Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation

Jialei Chen, Yujia Xie, Kan (Kevin) Wang, Zih Huei Wang, Geet Lahoti, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian. Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation. In Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I. Volume 11070 of Lecture Notes in Computer Science, pages 537-545, Springer, 2018. [doi]

@inproceedings{ChenXWWLZVWQ18,
  title = {Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation},
  author = {Jialei Chen and Yujia Xie and Kan (Kevin) Wang and Zih Huei Wang and Geet Lahoti and Chuck Zhang and Mani A. Vannan and Ben Wang and Zhen Qian},
  year = {2018},
  doi = {10.1007/978-3-030-00928-1_61},
  url = {https://doi.org/10.1007/978-3-030-00928-1_61},
  researchr = {https://researchr.org/publication/ChenXWWLZVWQ18},
  cites = {0},
  citedby = {0},
  pages = {537-545},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I},
  editor = {Alejandro F. Frangi and Julia A. Schnabel and Christos Davatzikos and Carlos Alberola-López and Gabor Fichtinger},
  volume = {11070},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00928-1},
}