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Fang X, Deshmukh M, Chee ML, Soh ZD, Teo ZL, Thakur S, Goh JHL, Liu YC, Husain R, Mehta J, Wong TY, Cheng CY, Rim TH, Tham YC

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Anterior segment biometric measurements explain misclassifications by a deep learning classifier for detecting gonioscopic angle closure

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doi: 10.1136/bjophthalmol-2021-319058

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Randhawa J, Chiang M, Porporato N, Pardeshi AA, Dredge J, Apolo Aroca G, Tun TA, Quah JH, Tan M, Higashita R, Aung T, Varma R, Xu BY

doi: 10.1136/bjophthalmol-2021-319470

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Glaucoma and Ocular Pressure

Predicting Glaucoma before Onset Using Deep Learning

★ 1 Recommended and commented by Prof. Dr emer. Josef Flammer, Faculty Member

Ophthalmol Glaucoma

Thakur A, Goldbaum M, Yousefi S

doi: 10.1016/j.ogla.2020.04.012

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Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration

JAMA Ophthalmol.

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doi: 10.1001/jamaophthalmol.

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Detection of oedema on optical coherence tomography images using deep learning model trained on noisy clinical data

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Glaucoma and Ocular Pressure

Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans

★ 1 Recommended by Prof. Dr emer. Josef Flammer, Faculty Member

★ 3 Recommended by Prof. Dr Ke Yao, Faculty Member

★ 3 Recommended and commented by Dr habil. Gábor Márk Somfai, PhD, Faculty Member

JAMA Ophthalmol.

Thompson AC, Jammal AA, Berchuck SI, Mariottoni EB, Medeiros FA

doi: 10.1001/jamaophthalmol.2019.5983.

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