CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels

Da-in Eun, Ilsang Woo, BeomHee Park, Namkug Kim, Sang Min Lee, Joon Beom Seo. CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels. Computer Methods and Programs in Biomedicine, 196:105615, 2020. [doi]

@article{EunWPKLS20,
  title = {CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels},
  author = {Da-in Eun and Ilsang Woo and BeomHee Park and Namkug Kim and Sang Min Lee and Joon Beom Seo},
  year = {2020},
  doi = {10.1016/j.cmpb.2020.105615},
  url = {https://doi.org/10.1016/j.cmpb.2020.105615},
  researchr = {https://researchr.org/publication/EunWPKLS20},
  cites = {0},
  citedby = {0},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {196},
  pages = {105615},
}