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Philip J. Rosenfeld
Researcher at University of Miami
Publications - 358
Citations - 32577
Philip J. Rosenfeld is an academic researcher from University of Miami. The author has contributed to research in topics: Macular degeneration & Optical coherence tomography. The author has an hindex of 77, co-authored 325 publications receiving 28506 citations. Previous affiliations of Philip J. Rosenfeld include Massachusetts Eye and Ear Infirmary & Johns Hopkins University School of Medicine.
Papers
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Journal ArticleDOI
Prophylaxis for endophthalmitis following intravitreal injection: antisepsis and antibiotics.
TL;DR: Wearing surgical masks or minimizing talking while preparing and administering intravitreal injections and the use of antisepsis and antibiotics are recommended.
Journal ArticleDOI
Quantitative changes in retinal pigment epithelial detachments as a predictor for retreatment with anti-VEGF therapy.
Fernando M. Penha,Giovanni Gregori,Carlos Alexandre de Amorim Garcia Filho,Zohar Yehoshua,William J. Feuer,Philip J. Rosenfeld +5 more
TL;DR: Quantitation of the change in the PED volume and area may be useful in determining when to retreat eyes undergoing SD OCT–guided as-needed anti–vascular endothelial growth factor therapy.
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Characterizing New-Onset Exudation in the Randomized Phase 2 FILLY Trial of Complement Inhibitor Pegcetacoplan for Geographic Atrophy.
Charles C. Wykoff,Philip J. Rosenfeld,Nadia K Waheed,Rishi P Singh,Nick Ronca,Jason S. Slakter,Giovanni Staurenghi,Jordi Monés,Caroline R. Baumal,Namrata Saroj,Ravi Metlapally,Ramiro Ribeiro +11 more
TL;DR: In this article, the authors evaluated clinical characteristics of eyes in which investigator-determined new-onset exudative age-related macular degeneration (eAMD) developed during the FILLY trial.
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Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers.
Imon Banerjee,Luis de Sisternes,Joelle A. Hallak,Theodore Leng,Aaron Osborne,Philip J. Rosenfeld,Giovanni Gregori,Mary K Durbin,Daniel L. Rubin +8 more
TL;DR: A hybrid sequential prediction model called “Deep Sequence”, integrating radiomics-engineered imaging features, demographic, and visual factors, with a recursive neural network (RNN) model in the same platform to predict the risk of exudation within a future time-frame in non-exudative AMD eyes is proposed.
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En Face Optical Coherence Tomography Imaging for the Detection of Nascent Geographic Atrophy
TL;DR: En face OCT imaging appeared to be as useful as routine B-scan imaging for identifying areas suspicious for nGA in this population of eyes with intermediate age-related macular degeneration from the COMPLETE Study.