Dan Milea

Dan Milea

Affiliate Professor

Member of:

  • Ophthalmology


  1. 2020
  2. Published

    Artificial intelligence to detect papilledema from ocular fundus photographs

    Milea, D., Najjar, R. P., Zhubo, J., Ting, D., Vasseneix, C., Xu, X., Fard, M. A., Fonseca, P., Vanikieti, K., Lagrèze, W. A., La Morgia, C., Cheung, C. Y., Hamann, S., Chiquet, C., Sanda, N., Yang, H., Mejico, L. J., Rougier, M. B., Kho, R., Chau, T. T. H. & 14 others, Singhal, S., Gohier, P., Clermont-Vignal, C., Cheng, C. Y., Jonas, J. B., Yu-Wai-Man, P., Fraser, C. L., Chen, J. J., Ambika, S., Miller, N. R., Liu, Y., Newman, N. J., Wong, T. Y. & Biousse, V., 2020, In: New England Journal of Medicine. 382, 18, p. 1687-1695 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Optic Disc Classification by Deep Learning versus Expert Neuro-Ophthalmologists

    Biousse, V., Newman, N. J., Najjar, R. P., Vasseneix, C., Xu, X., Ting, D. S., Milea, L. B., Hwang, J. M., Kim, D. H., Yang, H. K., Hamann, S., Chen, J. J., Liu, Y., Wong, T. Y., Milea, D., Rondé-Courbis, B., Gohier, P., Miller, N., Padungkiatsagul, T., Poonyathalang, A. & 31 others, Suwan, Y., Vanikieti, K., Milea, L. B., Amore, G., Barboni, P., Carbonelli, M., Carelli, V., La Morgia, C., Romagnoli, M., Rougier, M. B., Ambika, S., Komma, S., Fonseca, P., Raimundo, M., Karlesand, I., Alexander Lagrèze, W., Sanda, N., Thumann, G., Aptel, F., Chiquet, C., Liu, K., Yang, H., Chan, C. K. M., Chan, N. C. Y., Cheung, C. Y., Chau Tran, T. H., Acheson, J., Habib, M. S., Jurkute, N., Yu-Wai-Man, P. & BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) Study Group, B. (. A. O. N. S. W. A. I. S. G., 2020, In: Annals of Neurology. 88, 4, p. 785-795 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 157002202