End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging

David Romo-Bucheli, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging. IEEE Transactions on Information Technology in Biomedicine, 24(12):3456-3465, 2020. [doi]

@article{Romo-BucheliSB20,
  title = {End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging},
  author = {David Romo-Bucheli and Ursula Schmidt-Erfurth and Hrvoje Bogunovic},
  year = {2020},
  doi = {10.1109/JBHI.2020.3000136},
  url = {https://doi.org/10.1109/JBHI.2020.3000136},
  researchr = {https://researchr.org/publication/Romo-BucheliSB20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Technology in Biomedicine},
  volume = {24},
  number = {12},
  pages = {3456-3465},
}