On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool

Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi. On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. In Michael Felsberg, Per-Erik Forssén, Ida-Maria Sintorn, Jonas Unger, editors, Image Analysis - 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11-13, 2019, Proceedings. Volume 11482 of Lecture Notes in Computer Science, pages 439-451, Springer, 2019. [doi]

@inproceedings{MajtnerBLSBN19,
  title = {On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool},
  author = {Tomás Majtner and Buda Bajic and Joakim Lindblad and Natasa Sladoje and Victoria Blanes-Vidal and Esmaeil S. Nadimi},
  year = {2019},
  doi = {10.1007/978-3-030-20205-7_36},
  url = {https://doi.org/10.1007/978-3-030-20205-7_36},
  researchr = {https://researchr.org/publication/MajtnerBLSBN19},
  cites = {0},
  citedby = {0},
  pages = {439-451},
  booktitle = {Image Analysis - 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11-13, 2019, Proceedings},
  editor = {Michael Felsberg and Per-Erik Forssén and Ida-Maria Sintorn and Jonas Unger},
  volume = {11482},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-20205-7},
}