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Renaud Duval

As seen in: Nature, British Journal of Ophthalmology

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Articles

Retinal lesion annotation on fundus imaging: an interobserver variability study

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By Gabriel Lepetit-Aimon, Marie Boucher, Renaud Duval, Michael H. Brent, Frédéric Lesage, Farida Cheriet, Clément Playout
| Nature Verified
Abstract Accurate detection and segmentation of retinal lesions in fundus photographs is essential for diagnosing diabetic retinopathy (DR) and for developing reliable machine learning models for this purpose. However, the reliability of manual annotation of retinal lesions by clinical experts has yet to be evaluated.
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Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study

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By Frank G. Holz, Francesco Bandello, Renaud Duval, Rodrigo Abreu-Gonzalez
| British Journal of Ophthalmology
Study design RAZORBILL (Title: A non-interventional study to assess the influence of automated optical coherence tomography (OCT) image enrichment with segmentation information on disease activity assessment in patients treated with licensed anti-VEGF injections; clinicaltrials.gov identifier NCT04662944) is an observational, multicentrer, multinational, open-label study designed with the objective to primarily assess the influence of automated 3D OCT scan enrichment with segmentation...
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Development and ex-vivo validation of 36G polyimide cannulas integrating a guiding miniaturized OCT probe for robotic assisted subretinal injections

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By Renaud Duval, Alexandre Abid, Christos Boutopoulos
| osapublishing.org
S. L. Charreyron, Q. Boehler, A. N. Danun, A. Mesot, M. Becker, and B. J. Nelson, “A magnetically navigated microcannula for subretinal injections,” IEEE Trans. Biomed. Eng. 68(1), 119–129 (2021). [Crossref] J. Im and C. Song, “Oblique injection depth correction by a two parallel OCT sensor guided handheld SMART injector,” Biomed. Opt. Express 12(2), 926 (2021). [Crossref] M. Sommersperger, J. Weiss, M. Ali Nasseri, P. Gehlbach, I. Iordachita, and N.
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