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ARVO Annual Meeting Abstract June 2025

Longitudinal Tracking of Geographic Atrophy Progression using AI-enabled Segmentation and Registration

Yoga Advaith Veturi; Aaron Beckwith; Ramya Gnanaraj; Andres Lisker-Cervantes; Zafar Gill; Scott Kinder; Benjamin Bearce; Giacomo Nebbia; Steve McNamara; Niranjan Manoharan; Talisa de Carlo Forest; Anne M Lynch; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):5850.

ARVO Annual Meeting Abstract June 2025

Adopting Uncertainty-Aware Training to Improve Geographic Atrophy Segmentation

Christopher William Clark; Scott Kinder; Yoga Advaith Veturi; Upasana Thakuria; Steve McNamara; Aaron D Beckwith; Praveer Singh; Niranjan Manoharan; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):581.

ARVO Annual Meeting Abstract June 2025

Age as a confounding factor in training Deep Learning models for neurodegenerative diseases from retinal images

Shivang Mistry; Giacomo Nebbia; Steve McNamara; Naresh Mandava; Jayashree Kalpathy-Cramer; Praveer Singh

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):5470.

ARVO Annual Meeting Abstract June 2025

Can foundation models aid patient re-identification from ophthalmic images?

Giacomo Nebbia; Sourav Kumar; Steve McNamara; J. Peter Campbell; Michael F Chiang; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4195.

ARVO Annual Meeting Abstract June 2025

Predicting Geographic Atrophy Growth with Deep Learning using Fundus Autofluorescence

Sourav Kumar; Steve McNamara; Giacomo Nebbia; Talisa de Carlo Forest; Niranjan Manoharan; Naresh Mandava; Jayashree Kalpathy-Cramer; Praveer Singh

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4162.

ARVO Annual Meeting Abstract June 2025

Multiclass Segment Anything Model (Mc-SAM) for Fundus and OCT Segmentations

Scott Kinder; Steve McNamara; Benjamin Bearce; Christopher William Clark; Talisa E de Carlo Forest; Niranjan Manoharan; Malik Y. Kahook; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4161.

ARVO Annual Meeting Abstract June 2025

AEye Chatbot: A Multimodal Chatbot for Ophthalmology

Steve McNamara; Sourav Kumar; Giacomo Nebbia; Himanshu Tulip; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3919.

ARVO Annual Meeting Abstract June 2025

Comparative Effectiveness of AI-Assisted vs Manual Annotations of Geographic Atrophy Using OPTIMEyes

Benjamin Bearce; Steve McNamara; Scott Kinder; Giacomo Nebbia; Andres Lisker-Cervantes; Lauren Arguinchona; Brittany Marks; Isabelle Roseto; Luis Barrientos; Dallin Milner; Ramya Gnanaraj; Zafar Gill; Matthew Tukel; Kathryn Abe-Ridgway; Naresh Mandava; Niranjan Manoharan; Talisa de Carlo Forest; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):600.

ARVO Annual Meeting Abstract June 2025

A Bayesian Gompertz Model to Address Non-Linearity in Geographic Atrophy Growth

Aaron D Beckwith; Yoga Advaith Veturi; Ramya Gnanaraj; Scott Kinder; Benjamin Bearce; Giacomo Nebbia; Steve McNamara; Niranjan Manoharan; Talisa de Carlo Forest; Anne M Lynch; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3990.

ARVO Annual Meeting Abstract June 2025

Automated retina CPT code prediction from surgical notes with Large Language Models

Russ Steil; Giacomo Nebbia; Hongan Chen; Steve McNamara; Praveer Singh; Niranjan Manoharan; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3888.

Artificial Intelligence June 2025

Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography Measurements

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Scott Kinder; Steve McNamara; Christopher Clark; Benjamin Bearce; Upasana Thakuria; Yoga Advaith Veturi; Galia Deitz; Talisa E. de Carlo Forest; Naresh Mandava; Malik Y. Kahook; Praveer Singh; Jayashree Kalpathy-Cramer
TAGS: artificial intelligence, datasets, glaucoma, optic cup, optic disk, optical coherence tomography, training, electronic medical records
Trans. Vis. Sci. Tech.. 2025; 14(6):30. https://doi.org/10.1167/tvst.14.6.30

Includes: Supplemental Content

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.

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Longitudinal Tracking of Geographic Atrophy Progression using AI-enabled Segmentation and Registration

Adopting Uncertainty-Aware Training to Improve Geographic Atrophy Segmentation

Age as a confounding factor in training Deep Learning models for neurodegenerative diseases from retinal images

Can foundation models aid patient re-identification from ophthalmic images?

Predicting Geographic Atrophy Growth with Deep Learning using Fundus Autofluorescence

Multiclass Segment Anything Model (Mc-SAM) for Fundus and OCT Segmentations

AEye Chatbot: A Multimodal Chatbot for Ophthalmology

Comparative Effectiveness of AI-Assisted vs Manual Annotations of Geographic Atrophy Using OPTIMEyes

A Bayesian Gompertz Model to Address Non-Linearity in Geographic Atrophy Growth

Automated retina CPT code prediction from surgical notes with Large Language Models

Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography Measurements

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

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