3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT

Wenke Karbole, Stefan B. Ploner, Jungeun Won, Anna Marmalidou, Hiroyuki Takahashi, Nadia K. Waheed, James G. Fujimoto, Andreas K. Maier. 3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT. In Andreas Maier 0001, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024. Informatik Aktuell, pages 350-355, Springer, 2024. [doi]

@inproceedings{KarbolePWMTWFM24,
  title = {3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT},
  author = {Wenke Karbole and Stefan B. Ploner and Jungeun Won and Anna Marmalidou and Hiroyuki Takahashi and Nadia K. Waheed and James G. Fujimoto and Andreas K. Maier},
  year = {2024},
  doi = {10.1007/978-3-658-44037-4_90},
  url = {https://doi.org/10.1007/978-3-658-44037-4_90},
  researchr = {https://researchr.org/publication/KarbolePWMTWFM24},
  cites = {0},
  citedby = {0},
  pages = {350-355},
  booktitle = {Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024},
  editor = {Andreas Maier 0001 and Thomas M. Deserno and Heinz Handels and Klaus H. Maier-Hein and Christoph Palm and Thomas Tolxdorff},
  series = {Informatik Aktuell},
  publisher = {Springer},
  isbn = {978-3-658-44037-4},
}