156 related articles for article (PubMed ID: 38133514)
21. Glaucomatous optic neuropathy evaluation project: a standardized internet system for assessing skills in optic disc examination.
Kong YX; Coote MA; O'Neill EC; Gurria LU; Xie J; Garway-Heath D; Medeiros FA; Crowston JG
Clin Exp Ophthalmol; 2011; 39(4):308-17. PubMed ID: 21070546
[TBL] [Abstract][Full Text] [Related]
22. Automated vertical cup-to-disc ratio determination from fundus images for glaucoma detection.
Gao XR; Wu F; Yuhas PT; Rasel RK; Chiariglione M
Sci Rep; 2024 Feb; 14(1):4494. PubMed ID: 38396048
[TBL] [Abstract][Full Text] [Related]
23. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
[TBL] [Abstract][Full Text] [Related]
24. Comparing multifocal VEP and standard automated perimetry in high-risk ocular hypertension and early glaucoma.
Fortune B; Demirel S; Zhang X; Hood DC; Patterson E; Jamil A; Mansberger SL; Cioffi GA; Johnson CA
Invest Ophthalmol Vis Sci; 2007 Mar; 48(3):1173-80. PubMed ID: 17325161
[TBL] [Abstract][Full Text] [Related]
25. Detection of psychophysical and structural injury in eyes with glaucomatous optic neuropathy and normal standard automated perimetry.
Bagga H; Feuer WJ; Greenfield DS
Arch Ophthalmol; 2006 Feb; 124(2):169-76. PubMed ID: 16476885
[TBL] [Abstract][Full Text] [Related]
26. Glaucomatous optic neuropathy evaluation project: factors associated with underestimation of glaucoma likelihood.
O'Neill EC; Gurria LU; Pandav SS; Kong YX; Brennan JF; Xie J; Coote MA; Crowston JG
JAMA Ophthalmol; 2014 May; 132(5):560-6. PubMed ID: 24699817
[TBL] [Abstract][Full Text] [Related]
27. Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.
Rogers TW; Jaccard N; Carbonaro F; Lemij HG; Vermeer KA; Reus NJ; Trikha S
Eye (Lond); 2019 Nov; 33(11):1791-1797. PubMed ID: 31267086
[TBL] [Abstract][Full Text] [Related]
28. Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma.
Wang X; Mudie LI; Baskaran M; Cheng CY; Alward WL; Friedman DS; Brady CJ
J Glaucoma; 2017 Jun; 26(6):505-510. PubMed ID: 28319525
[TBL] [Abstract][Full Text] [Related]
29. Agreement in assessing cup-to-disc ratio measurement among stereoscopic optic nerve head photographs, HRT II, and Stratus OCT.
Arthur SN; Aldridge AJ; De León-Ortega J; McGwin G; Xie A; Girkin CA
J Glaucoma; 2006 Jun; 15(3):183-9. PubMed ID: 16778638
[TBL] [Abstract][Full Text] [Related]
30. Association between metabolic risk factors and optic disc cupping identified by deep learning method.
Shin J; Kang MS; Park K; Lee JS
PLoS One; 2020; 15(9):e0239071. PubMed ID: 32941514
[TBL] [Abstract][Full Text] [Related]
31. Fred Hollows lecture: digital screening for eye disease.
Constable IJ; Yogesan K; Eikelboom R; Barry C; Cuypers M
Clin Exp Ophthalmol; 2000 Jun; 28(3):129-32. PubMed ID: 10981779
[TBL] [Abstract][Full Text] [Related]
32. Generation of Conventional
Choi HJ; Seo M; Kim A; Park SH
Medicina (Kaunas); 2023 Jul; 59(7):. PubMed ID: 37512092
[No Abstract] [Full Text] [Related]
33. Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images.
Mvoulana A; Kachouri R; Akil M
Comput Med Imaging Graph; 2019 Oct; 77():101643. PubMed ID: 31541937
[TBL] [Abstract][Full Text] [Related]
34. Generation of
Ghafari A; Sheikhzadeh P; Seyyedi N; Abbasi M; Farzenefar S; Yousefirizi F; Ay MR; Rahmim A
Phys Med Biol; 2022 Oct; 67(21):. PubMed ID: 36162408
[No Abstract] [Full Text] [Related]
35. Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss.
Zhang L; Zhang J
PeerJ Comput Sci; 2022; 8():e873. PubMed ID: 35494868
[TBL] [Abstract][Full Text] [Related]
36. Motion artifact removal in coronary CT angiography based on generative adversarial networks.
Zhang L; Jiang B; Chen Q; Wang L; Zhao K; Zhang Y; Vliegenthart R; Xie X
Eur Radiol; 2023 Jan; 33(1):43-53. PubMed ID: 35829786
[TBL] [Abstract][Full Text] [Related]
37. Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint.
Chen J; Zhang Z; Xie X; Li Y; Xu T; Ma K; Zheng Y
IEEE Trans Med Imaging; 2022 Mar; 41(3):595-607. PubMed ID: 34606453
[TBL] [Abstract][Full Text] [Related]
38. Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN.
Liang Z; Huang JX; Antani S
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559994
[TBL] [Abstract][Full Text] [Related]
39. Optic disc and optic cup segmentation based on anatomy guided cascade network.
Bian X; Luo X; Wang C; Liu W; Lin X
Comput Methods Programs Biomed; 2020 Dec; 197():105717. PubMed ID: 32957060
[TBL] [Abstract][Full Text] [Related]
40. Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features.
Abràmoff MD; Alward WL; Greenlee EC; Shuba L; Kim CY; Fingert JH; Kwon YH
Invest Ophthalmol Vis Sci; 2007 Apr; 48(4):1665-73. PubMed ID: 17389498
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
