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Meeting Abstract (14)
Journal Articles (3)

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Investigative Ophthalmology & Visual Science (11)
Journal of Vision (5)
Translational Vision Science & Technology (1)

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ARVO Annual Meeting Abstract (11)
Vision Sciences Society Annual Meeting Abstract (3)
Article (2)
Articles (1)

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Eye Anatomy and Disorders (2)
Retina (2)
Glaucoma (1)
Low Vision (1)
Perception and Action (1)
Translational Research (1)
Visual Neuroscience (1)
Visual Psychophysics and Physiological Optics (1)

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age-related macular degeneration (1)
blindness (1)
convolutional neural networks (1)
datasets (1)
drusen (1)
electroencephalography (1)
glaucoma (1)
impairment (1)
maps (1)
neurons (1)

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ARVO Annual Meeting Abstract June 2022

Evaluation of a Deep Learning Model on a Real-World Clinical Glaucoma Dataset

Kaveri Thakoor; Ari Leshno; Sol La Bruna; Emmanouil Tsamis; Gustavo De Moraes; Paul Sajda; Noga Harizman; Jeffrey M Liebmann; George A Cioffi; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2026 – A0467.

ARVO Annual Meeting Abstract June 2021

A Hybrid Deep Learning System to Distinguish Late Stages of AMD and to Compare Expert vs. Machine AMD Risk Features

Kaveri Thakoor; Darius Bordbar; Jiaang Yao; Omar Moussa; Weijie Lin; Ioana Scherbakova; Vlad Diaconita; Paul Sajda; Royce Chen

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2146.

Articles April 2021

Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT Scans

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Kaveri A. Thakoor; Xinhui Li; Emmanouil Tsamis; Zane Z. Zemborain; Carlos Gustavo De Moraes; Paul Sajda; Donald C. Hood
TAGS: convolutional neural networks, datasets, glaucoma, reference standards, retinal nerve fiber layer, training, maps
Trans. Vis. Sci. Tech.. 2021; 10(4):16. https://doi.org/10.1167/tvst.10.4.16

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Impact of Reference Standard, Data Augmentation, and OCT Input on Glaucoma Detection Accuracy by CNNs on a New Test Set

Kaveri Thakoor; Emmanouil (Manos) Tsamis; C Gustavo De Moraes; Paul Sajda; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4540.

ARVO Annual Meeting Abstract July 2019

Assessing the Ability of Convolutional Neural Networks to Detect Glaucoma from OCT Probability Maps

Kaveri A Thakoor; Qian Zheng; Linyong Nan; Xinhui Li; Emmanouil (Manos) Tsamis; Rashmi Rajshekhar; Isht Dwivedi; Iddo Drori; Paul Sajda; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1464.

ARVO Annual Meeting Abstract June 2015

Hyperspectral Autofluorescence (AF) Characterization of Drusen in Donor Eyes with Age-Related Macular Degeneration (AMD)

Yuehong Tong; Tal Ben Ami; Ansh Johri; Robert Post; Zsolt Ablonczy; Paul Sajda; Christine A Curcio; Thomas Ach; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):3956.

ARVO Annual Meeting Abstract June 2015

Ex Vivo Hyperspectral Autofluorescence (AF) Imaging of Retinal Pigment Epithelium (RPE) in Human Donor Eyes with Age-related Macular Degeneration (AMD)

Tal Ben Ami; Yuehong Tong; Paul Sajda; Zsolt Ablonczy; Christine A Curcio; Theodore Smith; Thomas Ach

Invest. Ophthalmol. Vis. Sci.. 2015; 56(7 ):4369.

ARVO Annual Meeting Abstract April 2014

Simultaneous decomposition of multiple retinal pigment epithelium (RPE) autofluorescence hyperspectral datasets for fluorophor discovery

Robert Post; Ansh Johri; Bhaskar Ganti; Paul Sajda; Thomas Ach; Christine A Curcio; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):263.

ARVO Annual Meeting Abstract April 2014

Mathematical modeling of retinal pigment epithelium (RPE) autofluorescence (AF) with Gaussian mixture models and non-negative matrix factorization (NMF)

Ansh Johri; Robert Post; Bhaskar Ganti; Amani A Fawzi; Paul Sajda; Thomas Ach; Christine A Curcio; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3827.

ARVO Annual Meeting Abstract April 2014

Quantitation of Hyperspectral Autofluorescence (AF) from Human Retinal Pigment Epithelium (RPE) Ex Vivo

Camellia Nabati; Ansh Johri; Robert Post; Paul Sajda; Thomas Ach; Christine A Curcio; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3844.

ARVO Annual Meeting Abstract April 2014

Hyperspectral image analysis of ex vivo autofluorescence (AF) of human Bruch’s membrane (BrM)

Aalya Fatoo; Ansh Johri; Rob Post; Paul Sajda; Christine A Curcio; Thomas Ach; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):3845.

ARVO Annual Meeting Abstract April 2014

Hyperspectral Imaging Evidence for Four Abundant Retinal Pigment Epithelium (RPE) Fluorophors Across Age and Retinal Location

Kanika Agarwal; Robert Post; Ansh Johri; Alicia Cowley; Paul Sajda; Thomas Ach; Christine A Curcio; Theodore Smith

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5242.

Article November 2013

EEG precursors of detected and missed targets during free-viewing search

PDF

João C. Dias; Paul Sajda; Jacek P. Dmochowski; Lucas C. Parra
TAGS: electroencephalography, saccades
Journal of Vision. 2013; 13(13):13. https://doi.org/10.1167/13.13.13

Article December 2011

Decoding simulated neurodynamics predicts the perceptual consequences of age-related macular degeneration

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Jianing V. Shi; Jim Wielaard; R. Theodore Smith; Paul Sajda
TAGS: age-related macular degeneration, drusen, neurons, primary visual cortex, psychometrics, psychophysics, scotoma, blindness, impairment
Journal of Vision. 2011; 11(14):4. https://doi.org/10.1167/11.14.4

Vision Sciences Society Annual Meeting Abstract August 2009

We find before we Look: Neural signatures of target detection preceding saccades during visual search

An Luo; Lucas Parra; Paul Sajda

Journal of Vision. 2009; 9(8):1207. https://doi.org/10.1167/9.8.1207

Vision Sciences Society Annual Meeting Abstract September 2005

A probabilistic network model of the influence of local figure-ground representations on the perception of motion

Kyungim Baek; Paul Sajda

Journal of Vision. 2005; 5(8):842. https://doi.org/10.1167/5.8.842

Vision Sciences Society Annual Meeting Abstract September 2005

The role of the LGN on the spatial frequency dependence of surround suppression in V1: Investigations using a computational model

Jim Wielaard; Paul Sajda

Journal of Vision. 2005; 5(8):888. https://doi.org/10.1167/5.8.888

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