Risk factors for progression of age-related macular degeneration: population-based Amish eye study

MG Nittala, F Corvi, J Maram, SB Velaga… - Journal of clinical …, 2022 - mdpi.com
Objective: To evaluate the optical coherence tomography (OCT)-based risk factors for
progression to late age-related macular degeneration (AMD) in a population-based study of …

Comparison between B-scan and en face images for incomplete and complete retinal pigment epithelium and outer retinal atrophy

F Corvi, G Corradetti, R Laiginhas, J Liu, G Gregori… - Ophthalmology …, 2023 - Elsevier
Purpose To evaluate and compare the detection of incomplete retinal pigment epithelium
and outer retinal atrophy (iRORA) and complete retinal pigment epithelium and outer retinal …

Choroidal vascularity index and choroidal thickness in eyes with reticular pseudodrusen

SB Velaga, MG Nittala, KK Vupparaboina, S Jana… - Retina, 2020 - journals.lww.com
Purpose: To evaluate choroidal vascularity index (CVI), choroidal thickness, choroidal
volume, and choroidal intensity in subjects with nonneovascular age-related macular …

Early stages of age-related macular degeneration: racial/ethnic differences and proposal of a new classification incorporating emerging concept of choroidal …

M Sasaki, R Kawasaki, Y Yanagi - Journal of clinical medicine, 2022 - mdpi.com
The progression of age-related macular degeneration (AMD) is determined by
environmental and genetic factors, and phenotypic or molecular risk factors have been …

Relationship between the distribution of intra-retinal hyper-reflective foci and the progression of intermediate age-related macular degeneration

A Verma, G Corradetti, Y He, MG Nittala… - Graefe's Archive for …, 2023 - Springer
Purpose To assess the relationship between the distribution of intra-retinal hyper-reflective
foci (IHRF) on optical coherence tomography (OCT) and progression of intermediate age …

Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning

JN Chiang, G Corradetti, MG Nittala, F Corvi… - Ophthalmology …, 2023 - Elsevier
Objective To assess and validate a deep learning algorithm to automatically detect
incomplete retinal pigment epithelial and outer retinal atrophy (iRORA) and complete retinal …

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

N Rakocz, JN Chiang, MG Nittala, G Corradetti… - NPJ digital …, 2021 - nature.com
One of the core challenges in applying machine learning and artificial intelligence to
medicine is the limited availability of annotated medical data. Unlike in other applications of …

Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans

O Avram, B Durmus, N Rakocz, G Corradetti… - Nature Biomedical …, 2024 - nature.com
The application of machine learning to tasks involving volumetric biomedical imaging is
constrained by the limited availability of annotated datasets of three-dimensional (3D) scans …

Biomarkers for nonexudative age-related macular degeneration and relevance for clinical trials: a systematic review

V Fang, M Gomez-Caraballo, EM Lad - Molecular Diagnosis & Therapy, 2021 - Springer
Topic The purpose of the review was to identify structural, functional, blood-based, and other
types of biomarkers for early, intermediate, and late nonexudative stages of age-related …

Reproducibility of qualitative assessment of drusen volume in eyes with age related macular degeneration

F Corvi, S Srinivas, MG Nittala, G Corradetti, SB Velaga… - Eye, 2021 - nature.com
Background Although an optical coherence tomography (OCT)-derived central drusen
volume≥ 0.03 mm3 has been found to be a risk factor for progression to late age-related …