Search | TVST | ARVO Journals

Showing 1 – 20 of 51

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

Artificial Intelligence August 2024

Topographic Clinical Insights From Deep Learning–Based Geographic Atrophy Progression Prediction

PDF

Julia Cluceru; Neha Anegondi; Simon S. Gao; Aaron Y. Lee; Eleonora M. Lad; Usha Chakravarthy; Qi Yang; Verena Steffen; Michel Friesenhahn; Christina Rabe; Daniela Ferrara
TAGS: ablation, age-related macular degeneration, nonexudative, datasets, deep learning, masks, diagnostic imaging, growth rate, pixel, shape
Trans. Vis. Sci. Tech.. 2024; 13(8):6. https://doi.org/10.1167/tvst.13.8.6

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2024

Artificial Intelligence Quantified Outer Retinal Disruption On Optical Coherence Tomography As Clinical Endpoints For Geographic Atrophy

Adam Pely; Simon S. Gao; Katie M Litts; Zhichao Wu; Theodore Leng; Verena Steffen; Hao Chen; Dolly Shuo-Teh Chang; Mohsen Hejrati; Miao Zhang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2344.

ARVO Annual Meeting Abstract June 2024

Generalizability of foundation models for geographic atrophy (GA) lesion segmentation in fundus autofluorescence (FAF)

Eric Gros; Matthew McLeod; Yusuke Kikuchi; Julia Cluceru; Neha Anegondi; Simon S. Gao; Christina Rabe; Daniela Ferrara; Qi Yang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2391.

ARVO Annual Meeting Abstract June 2024

Machine learning to predict GA growth rate via clinical and derived autofluorescence imaging features

Julia Cluceru; Ondrej Slama; Neha Anegondi; Simon S. Gao; Daniela Ferrara; Michel Friesenhahn; Christina Rabe

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2378.

ARVO Annual Meeting Abstract June 2024

Identification of Anatomical Risk Factors for Nascent Geographic Atrophy Onset Using Artificial Intelligence

Somaye Hashemifar; Claudia Iriondo; Heming Yao; Zhichao Wu; Robyn H Guymer; Simon S. Gao; Hao Chen; Jiameng Zhang; Mohsen Hejrati; Miao Zhang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5654.

Optica Fall Vision Meeting Abstract September 2023

Contributed Session III: Preclinical & clinical evaluation of flavoprotein fluorescence as a label-free biomarker of retinal mitochondrial stress

Tiffany Heaster; Julia Kim; Sofia De Arrigunaga; Joyce Kang; Sandra Freeman; Michael Lin; Simon Gao; David Friedman; Dolly Chang; Justin Elstrott
TAGS: biological markers, flavoproteins, fluorescence, mitochondria, stress
Journal of Vision. 2023; 23(11):34. https://doi.org/10.1167/jov.23.11.34

Retina July 2023

Geographic Atrophy Segmentation Using Multimodal Deep Learning

PDF

Theodore Spaide; Jiaxiang Jiang; Jasmine Patil; Neha Anegondi; Verena Steffen; Michael G. Kawczynski; Elizabeth M. Newton; Christina Rabe; Simon S. Gao; Aaron Y. Lee; Frank G. Holz; SriniVas Sadda; Steffen Schmitz-Valckenberg; Daniela Ferrara
TAGS: atrophy, datasets, deep learning, screening, training, diagnostic imaging
Trans. Vis. Sci. Tech.. 2023; 12(7):10. https://doi.org/10.1167/tvst.12.7.10

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2023

Development of IL-33/ST2 pathway activity biomarkers and their evaluation in patients with geographic atrophy secondary to AMD

Vahan Indjeian; Hsu-Hsin Chen; Luz Orozco; Ainhoa Echeverria; Trung Nguy; Ling Ma; Randall Dere; Mauricio Maia; Jennifer Hoffman; Simon S. Gao; Cheryl Schofield

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2718.

ARVO Annual Meeting Abstract June 2023

Predicting geographic atrophy growth rate with clinical and derived imaging features

Julia Cluceru; Ondrej Slama; Neha Anegondi; Simon S. Gao; Daniela Ferrara; Michael Friesenhahn; Christina Rabe

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1118.

ARVO Annual Meeting Abstract June 2023

Generalizability of Convolutional Neural Network and Vision Transformer-Based OCT Segmentation Models

Adam Pely; Zhichao Wu; Theodore Leng; Simon S. Gao; Hao Chen; Mohsen Hejrati; Miao Zhang

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):311.

ARVO Annual Meeting Abstract June 2023

Deep learning to predict future region of growth of geographic atrophy from fundus autofluorescence images

Neha Anegondi; Anish Salvi; Julia Cluceru; Qi Yang; Daniela Ferrara; Christina Rabe; Simon S. Gao

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1117.

ARVO Annual Meeting Abstract June 2023

HONU: A multicenter, prospective, observational study of the progression of intermediate age-related macular degeneration

Robyn H Guymer; Zhichao Wu; Simon Gao; Miao Zhang; Verena Steffen; Katie Litts; Michael C Chang; Justin Elsrott; Chen Chen; Jiameng Zhang; Liang Liu; Hao Chen

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):2754.

