Publications

Two-Step Segmentation of Motion-Corrupted Primate OCT Using Annotation-Efficient Training

Multimodal Deep Learning Differentiates Papilledema and Non-Arteritic Anterior Ischemic Optic Neuropathy From Healthy Eyes

abVAE: Attribute-Based Booster Variational Autoencoder for Interpretable Latent Presentation in Optical Coherence Tomography of Glaucomatous Eyes

Archetypal analysis quantifies changes in patterns of visual field loss in eyes with acute non-arteritic anterior ischaemic optic neuropathy

Early Optic Nerve Head Swelling Rate Is Associated with Worsening of Visual Outcomes in Nonarteritic Anterior Ischemic Optic Neuropathy

X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma Screening

Automated Retinal Vascular Analysis Reveals Response to Acetazolamide in Idiopathic Intracranial Hypertension

Optic Nerve Atrophy Conditions Associated With 3D Unsegmented Optical Coherence Tomography Volumes Using Deep Learning

APOSTEL-R Recommendations for Reporting Retinal Optical Coherence Tomography Studies in Rodents

Deep Learning Differentiates Papilledema, NAION, and Healthy Eyes With Unsegmented 3D OCT Volumes

Deep Learning Approach Readily Differentiates Papilledema, Non-Arteritic Anterior Ischemic Optic Neuropathy, and Healthy Eyes

Laser Speckle Flowgraphy Reveals Widespread Reductions in Ocular Blood Flow in nonexudative Age-Related Macular Degeneration

RetinaRegNet: A zero-shot approach for retinal image registration

Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration

Dynamic retinal blood flow analysis: Heartbeat-correlated artery and vein identification in laser speckle flowgraphy

Retina Layers Thickness Guided Vision Transformer for Glaucoma Diagnosis

Classification of range of OCT-angiography capillary density using multichannel deep learning models in diabetic retinopathy, aging macular degeneration, and radiation retinopathy

Archetypal Analysis Reveals Consistent Visual Field Patterns for Stimulus Sizes III and V in Glaucoma and NAION

Radiation effects on retinal layers revealed by OCT, OCT-A, and perimetry as a function of dose and time from treatment

Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning

Classifying and quantifying changes in papilloedema using machine learning

Hybrid deep learning and optimal graph search method for optical coherence tomography layer segmentation in diseases affecting the optic nerve

Visualization of Optic Nerve Structural Patterns in Papilledema Using Deep Learning Variational Autoencoders

Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence tomography

Neuro-ophthalmic features of patients with spontaneous cerebrospinal fluid leaks

Archetypal analysis of longitudinal visual fields for idiopathic intracranial hypertension patients presenting in a clinic setting

Automated Optic Disc Finder and Segmentation Using Deep Learning for Blood Flow Studies in the Eye

Retinal arterial–venous pulse delay: a new specific marker for a carotid–cavernous fistula

Reduced blood flow by laser speckle flowgraphy after 125I-plaque brachytherapy for uveal melanoma

Longitudinal visual field archetypal analysis of optic neuritis treated in a clinical setting

Automated Macular OCT Retinal Surface Segmentation in Cases of Severe Glaucoma Using Deep Learning

A Superpixel-Histogram Method to Analyze Retinal, Optic Nerve, and Choroidal Blood Flow Using Laser Speckle Flowgraphy

Utility of Spectral-Domain Optical Coherence Tomography in Differentiating Papilledema From Pseudopapilledema: A Prospective Longitudinal Study

Representation and Reconstruction of Image-Based Structural Patterns of Glaucomatous Defects Using only Two Latent Variables from a Variational Autoencoder

Association of Optical Coherence Tomography With Longitudinal Neurodegeneration in Veterans With Chronic Mild Traumatic Brain Injury

A deep-learning approach for automated oct en-face retinal vessel segmentation in cases of optic disc swelling using multiple en-face images as input

Deep-Learning-Based Estimation of 3D Optic-Nerve-Head Shape from 2D Color Fundus Photographs in Cases of Optic Disc Swelling

The Effect of Acetazolamide and Weight Loss on Intraocular Pressure in Idiopathic Intracranial Hypertension Patients

Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography

Peripapillary retinal pigment epithelium layer shape changes from acetazolamide treatment in the idiopathic intracranial hypertension treatment trial

The Effect of Treatment of Idiopathic Intracranial Hypertension on Prevalence of Retinal and Choroidal Folds

Automatic detection of folds and wrinkles due to swelling of the optic disc

Retinal ganglion cell layer thinning within one month of presentation for non-arteritic anterior ischemic optic neuropathy

Retinal ganglion cell layer thinning within one month of presentation for optic neuritis

The pattern of visual fixation eccentricity and instability in optic neuropathy and its spatial relationship to retinal ganglion cell layer thickness

Papilledema Outcomes from the Optical Coherence Tomography Substudy of the Idiopathic Intracranial Hypertension Treatment Trial

Multimodal Segmentation of Optic Disc and Cup from SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach

Retinal and choroidal folds in papilledema

Combined use of high-definition and volumetric optical coherence tomography for the segmentation of neural canal opening in cases of optic nerve edema

Causes and prognosis of visual acuity loss at the time of initial presentation in idiopathic intracranial hypertension

Semi-automated 2D Bruch's membrane shape analysis in papilledema using spectral-domain optical coherence tomography

Determining degree of optic nerve edema from color fundus photography

Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-D range expansion approach

Automated 3-D Region-Based Volumetric Estimation of Optic Disc Swelling in Papilledema Using Spectral-Domain Optical Coherence Tomography

Quantitative evaluation of papilledema from stereoscopic color fundus photographs

Automated quantification of volumetric optic disc swelling in papilledema using spectral-domain optical coherence tomography

Simplified radius, ulna, and short bone-age assessment procedure using grouped-Tanner-Whitehouse method