jianningli / tmi

A collection of the papers/codes and datasets associated with the MICCAI 2020 Cranial Implant Design Challenge.

Event	Venue	Organizers	Website
AutoImplant 2020	MICCAI 2020	Jianning Li and Jan Egger et al.	https://autoimplant.grand-challenge.org/

Authors	Venue	Title	BibTex
Li, J., Pimentel, P., Szengel, A., Ehlke, M., Lamecker, H., et al	IEEE TMI	AutoImplant 2020 - First MICCAI Challenge on Automatic Cranial Implant Design	BibTex

Proceedings	Editors	Publisher	Springer Link	Citation	Google Book
Towards the Automatization of Cranial Implant Design in Cranioplasty	Jianning Li and Jan Egger	Springer International Publishing	Springer Link	BibTex	Google Book

title	code	materials	cite
A baseline approach for autoimplant: the miccai 2020 cranial implant design challenge	github	n/a	BibTex
Patient Specific Implants (PSI): Cranioplasty in the Neurosurgical Clinical Routine	n/a	n/a	BibTex
Dataset Descriptor for the AutoImplant Cranial Implant Design Challenge	n/a	n/a	BibTex
Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks	n/a	n/a	BibTex
Cranial Implant Design Through Multiaxial Slice Inpainting Using Deep Learning	github	n/a	BibTex
Cranial Implant Design via Virtual Craniectomy with Shape Priors	github	A3(s), A3	BibTex
Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge	github	dataset	BibTex
Cranial Defect Reconstruction using Cascaded CNN with Alignment	github	n/a	BibTex
Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge	n/a	n/a	BibTex
Cranial Implant Prediction using Low-Resolution 3D Shape Completion and High-Resolution 2D Refinement	github	n/a	BibTex
Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization	n/a	n/a	BibTex
High-Resolution Cranial Implant Prediction via Patch-Wise Training	github	n/a	BibTex
Learning Volumetric Shape Super-Resolution for Cranial Implant Design	github	n/a	BibTex