A5038474755- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Optical Coherence Tomography Applications
- Ocular Surface and Contact Lens
- Multiple Sclerosis Research Studies
- Cerebral Venous Sinus Thrombosis
- Corneal surgery and disorders
- Retinal and Macular Surgery
- Ocular Diseases and Behçet’s Syndrome
- Medical Imaging Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Systemic Lupus Erythematosus Research
- Advanced MRI Techniques and Applications
- Herpesvirus Infections and Treatments
- Advanced Drug Delivery Systems
- Optical Imaging and Spectroscopy Techniques
- Digital Imaging for Blood Diseases
- Atomic and Subatomic Physics Research
- Advanced X-ray and CT Imaging
- Intraocular Surgery and Lenses
- Retinal Development and Disorders
- Fractal and DNA sequence analysis
- Pain Management and Treatment
Novartis (Switzerland)
2022
Howard Hughes Medical Institute
2022
Dolby (United States)
2021
The University of Western Australia
2016
Carl Zeiss (United States)
2008-2013
Stanford Medicine
2013
Johns Hopkins University
2012
The University of Texas Southwestern Medical Center
2012
University of South Alabama
2012
University of Pennsylvania
2012
To demonstrate the capability of SD-OCT to measure macular retinal ganglion cell-inner plexiform layer (GCIPL) thickness and assess its reproducibility in glaucomatous eyes.Fifty-one eyes (26 mild, 11 moderate, 14 severe) 51 patients underwent scanning using Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA) macula 200×200 acquisition protocol. Five scans were obtained on 5 days within 2 months. The cell analysis (GCA) algorithm was used detect GCIPL overall average, minimum, superotemporal,...
Post-mortem ganglion cell dropout has been observed in multiple sclerosis; however, longitudinal vivo assessment of retinal neuronal layers following acute optic neuritis remains largely unexplored. Peripapillary nerve fibre layer thickness, measured by optical coherence tomography, proposed as an outcome measure studies neuroprotective agents sclerosis, yet potential swelling during the stages may confound baseline measurements. The objective this study was to ascertain whether patients...
Optical coherence tomography studies in multiple sclerosis have primarily focused on evaluation of the retinal nerve fibre layer. The aetiology changes is thought to be secondary optic demyelination. objective this study was use optical determine if a subset patients with exhibit primary neuronopathy, absence retrograde degeneration layer and ascertain such may any distinguishing clinical characteristics. We identified 50 predominantly macular thinning (normal fibre-layer thickness average...
Background: Post-mortem analyses of multiple sclerosis (MS) eyes demonstrate prominent retinal neuronal ganglion cell layer (GCL) loss, in addition to related axonal nerve fiber (RNFL) loss. Despite this, clinical correlations layers remain largely unexplored MS. Objectives: To determine if MS patients exhibit vivo GCL deeper and investigate between thicknesses, subtype validated measures. Methods: Cirrus HD-optical coherence tomography (OCT), utilizing automated intra-retinal segmentation,...
<h3>Background</h3> The detrimental impact of smoking on health has been widely documented since the 1960s. Numerous studies have also quantified economic cost that imposes society. However, these mostly in high income countries, with limited documentation from developing countries. aim this paper is to measure smoking-attributable diseases countries throughout world, including low- and middle-income settings. <h3>Methods</h3> Cost Illness approach used estimate attributable-diseases 2012....
<h3>Objective</h3>To determine the relationships between conventional and segmentation-derived optical coherence tomography (OCT) retinal layer thickness measures with intracranial volume (a surrogate of head size) brain substructure volumes in multiple sclerosis (MS).<h3>Design</h3>Cross-sectional study.<h3>Setting</h3>Johns Hopkins University, Baltimore, Maryland.<h3>Participants</h3>A total 84 patients MS 24 healthy control subjects.<h3>Main Outcome Measures</h3>High-definition...