ARVO Annual Meeting Abstract June 2022

Functional imaging of mitochondria using flavoprotein fluorescence and its correlation with intraocular pressure in treated glaucoma patients

Julia Anne Kim; Dolly Chang; Sofia De Arrigunaga; Joyce Kang; Sandra Freeman; Yan Zhao; Justin Elstrott; Simon S Gao; Tiffany Heaster; Michael M. Lin; David S Friedman

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3491.

ARVO Annual Meeting Abstract June 2022

Development and validation of prognostic models to increase power of clinical trials for geographic atrophy (GA)

Verena Steffen; Neha Anegondi; Qi Yang; Michel Friesenhahn; Daniela Ferrara; Simon S Gao; Christina Rabe

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1498.

ARVO Annual Meeting Abstract June 2022

Quantification of lesion progression of incomplete and complete retinal pigment epithelium and outer retinal atrophy in age-related macular degeneration

Steffen Schmitz-Valckenberg; Marlene Sassmannshausen; Martina Braun; Verena Steffen; Simon S Gao; Lee Honigberg; Daniela Ferrara; Maximilian Pfau; Frank G Holz

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2321.

ARVO Annual Meeting Abstract June 2022

Feature discovery using ablation studies for deep learning–based geographic atrophy (GA) progression prediction

Julia Cluceru; Neha Anegondi; Qi Yang; Verena Steffen; Christina Rabe; Michel Friesenhahn; Daniela Ferrara; Simon S Gao

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3859.

ARVO Annual Meeting Abstract June 2022

A hierarchical optical coherence tomography annotation workflow with crowds and medical experts

Miao Zhang; Simon S Gao; Verena Steffen; Zhichao Wu; Theodore Leng; Mahdi Abbaspour Tehrani; Seyyedeh Qazale Mirsharif; Nagamurali Movva; Mohsen Hejrati; Hao Chen

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):3013 – F0283.

ARVO Annual Meeting Abstract June 2021

Multi-modal Geographic Atrophy Lesion Growth Rate Prediction using Deep Learning

Qi Yang; Neha Anegondi; Verena Steffen; Christina Rabe; Daniela Ferrara; Simon S. Gao

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):235.

ARVO Annual Meeting Abstract June 2021

Identification of choroidal neovascularization activity using deep learning

Xiaoyong Wang; Simon S. Gao; Michael Kawczynski; Neha Anegondi; Andreas Thalhammer; Thomas Bengtsson; Jeffrey R Willis; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2141.

ARVO Annual Meeting Abstract June 2021

Prediction of best-corrected visual acuity (BCVA) from color fundus photography (CFP) using deep learning (DL)

Michael Kawczynski; Neha Anegondi; Qi Yang; Jeffrey R Willis; Thomas Bengtsson; Simon S. Gao; Jian Dai

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):126.

1 2 3

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Specify Date Range

Topographic Clinical Insights From Deep Learning–Based Geographic Atrophy Progression Prediction

Artificial Intelligence Quantified Outer Retinal Disruption On Optical Coherence Tomography As Clinical Endpoints For Geographic Atrophy

Generalizability of foundation models for geographic atrophy (GA) lesion segmentation in fundus autofluorescence (FAF)

Machine learning to predict GA growth rate via clinical and derived autofluorescence imaging features

Identification of Anatomical Risk Factors for Nascent Geographic Atrophy Onset Using Artificial Intelligence

Contributed Session III: Preclinical & clinical evaluation of flavoprotein fluorescence as a label-free biomarker of retinal mitochondrial stress

Geographic Atrophy Segmentation Using Multimodal Deep Learning

Development of IL-33/ST2 pathway activity biomarkers and their evaluation in patients with geographic atrophy secondary to AMD

Predicting geographic atrophy growth rate with clinical and derived imaging features

Generalizability of Convolutional Neural Network and Vision Transformer-Based OCT Segmentation Models

Deep learning to predict future region of growth of geographic atrophy from fundus autofluorescence images

HONU: A multicenter, prospective, observational study of the progression of intermediate age-related macular degeneration

Functional imaging of mitochondria using flavoprotein fluorescence and its correlation with intraocular pressure in treated glaucoma patients

Development and validation of prognostic models to increase power of clinical trials for geographic atrophy (GA)

Quantification of lesion progression of incomplete and complete retinal pigment epithelium and outer retinal atrophy in age-related macular degeneration

Feature discovery using ablation studies for deep learning–based geographic atrophy (GA) progression prediction

A hierarchical optical coherence tomography annotation workflow with crowds and medical experts

Multi-modal Geographic Atrophy Lesion Growth Rate Prediction using Deep Learning

Identification of choroidal neovascularization activity using deep learning

Prediction of best-corrected visual acuity (BCVA) from color fundus photography (CFP) using deep learning (DL)

To View More...

You must be signed into an individual account to use this feature.