Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting

Antonio Pepe 0003, Gabriel Mistelbauer, Christina Gsaxner, Jianning Li, Dominik Fleischmann, Dieter Schmalstieg, Jan Egger. Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting. In Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah E. Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori, editors, Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Volume 12502 of Lecture Notes in Computer Science, pages 130-140, Springer, 2020. [doi]

@inproceedings{PepeMGLFSE20,
  title = {Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting},
  author = {Antonio Pepe 0003 and Gabriel Mistelbauer and Christina Gsaxner and Jianning Li and Dominik Fleischmann and Dieter Schmalstieg and Jan Egger},
  year = {2020},
  doi = {10.1007/978-3-030-62469-9_12},
  url = {https://doi.org/10.1007/978-3-030-62469-9_12},
  researchr = {https://researchr.org/publication/PepeMGLFSE20},
  cites = {0},
  citedby = {0},
  pages = {130-140},
  booktitle = {Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings},
  editor = {Jens Petersen and Raúl San José Estépar and Alexander Schmidt-Richberg and Sarah E. Gerard and Bianca Lassen-Schmidt and Colin Jacobs and Reinhard Beichel and Kensaku Mori},
  volume = {12502},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-62469-9},
}