Search | TVST | ARVO Journals

Showing 1 – 20 of 65

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

ARVO Imaging in the Eye Conference Abstract July 2024

The Case for Federated Learning: Challenges and Opportunities in Multi-Institutional Deep Learning Approaches for Ophthalmic Imaging

Benton Chuter; Scott Kinder; Justin Huynh; Ruben Gonzalez; Sreenidhi Iyengar; Benjamin Xu; Nazlee Zebardast; Mohammad Eslami; Saber Kazeminasab; Tobias Elze; Mark Christopher; Linda Zangwill; Jayashree Kalpathy-Cramer; Praveer Singh; Sally Baxter

Invest. Ophthalmol. Vis. Sci.. 2024; 65(9):PP007.

ARVO Annual Meeting Abstract June 2024

Fusing Vision and Language: A Multimodal Deep Learning Framework to Predict Fundus Image Diagnosis & Eye Laterality from Generated Free Text

Randy Yang Lu; Steve McNamara; Praveer Singh; Malik Kahook; Naresh Mandava; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5923.

ARVO Annual Meeting Abstract June 2024

Integrating Clinical, Imaging, and Genetic Data for Severe ROP Prediction

Susan R Ostmo; Wei-Chun Lin; Aaron S Coyner; Praveer Singh; Jayashree Kalpathy-Cramer; Deniz Erdogmus; Robison Vernon Paul Chan; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4290.

ARVO Annual Meeting Abstract June 2024

EyeLiner: Longitudinal retinal fundus image alignment through clinically guided keypoint detection

Yoga Advaith Veturi; Steve McNamara; Scott Kinder; Christopher Clark; Benjamin Bearce; Naresh Mandava; Malik Kahook; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2376.

ARVO Annual Meeting Abstract June 2024

Deep Learning-Based Prediction of Genetic Risk in Retinopathy of Prematurity Using Retinal Images

Benjamin Young; Wei-Chun Lin; Aaron S Coyner; Susan R Ostmo; Praveer Singh; Jayashree Kalpathy-Cramer; Deniz Erdogmus; Robison Vernon Paul Chan; Michael F Chiang; John Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3764.

ARVO Annual Meeting Abstract June 2024

OPTIMEyes: An Annotation and Inference Feedback Tool for Multimodal Ophthalmic Imaging

Steve McNamara; Benjamin Bearce; Scott Kinder; Yoga Advaith Veturi; Christopher Clark; Ramya Gnanaraj; Niranjan Manoharan; Talisa E De Carlo; Praveer Singh; Naresh Mandava; Malik Kahook; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2377.

ARVO Annual Meeting Abstract June 2024

Disease Progression in Ophthalmic Images via Flicker Overlay

Benjamin Bearce; Steve McNamara; Scott Kinder; Advaith Veturi; Christopher Clark; Galia Dietz; Stephanie Wangyu; Naresh Mandava; Malik Kahook; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1649.

ARVO Annual Meeting Abstract June 2024

AI-based Optic Disc and Cup Segmentation Can Provide Consistent Cup-Disc Ratio (CDR) Measurements and Precise Progression Tracking

Scott Kinder; Steve McNamara; Christopher Clark; Yoga Advaith Veturi; Galia Dietz; Talisa E De Carlo; Malik Kahook; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6189.

ARVO Annual Meeting Abstract June 2024

Towards an Optimal (Self)-Supervised Learning Paradigm for Diabetic Retinopathy Detection

Christopher Clark; Scott Kinder; Jayashree Kalpathy-Cramer; Steve McNamara; Benjamin Bearce; Praveer Singh; Advaith Veturi

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5658.

ARVO Annual Meeting Abstract June 2024

Monitoring Disease Progression with Stable Diffusion in Retinopathy of Prematurity

Sourav Kumar; SHELL XU; AARON S COYNER; Wei-Chun Lin; Susan R Ostmo; Deniz Erdogmus; Himanshu Tulip; RV Paul Chan; Michael Chiang; J. Peter Campbell; Jayashree Kalpathy-Cramer; Timothy Hospedales; Praveer Singh

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5653.

ARVO Annual Meeting Abstract June 2024

A Deep Learning based Automatic Drusen Segmentation Model for Age Related Macular Degeneration in Ultra Wide-Field Imaging

Praveer Singh; Sourav Kumar; Iris Deitch; Dolev Dollberg; Nikhit Rachapudi; Ines Lains; Deeba Husain; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2416.

ARVO Annual Meeting Abstract June 2024

Assistive artificial intelligence for improved clinical diagnosis of retinopathy of prematurity

Aaron S Coyner; Benjamin Young; Susan R Ostmo; Florin Grigorian; Anna Ells; Baker Hubbard; Sarah Rodriguez; Pukhraj Rishi; Aaron Miller; Amit R Bhatt; Swati Agarwal-Sinha; Jonathan E Sears; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; John Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4289.

