205 related articles for article (PubMed ID: 31419240)
1. Validation of automated artificial intelligence segmentation of optical coherence tomography images.
Maloca PM; Lee AY; de Carvalho ER; Okada M; Fasler K; Leung I; Hörmann B; Kaiser P; Suter S; Hasler PW; Zarranz-Ventura J; Egan C; Heeren TFC; Balaskas K; Tufail A; Scholl HPN
PLoS One; 2019; 14(8):e0220063. PubMed ID: 31419240
[TBL] [Abstract][Full Text] [Related]
2. Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence.
Maloca PM; Müller PL; Lee AY; Tufail A; Balaskas K; Niklaus S; Kaiser P; Suter S; Zarranz-Ventura J; Egan C; Scholl HPN; Schnitzer TK; Singer T; Hasler PW; Denk N
Commun Biol; 2021 Feb; 4(1):170. PubMed ID: 33547415
[TBL] [Abstract][Full Text] [Related]
3. REAL-TIME FULL-DEPTH VISUALIZATION OF POSTERIOR OCULAR STRUCTURES: Comparison Between Full-Depth Imaging Spectral Domain Optical Coherence Tomography and Swept-Source Optical Coherence Tomography.
Barteselli G; Bartsch DU; Weinreb RN; Camacho N; Nezgoda JT; Marvasti AH; Freeman WR
Retina; 2016 Jun; 36(6):1153-61. PubMed ID: 26562563
[TBL] [Abstract][Full Text] [Related]
4. Choroid Segmentation of Retinal OCT Images Based on CNN Classifier and
He F; Chun RKM; Qiu Z; Yu S; Shi Y; To CH; Chen X
Comput Math Methods Med; 2021; 2021():8882801. PubMed ID: 33510811
[TBL] [Abstract][Full Text] [Related]
5. A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP).
Wang YZ; Wu W; Birch DG
Transl Vis Sci Technol; 2021 Nov; 10(13):9. PubMed ID: 34751740
[TBL] [Abstract][Full Text] [Related]
6. Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation.
Philip AM; Gerendas BS; Zhang L; Faatz H; Podkowinski D; Bogunovic H; Abramoff MD; Hagmann M; Leitner R; Simader C; Sonka M; Waldstein SM; Schmidt-Erfurth U
Br J Ophthalmol; 2016 Oct; 100(10):1372-6. PubMed ID: 26769670
[TBL] [Abstract][Full Text] [Related]
7. Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images.
Choy KC; Li G; Stamer WD; Farsiu S
Exp Eye Res; 2022 Jan; 214():108844. PubMed ID: 34793828
[TBL] [Abstract][Full Text] [Related]
8. Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks.
Zhang T; Wei Q; Li Z; Meng W; Zhang M; Zhang Z
Comput Methods Programs Biomed; 2023 Oct; 240():107632. PubMed ID: 37329802
[TBL] [Abstract][Full Text] [Related]
9. Detection of Nonexudative Macular Neovascularization on Structural OCT Images Using Vision Transformers.
Kihara Y; Shen M; Shi Y; Jiang X; Wang L; Laiginhas R; Lyu C; Yang J; Liu J; Morin R; Lu R; Fujiyoshi H; Feuer WJ; Gregori G; Rosenfeld PJ; Lee AY
Ophthalmol Sci; 2022 Dec; 2(4):100197. PubMed ID: 36531577
[TBL] [Abstract][Full Text] [Related]
10. Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study.
Zhang G; Fu DJ; Liefers B; Faes L; Glinton S; Wagner S; Struyven R; Pontikos N; Keane PA; Balaskas K
Lancet Digit Health; 2021 Oct; 3(10):e665-e675. PubMed ID: 34509423
[TBL] [Abstract][Full Text] [Related]
11. Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning.
Kugelman J; Alonso-Caneiro D; Chen Y; Arunachalam S; Huang D; Vallis N; Collins MJ; Chen FK
Transl Vis Sci Technol; 2020 Oct; 9(11):12. PubMed ID: 33133774
[TBL] [Abstract][Full Text] [Related]
12. Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography.
Derradji Y; Mosinska A; Apostolopoulos S; Ciller C; De Zanet S; Mantel I
Sci Rep; 2021 Nov; 11(1):21893. PubMed ID: 34751189
[TBL] [Abstract][Full Text] [Related]
13. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
[TBL] [Abstract][Full Text] [Related]
14. SINGLE ACQUISITION OF THE VITREOUS, RETINA AND CHOROID WITH SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY IN ACUTE TOXOPLASMOSIS.
Chen KC; Jung JJ; Engelbert M
Retin Cases Brief Rep; 2016; 10(3):217-20. PubMed ID: 26510002
[TBL] [Abstract][Full Text] [Related]
15. Inter-device size variation of small choroidal nevi measured using stereographic projection ultra-widefield imaging and optical coherence tomography.
Maloca P; Gyger C; Schoetzau A; Hasler PW
Graefes Arch Clin Exp Ophthalmol; 2016 Apr; 254(4):797-808. PubMed ID: 26537123
[TBL] [Abstract][Full Text] [Related]
16. Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations.
Wu Y; Olvera-Barrios A; Yanagihara R; Kung TH; Lu R; Leung I; Mishra AV; Nussinovitch H; Grimaldi G; Blazes M; Lee CS; Egan C; Tufail A; Lee AY
Ophthalmology; 2023 Feb; 130(2):213-222. PubMed ID: 36154868
[TBL] [Abstract][Full Text] [Related]
17. A Deep Learning Model for Automated Segmentation of Geographic Atrophy Imaged Using Swept-Source OCT.
Pramil V; de Sisternes L; Omlor L; Lewis W; Sheikh H; Chu Z; Manivannan N; Durbin M; Wang RK; Rosenfeld PJ; Shen M; Guymer R; Liang MC; Gregori G; Waheed NK
Ophthalmol Retina; 2023 Feb; 7(2):127-141. PubMed ID: 35970318
[TBL] [Abstract][Full Text] [Related]
18. A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
Chakravarty A; Sivaswamy J
Comput Methods Programs Biomed; 2018 Oct; 165():235-250. PubMed ID: 30337078
[TBL] [Abstract][Full Text] [Related]
19. Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study.
Xu BY; Chiang M; Pardeshi AA; Moghimi S; Varma R
Transl Vis Sci Technol; 2020 Mar; 9(2):18. PubMed ID: 32818079
[TBL] [Abstract][Full Text] [Related]
20. Kago-Eye2 software for semi-automated segmentation of subfoveal choroid of optical coherence tomographic images.
Sonoda S; Terasaki H; Kakiuchi N; Shiihara H; Sakoguchi T; Tomita M; Shinohara Y; Yamashita T; Uchino E; Sakamoto T
Jpn J Ophthalmol; 2019 Jan; 63(1):82-89. PubMed ID: 30357532
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
