Pair-GAN: A Three-Validated Generative Model from Single Pairs of Biomedical and Ground Truth Images

Clara Brémond Martin, Huaqian Wu, Cédric Clouchoux, Kevin Bouaou. Pair-GAN: A Three-Validated Generative Model from Single Pairs of Biomedical and Ground Truth Images. In Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa, editors, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024. pages 37-52, SCITEPRESS, 2024. [doi]

@inproceedings{MartinWCB24,
  title = {Pair-GAN: A Three-Validated Generative Model from Single Pairs of Biomedical and Ground Truth Images},
  author = {Clara Brémond Martin and Huaqian Wu and Cédric Clouchoux and Kevin Bouaou},
  year = {2024},
  doi = {10.5220/0012318300003660},
  url = {https://doi.org/10.5220/0012318300003660},
  researchr = {https://researchr.org/publication/MartinWCB24},
  cites = {0},
  citedby = {0},
  pages = {37-52},
  booktitle = {Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024},
  editor = {Petia Radeva and Antonino Furnari and Kadi Bouatouch and A. Augusto de Sousa},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-679-8},
}