Task 1

The skulls in the dataset for task 1 are aligned. A more detailed description of the dataset can be found from [1].

Task 2

There is no training set for task 2.

Task 3

The dataset for AutoImplant 2020 will be used for task 3 of AutoImplant 2021.

  • training set: Download here
  • test cases 000.nrrd-099.nrrd: Download here.
  • test cases 100.nrrd-109.nrrd: Download here.

[1] Kodym, O., Li, J., Pepe, A., Gsaxner, C., Chilamkurthy, S., Egger, J. and Španěl, M., 2021. SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks. Data in Brief, 35, p.106902. (Link)

The challenge is closed. However, dataset can still be accessed upon request. A reference to the following publication is required to use any part of the challenge dataset:

Li, J., Ellis, D.G., Kodym, O., Rauschenbach, L., Rieß, C., Sure, U., Wrede, K.H., Alvarez, C.M., Wodzinski, M., Daniol, M. and Hemmerling, D., 2023. Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Analysis, p.102865.

Further datasets:

https://www.nature.com/articles/s41597-021-00806-0