@inproceedings{son2021synthesis,
  title={Synthesis of Diabetic Retina Fundus Images Using Semantic Label Generation},
  author={Son, Joon-Ho and Alansary, Amir and Rueckert, Daniel and Kainz, Bernhard and Hou, Benjamin},
  booktitle={ Medical Imaging with Deep Learning},
  year={2021},
  organization={L{\"u}beck},
  url = {https://openreview.net/pdf?id=wiKDehhdnz},
  code = {https://github.com/semantic-retina/semantic-retina-generation},
  abstract = {Automatic segmentation of retinal lesions remains challenging, in part because accurate lesion-segmentation datasets are scarce. This paper proposes a two-stage process for generating photorealistic fundus images conditioned on synthetic semantic labels, and demonstrates its potential for downstream applications including diabetic-retinopathy grading, dataset balancing and training.},
}