Purpose: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging methods deep learning. Methods: Seventy-one eyes 71 patients with confirmed AMD contralateral were imaged OCT three times over 2 years (baseline, year 1, 2). These divided into two groups: that had not converted (n = 40) at those 31). Two convolutional neural networks (CNN) evaluated...
Purpose To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD). Methods 300 optical coherence tomography volumes from subject eyes nAMD were collected. Images manually segmented presence crucial features: intraretinal fluid, subretinal hyperreflective material, drusen/drusenoid pigment epithelium detachment (PED) PED. A architecture based on U-Net was trained to perform automatic these...
Optical coherence tomography (OCT) with retinal segmentation analysis is a valuable tool in assessing axonal loss and neuro-degeneration multiple sclerosis (MS) by in-vivo imaging, delineation quantification of layers. There evidence deep involvement MS beyond the inner The ultra-structural changes different phenotypes can reflect differences pathophysiologic mechanisms. limited data on pattern deeper layer progressive (PMS) versus relapsing remitting (RRMS). We have compared OCT patients...
Purpose: The purpose of this study was to develop a 3D deep learning system from spectral domain optical coherence tomography (SD-OCT) macular cubes differentiate between referable and nonreferable cases for glaucoma applied real-world datasets understand how would affect the performance. Methods: There were 2805 Cirrus (OCT) macula volumes (Macula protocol 512 × 128) 1095 eyes 586 patients at single site that used train fully convolutional neural network (CNN). Referable included true...
Aims/Purpose: To study the optic nerve head (ONH) dimension in symptomatic and asymptomatic patients with Leber hereditary neuropathy (LHON) to correlate ONH parameters genotype clinical phenotype. Methods: Seventy‐eight affected patients, 175 carriers, 29 age‐matched healthy controls were enrolled study. All underwent optical coherence tomography (OCT) measurements by DRI OCT Triton (Topcon, Japan) analyzed Orion custom software (Volexeron, CA, USA). The following obtained for each eye:...
Purpose: To determine the repeatability and profiles with different partition methods in intraretinal thickness layers healthy human subjects, using optical coherence tomography (OCT). Methods: A custom-built ultrahigh-resolution OCT was used to acquire three-dimensional volume of macula 20 subjects. The dataset acquired twice macular cube 512×128 protocol an area 6×6 mm 2 centered on fovea. Commercially available segmentation software (Orion™) segment into maps six layers. coefficient...
Abstract Background To develop and validate a deep learning-based approach to the fully-automated analysis of macaque corneal sub-basal nerves using in vivo confocal microscopy (IVCM). Methods IVCM was used collect 108 images from 35 macaques. 58 22 macaques were evaluate different convolutional neural network (CNN) architectures for automatic relative manual tracings. The remaining independently assess correlations inter-observer performance three readers. Results Correlation scores...
Purpose To evaluate the predictive ability of a deep learning-based algorithm to determine long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age-related macular degeneration (nARMD) patients using baseline swept-source optical coherence tomography (SS-OCT) and OCT-angiography (OCT-A) data. Methods In this phase IV, retrospective, proof concept, single center study, SS-OCT data from 17 previously treated nARMD eyes was used assess retinal layer thicknesses, as...
Peripheral neuropathy is the most frequent neurological complication of HIV infection, affecting more than one-third infected patients, including patients treated with antiretroviral therapy. Although emerging noninvasive techniques for corneal nerve assessments are increasingly being used to diagnose and monitor peripheral neuropathies, alterations have not been characterized in HIV. Here, determine whether SIV infection leads fiber loss, we immunostained corneas marker βIII tubulin. We...
Abstract Axonal loss is the main determinant of disease progression in multiple sclerosis (MS). This study aimed to assess utility corneal confocal microscopy (CCM) detecting axonal different courses MS. The results were confirmed by two independent segmentation methods. 72 subjects (144 eyes) [(clinically isolated syndrome (n = 9); relapsing–remitting MS 20); secondary-progressive 22); and age-matched, healthy controls 21)] underwent CCM assessment their disability status. Two algorithms...