ARVO Annual Meeting Abstract June 2023

A Multimodal Deep Learning Approach Towards Predicting Severe Retinopathy of Prematurity

Wei-Chun Lin; Susan Ostmo; Aaron S Coyner; Praveer Singh; Jayashree Kalpathy-Cramer; Deniz Erdogmus; Robison Vernon Paul Chan; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):4934.

ARVO Annual Meeting Abstract June 2023

Monte Carlo dropout for increased deep learning repeatability and disease classification performance in retinopathy of prematurity

Aaron S Coyner; Andreanne Lemay; Katharina Hoebel; Praveer Singh; Susan Ostmo; Michael F Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):5124.

ARVO Annual Meeting Abstract June 2023

Efficacy of smartphone-based retinopathy of prematurity tele-screening with and without artificial intelligence

Benjamin Young; Emily Cole; Parag Shah; Susan Ostmo; Prema Subramanian; Andrew Tsai; Aaron S Coyner; Aditi Gupta; Praveer Singh; Michael F Chiang; Jayashree Kalpathy-Cramer; Robison Vernon Paul Chan; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):5123.

ARVO Annual Meeting Abstract June 2023

Inter-rater variability in glaucoma diagnosis using optic nerve head photographs

Jayashree Kalpathy-Cramer; Saif Aldeen Alryalat; Christopher Clark; Praveer Singh; Benjamin Bearce; Sabita Ittoop; Gabriele Lazcano Gomez; Leonard Seibold; Malik Kahook

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):372.

ARVO Annual Meeting Abstract June 2023

Can the eye be a window to your body? AI predicts Neonatal Pulmonary Hypertension through Retinal Fundus Photographs.

Praveer Singh; Riya Tyagi; Brian K Jordan; Brian Scottoline; Susan Ostmo; Aaron S Coyner; Wei-Chun Lin; Deniz Erdogmus; Robison Vernon Paul Chan; Cindy McEvoy; Michael F Chiang; J. Peter Campbell; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):1877.

ARVO Annual Meeting Abstract June 2023

Investigating AI’s Unreasonable Effectiveness in Detecting Self-Declared Racial Identity from Retinal Vascular Maps

Riya Tyagi; J. Peter Campbell; Aaron S Coyner; Susan Ostmo; Wei-Chun Lin; Deniz Erdogmus; Robison Vernon Paul Chan; Michael F Chiang; Jayashree Kalpathy-Cramer; Praveer Singh

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):273.

ARVO Annual Meeting Abstract June 2023

External Validation of Autonomous Retinopathy of Prematurity Screening in the SUNDROP Program

Tom Murickan; Aaron S Coyner; Susan Ostmo; Darius M Moshfeghi; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):268.

ARVO Annual Meeting Abstract June 2022

Federated learning for collaborative clinical diagnosis and disease epidemiology in retinopathy of prematurity

Adam H Hanif; Charles Lu; Ken Chang; Praveer Singh; Aaron S Coyner; James Brown; Susan Ostmo; R.V. Paul Chan; Daniel Rubin; Michael F Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2329.

1 2 3 4

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Specify Date Range

The Case for Federated Learning: Challenges and Opportunities in Multi-Institutional Deep Learning Approaches for Ophthalmic Imaging

Fusing Vision and Language: A Multimodal Deep Learning Framework to Predict Fundus Image Diagnosis & Eye Laterality from Generated Free Text

Integrating Clinical, Imaging, and Genetic Data for Severe ROP Prediction

EyeLiner: Longitudinal retinal fundus image alignment through clinically guided keypoint detection

Deep Learning-Based Prediction of Genetic Risk in Retinopathy of Prematurity Using Retinal Images

OPTIMEyes: An Annotation and Inference Feedback Tool for Multimodal Ophthalmic Imaging

Disease Progression in Ophthalmic Images via Flicker Overlay

AI-based Optic Disc and Cup Segmentation Can Provide Consistent Cup-Disc Ratio (CDR) Measurements and Precise Progression Tracking

Towards an Optimal (Self)-Supervised Learning Paradigm for Diabetic Retinopathy Detection

Monitoring Disease Progression with Stable Diffusion in Retinopathy of Prematurity

A Deep Learning based Automatic Drusen Segmentation Model for Age Related Macular Degeneration in Ultra Wide-Field Imaging

Assistive artificial intelligence for improved clinical diagnosis of retinopathy of prematurity

A Multimodal Deep Learning Approach Towards Predicting Severe Retinopathy of Prematurity

Monte Carlo dropout for increased deep learning repeatability and disease classification performance in retinopathy of prematurity

Efficacy of smartphone-based retinopathy of prematurity tele-screening with and without artificial intelligence

Inter-rater variability in glaucoma diagnosis using optic nerve head photographs

Can the eye be a window to your body? AI predicts Neonatal Pulmonary Hypertension through Retinal Fundus Photographs.

Investigating AI’s Unreasonable Effectiveness in Detecting Self-Declared Racial Identity from Retinal Vascular Maps

External Validation of Autonomous Retinopathy of Prematurity Screening in the SUNDROP Program

Federated learning for collaborative clinical diagnosis and disease epidemiology in retinopathy of prematurity

To View More...

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