Atalie Thompson to Glaucoma, Open-Angle
This is a "connection" page, showing publications Atalie Thompson has written about Glaucoma, Open-Angle.
Connection Strength
2.536
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Thompson AC, Jammal AA, Berchuck SI, Mariottoni EB, Medeiros FA. Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans. JAMA Ophthalmol. 2020 04 01; 138(4):333-339.
Score: 0.707
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Thompson AC, Jammal AA, Medeiros FA. A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs. Am J Ophthalmol. 2019 05; 201:9-18.
Score: 0.651
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Medeiros FA, Jammal AA, Thompson AC. From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs. Ophthalmology. 2019 04; 126(4):513-521.
Score: 0.647
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Jammal AA, Berchuck SI, Thompson AC, Costa VP, Medeiros FA. The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma. Invest Ophthalmol Vis Sci. 2020 11 02; 61(13):8.
Score: 0.184
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Jammal AA, Ferreira BG, Zangalli CS, Vianna JR, Thompson AC, Artes PH, Costa VP, Reis ASC. Evaluation of contrast sensitivity in patients with advanced glaucoma: comparison of two tests. Br J Ophthalmol. 2020 10; 104(10):1418-1422.
Score: 0.174
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Jammal AA, Thompson AC, Mariottoni EB, Berchuck SI, Urata CN, Estrela T, Wakil SM, Costa VP, Medeiros FA. Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs. Am J Ophthalmol. 2020 03; 211:123-131.
Score: 0.172