SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset

Tong Zheng 0001, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori. SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset. Int. J. Computer Assisted Radiology and Surgery, 19(3):493-506, March 2024. [doi]

@article{ZhengOHNMTNOM24,
  title = {SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset},
  author = {Tong Zheng 0001 and Hirohisa Oda and Yuichiro Hayashi and Shota Nakamura and Masaki Mori and Hirotsugu Takabatake and Hiroshi Natori and Masahiro Oda and Kensaku Mori},
  year = {2024},
  month = {March},
  doi = {10.1007/s11548-023-03037-3},
  url = {https://doi.org/10.1007/s11548-023-03037-3},
  researchr = {https://researchr.org/publication/ZhengOHNMTNOM24},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computer Assisted Radiology and Surgery},
  volume = {19},
  number = {3},
  pages = {493-506},
}