A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging

Salvatore Cuomo, Francesco Fato, Lorenzo Ugga, Gaia Spadarella, Renato Cuocolo, Fabio Giampaolo, Francesco Piccialli. A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging. In Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski, editors, Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part II. Volume 13827 of Lecture Notes in Computer Science, pages 115-126, Springer, 2022. [doi]

@inproceedings{CuomoFUSCGP22,
  title = {A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging},
  author = {Salvatore Cuomo and Francesco Fato and Lorenzo Ugga and Gaia Spadarella and Renato Cuocolo and Fabio Giampaolo and Francesco Piccialli},
  year = {2022},
  doi = {10.1007/978-3-031-30445-3_10},
  url = {https://doi.org/10.1007/978-3-031-30445-3_10},
  researchr = {https://researchr.org/publication/CuomoFUSCGP22},
  cites = {0},
  citedby = {0},
  pages = {115-126},
  booktitle = {Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part II},
  editor = {Roman Wyrzykowski and Jack J. Dongarra and Ewa Deelman and Konrad Karczewski},
  volume = {13827},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30445-3},
}