SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks-Reference-Cited by-同舟云学术

SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks

Published:2021-04 Issue: Volume:35 Page:106902
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Kodym Oldřich,Li Jianning,Pepe Antonio,Gsaxner Christina,Chilamkurthy Sasank,Egger Jan,Španěl Michal

Funder

FWF

Graz University of Technology

SFG

Bute Library

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference4 articles.

1. A baseline approach for autoimplant: the miccai 2020 cranial implant design challenge;Li,2020

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

3. Segmentation of defective skulls from ct data for tissue modelling;Kodym;arXiv preprint arXiv: 1911.08805,2019

4. An online platform for automatic skull defect restoration and cranial implant design;Li;Proc. SPIE 11598, Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, 115981Q,2021

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