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Valentin Aranha dos Santos

Researcher at Medical University of Vienna

Publications -  28
Citations -  859

Valentin Aranha dos Santos is an academic researcher from Medical University of Vienna. The author has contributed to research in topics: Optical coherence tomography & Keratoconus. The author has an hindex of 12, co-authored 26 publications receiving 615 citations. Previous affiliations of Valentin Aranha dos Santos include University of Vienna & Vienna University of Technology.

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Anterior segment optical coherence tomography.

TL;DR: An overview of anterior segment OCT can be found in this paper, where the authors summarize the historical development of OCT and provide an update on the research and clinical applications of imaging the ocular surface, cornea, anterior chamber structures, aqueous outflow system, and most recently anterior segment vessels.
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CorneaNet: fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning.

TL;DR: The results show that deep learning algorithms can be used for OCT image segmentation and could be applied in various clinical settings and in particular, CorneaNet could be use for early detection of keratoconus and more generally to study other diseases altering corneal morphology.
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Ultrahigh-resolution OCT imaging of the human cornea.

TL;DR: The results and experience indicate that UHR-OCT of the cornea is a promising technique for the use in clinical practice, but can also help to gain novel insight in the physiology and pathophysiology of the human cornea.
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Tear film thickness after treatment with artificial tears in patients with moderate dry eye disease.

TL;DR: It is indicated that single instillation of TH-SH and HA eye drops increases TFT in patients with dry eye disease, and the data also indicate longer corneal residence of the TH-containing eye drops.
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In vivo tear film thickness measurement and tear film dynamics visualization using spectral domain optical coherence tomography.

TL;DR: A new non-invasive fully automated approach to measure tear film thickness based on spectral domain optical coherence tomography and on an efficient delay estimator is proposed that could be used in clinical setting to study patients with dry eye disease and monitor their treatments.