Development of a code-free machine learning model for the classification of cataract surgery phases von Touma, Samir, Antaki, Fares, Duval, Renaud

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Evaluating the Performance of ChatGPT in Ophthalmology von Antaki, Fares, Touma, Samir, Milad, Daniel, El-Khoury, Jonathan, Duval, Renaud

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A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images von Playout, Clément, Duval, Renaud, Cheriet, Farida

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Non-invasive in vivo measurement of ocular rigidity: Clinical validation, repeatability and method improvement von Sayah, Diane N., Mazzaferri, Javier, Ghesquière, Pierre, Duval, Renaud, Rezende, Flavio, Costantino, Santiago, Lesk, Mark R.

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MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy von Lepetit-Aimon, Gabriel, Playout, Clément, Boucher, Marie Carole, Duval, Renaud, Brent, Michael H., Cheriet, Farida

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Comparing code-free deep learning models to expert-designed models for detecting retinal diseases from optical coherence tomography von Touma, Samir, Hammou, Badr Ait, Antaki, Fares, Boucher, Marie Carole, Duval, Renaud

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Risk factors for epiretinal membrane formation and peeling following pars plana vitrectomy for primary rhegmatogenous retinal detachment, an OCT guided analysis von Szigiato, Andrei-Alexandru, Antaki, Fares, Javidi, Simon, Touma, Samir, Duval, Renaud, Cordahi, Ghassan, Olivier, Sebastien, Rezende, Flavio A.

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A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images von Playout, Clement, Duval, Renaud, Cheriet, Farida

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Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of Its Successes and Shortcomings von Antaki, Fares, Touma, Samir, Milad, Daniel, El-Khoury, Jonathan, Duval, Renaud

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Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images von Antaki, Fares, Coussa, Razek Georges, Kahwati, Ghofril, Hammamji, Karim, Sebag, Mikael, Duval, Renaud

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Primary rhegmatogenous retinal detachment with inferior retinal breaks postoperative prone positioning results: 1 day versus 7 days von Ajlan, Radwan, Isenberg, Jordan, Cordahi, Ghassan, Duval, Renaud, Olivier, Sébastien, Rezende, Flavio

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Focused Attention in Transformers for interpretable classification of retinal images von Playout, Clément, Duval, Renaud, Boucher, Marie Carole, Cheriet, Farida

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Development and ex-vivo validation of 36G polyimide cannulas integrating a guiding miniaturized OCT probe for robotic assisted subretinal injections von Abid, Alexandre, Duval, Renaud, Boutopoulos, Christos

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MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification von Ait Hammou, Badr, Antaki, Fares, Boucher, Marie-Carole, Duval, Renaud

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Deep learning for ultra-widefield imaging: a scoping review von Bhambra, Nishaant, Antaki, Fares, Malt, Farida El, Xu, AnQi, Duval, Renaud

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Development and deployment of a smartphone application for diagnosing trachoma: Leveraging code-free deep learning and edge artificial intelligence von Milad, Daniel, Antaki, Fares, Robert, Marie-Claude, Duval, Renaud

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The role of artificial intelligence in macular hole management: A scoping review von Mikhail, David, Milad, Daniel, Antaki, Fares, Hammamji, Karim, Qian, Cynthia X., Rezende, Flavio A., Duval, Renaud

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Predictive modeling of proliferative vitreoretinopathy using automated machine learning by ophthalmologists without coding experience von Antaki, Fares, Kahwati, Ghofril, Sebag, Julia, Coussa, Razek Georges, Fanous, Anthony, Duval, Renaud, Sebag, Mikael

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Acquired myelinated nerve fibers in association with optic disk drusen von Duval, Renaud, MD, Hammamji, Karim, MD, Aroichane, Maryam, MD, Michaud, Jacques L., MD, Ospina, Luis H., MD

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Video1.mp4 von Abid, Alexandre, Duval, Renaud, Boutopoulos, Christos

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