Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ting, D. S. W."'
Autor:
Cicinelli, M. V., Rosenblatt, A., Grosso, D., Zollet, P., Capone, L., Rabiolo, A., Lattanzio, R., Loewenstein, A., Bandello, F., Nassisi, M., Tan, A., Reynolds, R., Singh, S. R., Vaezi, K. P., Giocanti-Aurégan, A., Weinberg, T., Faes, L., Schwartz, R., Reyes, D. Y. A., Savastano, A., Touhami, S., Garcia, H. R., Pohlmann, D., Plant, A., Ventura, C. V., Chatziralli, I., Phasukkijwatana, N., Ruiz-Medrano, J., Yuan, M., Yılmaz, İ., Vogt, D., Ting, D. S. W., Mustapha, M., Mendaro, M.
Publikováno v:
Eye (Lond)
BACKGROUND/OBJECTIVES: To investigate if the visual and anatomic response to the first dexamethasone implant (DEX) predicts the 12-month clinical outcome after shifting to fluocinolone acetonide (FAc) implant in patients with diabetic macular oedema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b5788cd0cf19ece5d77cd762ff7baf
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099977516&doi=10.1038/s41433-020-01373-1&partnerID=40&md5=9c7ba461b3abfc1fadac86b2a3be37fc
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099977516&doi=10.1038/s41433-020-01373-1&partnerID=40&md5=9c7ba461b3abfc1fadac86b2a3be37fc
Autor:
Vasseneix C., Najjar R. P., Xu X., Tang Z., Loo J. L., Singhal S., Tow S., Milea L., Ting D. S. W., Liu Y., Wong T. Y., Newman N. J., Biousse V., Milea D, BONSAI Group, Carelli V.
Publikováno v:
Neurology, Vol. 97, No 4 (2021) pp. e369-e377
Neurology
Vasseneix, C, Najjar, R P, Xu, X, Tang, Z, Loo, J L, Singhal, S, Tow, S, Milea, L, Ting, D S W, Liu, Y, Wong, T Y, Newman, N J, Biousse, V, Milea, D & BONSAI Group 2021, ' Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs ', Neurology, vol. 97, no. 4, pp. e369-e377 . https://doi.org/10.1212/WNL.0000000000012226
Neurology
Vasseneix, C, Najjar, R P, Xu, X, Tang, Z, Loo, J L, Singhal, S, Tow, S, Milea, L, Ting, D S W, Liu, Y, Wong, T Y, Newman, N J, Biousse, V, Milea, D & BONSAI Group 2021, ' Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs ', Neurology, vol. 97, no. 4, pp. e369-e377 . https://doi.org/10.1212/WNL.0000000000012226
ObjectiveTo evaluate the performance of a deep learning system (DLS) in classifying the severity of papilledema associated with increased intracranial pressure on standard retinal fundus photographs.MethodsA DLS was trained to automatically classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c837a104eee3dfd0a2b31df27ddb7f0
https://archive-ouverte.unige.ch/unige:152680
https://archive-ouverte.unige.ch/unige:152680
Publikováno v:
Eye. Jul2013, Vol. 27 Issue 7, p848-853. 6p.
Publikováno v:
Eye. Dec2012, Vol. 26 Issue 12, p1511-1516. 6p.
Akademický článek
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