A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging

Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer. A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging. In Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst, editors, Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Volume 143 of Proceedings of Machine Learning Research, pages 745-760, PMLR, 2021. [doi]

@inproceedings{TolleLS21,
  title = {A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging},
  author = {Malte Tölle and Max-Heinrich Laves and Alexander Schlaefer},
  year = {2021},
  url = {https://proceedings.mlr.press/v143/tolle21a.html},
  researchr = {https://researchr.org/publication/TolleLS21},
  cites = {0},
  citedby = {0},
  pages = {745-760},
  booktitle = {Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany},
  editor = {Mattias P. Heinrich and Qi Dou and Marleen de Bruijne and Jan Lellmann and Alexander Schlaefer and Floris Ernst},
  volume = {143},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}