Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski. Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks. In Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos, editors, Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Volume 11037 of Lecture Notes in Computer Science, pages 1-11, Springer, 2018. [doi]

@inproceedings{ShinTRSSGAM18,
  title = {Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks},
  author = {Hoo-Chang Shin and Neil A. Tenenholtz and Jameson K. Rogers and Christopher G. Schwarz and Matthew L. Senjem and Jeffrey L. Gunter and Katherine P. Andriole and Mark Michalski},
  year = {2018},
  doi = {10.1007/978-3-030-00536-8_1},
  url = {https://doi.org/10.1007/978-3-030-00536-8_1},
  researchr = {https://researchr.org/publication/ShinTRSSGAM18},
  cites = {0},
  citedby = {0},
  pages = {1-11},
  booktitle = {Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings},
  editor = {Ali Gooya and Orcun Goksel and Ipek Oguz and Ninon Burgos},
  volume = {11037},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00536-8},
}