Robert N. Weinreb

发表

Relevance Vector Machine for Combining OCT and Standard Automated Perimetry Results for Discriminating Between Healthy and Glaucoma Eyes

Christopher Bowd, Jiucang Hao, Ivan Maynart Tavares, 2006 .

Vessels segmentation in color retinal images using ensemble of bagged decision trees and patched based principle component analysis and linear discriminant analysis

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015 .

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2018, Scientific Reports.

Magnetic resonance imaging of the visual system in vivo: Transsynaptic illumination of V1 and V2 visual cortex

Robert N. Weinreb, James D. Lindsey, Miriam Scadeng, 2007, NeuroImage.

Early detection of visual field conversion using an unsupervised machine-learning analysis of retinal nerve fiber layer thickness measurements

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2016 .

A Bayesian framework for glaucoma progression detection using Heidelberg Retina Tomograph images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2013 .

Detecting glaucomatous change in visual fields: Analysis with an optimization framework

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015, J. Biomed. Informatics.

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points

Tzyy-Ping Jung, Christopher Bowd, Linda M. Zangwill, 2014, IEEE Transactions on Biomedical Engineering.

Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015, Artif. Intell. Medicine.

Glance: A Visual Analytics Approach for Opening the Black Box to Explain Deep Learning Predictions of Glaucomatous Visual Field Damage from Optical Coherence Tomography Scans

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020 .

Parameterized Analysis of Weighted Variants in Blended Cohorts Optimizes Analysis of Exomes from Primary Open Angle Glaucoma Cases from the NEIGHBOR Study

Robert N. Weinreb, Janey L. Wiggs, Kaweh Mansouri, 2012 .

Deep Learning Models Predict Visual Function from Macula Thickness Map

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2019 .

Localized Glaucomatous Change Detection Using a New Permutation Test Strategy

Christopher Bowd, Linda M. Zangwill, Pamela A. Sample, 2008 .

Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014, IEEE Transactions on Biomedical Engineering.

Recognizing glaucomatous defect patterns and detecting progression from visual field measurements using Gaussian mixture model and expectation maximization

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014 .

Detection of Neurological and Ophthalmological Pathologies with Optical Coherence Tomography Using Retinal Thickness Measurements: A Bibliometric Study

Robert N. Weinreb, Alejandro Romero, Francisco López-Muñoz, 2020, Applied Sciences.

Structure function relationships in the glaucomatous macula comparing 10-2 and 24-2 visual fields

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014 .

Glaucoma progression detection using nonlocal Markov random field prior

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014, Journal of medical imaging.

Glaucoma progression detection using variational expectation maximization algorithm

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Learning Manifolds Transformation for Classification of Standard Automated Perimetry

Jiucang Hao, Linda M. Zangwill, T.–W. Lee, 2005 .

Predicting Glaucomatous Progression from Baseline HRT and SAP Measurements Using Relevance Vector Machine (RVM) Classifiers

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2011 .

Evaluation of Heidelberg Retina Tomograph (HRT) Pixel-Wise Glaucomatous Change Detection Techniques That Control for Type-1 Classification Error

Christopher Bowd, Linda M. Zangwill, Pamela A. Sample, 2009 .

Unsupervised Machine Learning With Independent Component Analysis Identifies Patterns of Glaucomatous Visual Field Loss in SITA Fields

Christopher Bowd, Jiucang Hao, Linda M. Zangwill, 2009 .

Machine Learning Classifiers Can Detect Subtle Field Defects in Eyes of HIV Subjects

Terrence J. Sejnowski, Jiucang Hao, T.–W. Lee, 2007 .

Probability of Glaucoma Determined from Standard Automated Perimetry and from Optic Disk Topography using Relevance Vector Machine Classifiers

Terrence J. Sejnowski, Christopher Bowd, Jiucang Hao, 2004 .

A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Effect of Learning on Clinical Perimetric Thresholding Algorithms

Pamela A. Sample, Robert N. Weinreb, Ulrich Schiefer, 2006 .

Automated segmentation of anterior lamina cribrosa surface: How the lamina cribrosa responds to intraocular pressure change in glaucoma eyes?

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2016, Translational vision science & technology.

Solution to spatial inhomogeneity on video monitors

Pamela A. Sample, Robert N. Weinreb, James N. Cook, 1993 .

A unified framework for glaucoma progression detection using Heidelberg Retina Tomograph images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2014, Comput. Medical Imaging Graph..

Analysis of Glaucomatous Visual Field Patterns Found with Unsupervised Learning Using Indpendent Component Analysis and Principal Component Analysis

Terrence J. Sejnowski, T.–W. Lee, Pamela A. Sample, 2002 .

Glaucoma progression detection using a Bayesian-fuzzy logic approach applied to 3D spectral domain optical coherence tomography optic nerve head images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2013 .

