FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis

Sourya Sengupta, Akshay Athwale, Tanmay Gulati, John S. Zelek, Vasudevan Lakshminarayanan. FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis. In Ivana Isgum, Bennett A. Landman, editors, Medical Imaging 2020: Image Processing, SPIE MEDICAL IMAGING, Houston, TX, USA, February 15-20, 2020. Volume 11313 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{SenguptaAGZL20,
  title = {FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis},
  author = {Sourya Sengupta and Akshay Athwale and Tanmay Gulati and John S. Zelek and Vasudevan Lakshminarayanan},
  year = {2020},
  doi = {10.1117/12.2549869},
  url = {https://doi.org/10.1117/12.2549869},
  researchr = {https://researchr.org/publication/SenguptaAGZL20},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2020: Image Processing, SPIE MEDICAL IMAGING, Houston, TX, USA, February 15-20, 2020},
  editor = {Ivana Isgum and Bennett A. Landman},
  volume = {11313},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510633933},
}