DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

Bo Zhou 0009, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka. DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023. pages 4955-4964, IEEE, 2023. [doi]

@inproceedings{ZhouDSSLDS23,
  title = {DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction},
  author = {Bo Zhou 0009 and Neel Dey and Jo Schlemper and Seyed Sadegh Mohseni Salehi and Chi Liu and James S. Duncan and Michal Sofka},
  year = {2023},
  doi = {10.1109/WACV56688.2023.00494},
  url = {https://doi.org/10.1109/WACV56688.2023.00494},
  researchr = {https://researchr.org/publication/ZhouDSSLDS23},
  cites = {0},
  citedby = {0},
  pages = {4955-4964},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-9346-8},
}