimensional customised mould for polymethylmethacrylate implant: a series of 16 consecutive patients with cost-effectiveness consideration;da Silva Júnior;3D Printing in Medicine,2021

3. Surgical results of cranioplasty using three-dimensional printing technology;Cheng;Clin. Neurol. Neurosurg.,2018

4. Skull shape reconstruction using cascaded convolutional networks;Kodym;Comput. Biol. Med.,2020

5. 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;Li;Lect. Notes Comput. Sci.,2021

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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. Intelligent surgical planning for automatic reconstruction of orbital blowout fracture using a prior adversarial generative network;Medical Image Analysis;2024-09

3. Neural shape completion for personalized Maxillofacial surgery;Scientific Reports;2024-08-27

4. Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model;Journal of Medical Systems;2024-05-23

5. Thickness and design features of clinical cranial implants—what should automated methods strive to replicate?;International Journal of Computer Assisted Radiology and Surgery;2024-03-02