SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors

Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors. In Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li 0001, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII. Volume 13438 of Lecture Notes in Computer Science, pages 320-329, Springer, 2022. [doi]

@inproceedings{FazekasALRMSB22,
  title = {SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors},
  author = {Botond Fazekas and Guilherme Aresta and Dmitry A. Lachinov and Sophie Riedl and Julia Mai and Ursula Schmidt-Erfurth and Hrvoje Bogunovic},
  year = {2022},
  doi = {10.1007/978-3-031-16452-1_31},
  url = {https://doi.org/10.1007/978-3-031-16452-1_31},
  researchr = {https://researchr.org/publication/FazekasALRMSB22},
  cites = {0},
  citedby = {0},
  pages = {320-329},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII},
  editor = {Linwei Wang and Qi Dou and P. Thomas Fletcher and Stefanie Speidel and Shuo Li 0001},
  volume = {13438},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-16452-1},
}