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

COMMENTED

Further Publications

Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure

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

Br J Ophthalmol

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

Association of Baseline Anterior Segment Parameters With the Development of Incident Gonioscopic Angle Closure

JAMA Ophthalmol.

Nongpiur ME, Aboobakar IF, Baskaran M, Narayanaswamy A, Sakata LM, Wu R5, Atalay E, Friedman DS, Aung T

doi: 10.1001/

Further Publications

Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning

BMC Ophthalmol

Qian Z, Xie X, Yang J, Ye H, Wang Z, Chen J, Liu H, Liang J, Jiang L, Zheng C, Chen X

doi: 10.1186/s12886-021-02104-0

Anterior Segment Imaging for Angle Closure

Am J Ophthalmol.

Chansangpetch S, Rojanapongpun P, Lin SC

doi: 10.1016/

Surgery and Intervention

Predicting the outcome of laser peripheral iridotomy for primary angle closure suspect eyes using anterior segment optical coherence tomography

Acta Ophthalmol.

Koh V, Keshtkaran MR, Hernstadt D, Aquino MCD, Chew PT, Sng C

doi: 10.1111/aos.13822.

Blindness and Vision Impairment

Ocular Biometric Risk Factors for Progression of Primary Angle Closure Disease: The Zhongshan Angle Closure Prevention Trial

Ophthalmology

Xu BY, Friedman DS, Foster PJ, Jiang Y, Porporato N, Pardeshi AA, Jiang Y, Munoz B, Aung T, He M

doi: 10.1016/j.ophtha.2021.10.003

Cornea and Corneal Diseases

Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

Br J Ophthalmol

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

doi: 10.1136/bjophthalmol-2021-318866

Macular DiseasesRetinal Diseases

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

JAMA.

Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR

doi: 10.1001/jama.2016.17216.

COMMENTED

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