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@INPROCEEDINGS{Amiot_CBMS2023_2023,
         author = {Amiot, Victor and Jimenez-del-Toro, Oscar and Eyraud, Pauline and Guex-Crosier, Yan and Bergin, Ciara and Anjos, Andr{\'{e}} and Hoogewoud, Florence and Tomasoni, Mattia},
       keywords = {automatic grading, deep learning, fluorescein angiography, real-world data, retinal vasculitis, Uveitis},
       projects = {CAD4IED},
          month = jun,
          title = {Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings},
        journal = {2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
      booktitle = {2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila, Italy, 2023},
           year = {2023},
          pages = {689-693},
            url = {https://ieeexplore.ieee.org/abstract/document/10178865},
            doi = {10.1109/CBMS58004.2023.00301}
}