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Ali Erginay

Researcher at University of Paris

Publications -  119
Citations -  9777

Ali Erginay is an academic researcher from University of Paris. The author has contributed to research in topics: Diabetic retinopathy & Macular edema. The author has an hindex of 41, co-authored 117 publications receiving 8384 citations. Previous affiliations of Ali Erginay include Paris Diderot University.

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A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina

TL;DR: In the framework of computer assisted diagnosis of diabetic retinopathy, a new algorithm for detection of exudates is presented and discussed, which has been tested on a small image data base and compared with the performance of a human grader.
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Feedback on a publicly distributed image database: the messidor database

TL;DR: The feedback on the Messidor database, after more than 6 years of diffusion, is analyzed and the real interest and benefit of the research community is not easy to quantify.
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Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.

TL;DR: A deep-learning enhanced algorithm for the automated detection of DR, achieves significantly better performance than a previously reported, otherwise essentially identical, algorithm that does not employ deep learning.
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Macular hole formation: new data provided by optical coherence tomography.

TL;DR: In fellow eyes of eyes with macular holes posterior hyaloid detachment begins around the macula, but the hyaloids remains adherent to the foveolar center, indicating the action of anteroposterior forces.
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Intravitreal triamcinolone acetonide for diabetic diffuse macular edema: preliminary results of a prospective controlled trial.

TL;DR: In this article, the authors evaluated the efficacy and safety of triamcinolone acetonide for refractory diffuse diabetic macular edema and showed that it effectively reduces macular thickness.