Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

Bo Zhou, Yu-Jung Tsai, Chi Liu. Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Volume 12267 of Lecture Notes in Computer Science, pages 743-752, Springer, 2020. [doi]

@inproceedings{ZhouTL20-2,
  title = {Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning},
  author = {Bo Zhou and Yu-Jung Tsai and Chi Liu},
  year = {2020},
  doi = {10.1007/978-3-030-59728-3_72},
  url = {https://doi.org/10.1007/978-3-030-59728-3_72},
  researchr = {https://researchr.org/publication/ZhouTL20-2},
  cites = {0},
  citedby = {0},
  pages = {743-752},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII},
  editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
  volume = {12267},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-59728-3},
}