Unsupervised machine learning to recognize glaucoma defect patterns and detect progression in RNFL thickness measurements

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015 .

Combining Structural and Functional Tests for Glaucoma Diagnosis via Nonparametric Bayesian Mixture Modeling

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2007 .

Measurement of BMO-based optic disc area and rim area using Artificial Neural Network Principal component analysis (ANN-PCA) approach applied to 3D spectral domain optical coherence tomography optic nerve head images

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014 .

Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring of Glaucoma Medication Adherence

Robert N. Weinreb, Todd P. Coleman, Sally L. Baxter, 2020, Sensors.

Shortened Perimetry for Glaucoma With Top 10 Locations Derived by Feature Selection With Machine Learning Classifiers

Terrence J. Sejnowski, Pamela A. Sample, Robert N. Weinreb, 2003 .

A joint estimation detection of Glaucoma progression in 3D spectral domain optical coherence tomography optic nerve head images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2014, Medical Imaging.

Glaucomatous patterns of binocular visual field loss identified by unsupervised machine learning

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014 .

Detecting Glaucomatous Progression from Localized Visual Function Changes with Corrections for Multiple Comparison

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2016 .

One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma pdf

Rui Fan, Robert N. Weinreb, Mark Christopher, 2020, ArXiv.

GLANCE: Visual Analytics for Monitoring Glaucoma Progression

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020, VCBM.

Individualized deep learning auto-encoder (DL-AE)-based OCT deviation maps for improved glaucoma progression detection

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020 .

A Comparison of Short-Wavelength Automated Perimetry Using the Swedish Interactive Threshold Algorithm (SWAP-SITA) to the Full-Threshold method (SWAP-FT) and Standard Automated Perimetry (SAP-SITA)

Linda M. Zangwill, Pamela A. Sample, Robert N. Weinreb, 2008 .

Comparison of machine learning and traditional classifiers in glaucoma diagnosis

Terrence J. Sejnowski, Pamela A. Sample, Robert N. Weinreb, 2002, IEEE Transactions on Biomedical Engineering.

Predicting Development Of Abnormal Standard Visual Fields In Ocular Hypertensive Eyes: Machine Learning Classifiers And Statpac-like Analysis

Terrence J. Sejnowski, T.–W. Lee, Pamela A. Sample, 2002 .

Evaluating the Optic Disc and Retinal Nerve Fiber Layer in Glaucoma II: Optical Image Analysis

Christopher Bowd, Robert N. Weinreb, R. Weinreb, 2000, Seminars in ophthalmology.

Corrigendum: Mitochondrial pathogenic mechanism and degradation in optineurin E50K mutation-mediated retinal ganglion cell degeneration

Takeshi Iwata, Robert N. Weinreb, Keun-Young Kim, 2017, Scientific Reports.

Optical intraocular pressure measurement system for glaucoma management

Robert N. Weinreb, Frank E. Talke, Phuong Truong, 2017, 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).

Detecting Glaucomatous Changes Using Only One Optic Nerve Head Scan Per Exam

David J. Kriegman, Christopher Bowd, Linda M. Zangwill, 2010 .

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020, Translational vision science & technology.

In vivo imaging of murine retinal ganglion cells

Robert N. Weinreb, Jonathan G. Crowston, Dirk-Uwe Bartsch, 2008, Journal of Neuroscience Methods.

Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2016, Investigative ophthalmology & visual science.

Estimated retinal ganglion cell counts in glaucomatous eyes with localized retinal nerve fiber layer defects.

Linda M. Zangwill, Felipe A. Medeiros, Robert N. Weinreb, 2013, American journal of ophthalmology.

Hypothesis-independent pathway analysis implicates GABA and Acetyl-CoA metabolism in primary open-angle glaucoma and normal-pressure glaucoma

Margaret A. Pericak-Vance, Robert N. Weinreb, Peter Kraft, 2014, Human Genetics.

Detection of Glaucoma Progression in Individuals of African Descent Compared With Those of European Descent

Linda M. Zangwill, Felipe A. Medeiros, Robert N. Weinreb, 2018, JAMA ophthalmology.

Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.

Dominique Genoud, Felipe A. Medeiros, Robert N. Weinreb, 2018, American journal of ophthalmology.

Arterial spin labeling fMRI measurements of decreased blood flow in primary visual cortex correlates with decreased visual function in human glaucoma

Christopher Bowd, Linda M. Zangwill, Pamela A. Sample, 2012, Vision Research.

Intraocular pressure : reports and consensus statements of the 4th global AIGS consensus meeting on Intraocular pressure

Robert N. Weinreb, R. Weinreb, Aigs, 2007 .

Diurnal Variation of Optical Coherence Tomography Measurements of Static and Dynamic Anterior Segment Parameters

Robert N. Weinreb, Benjamin Y. Xu, R. Weinreb, 2017, Journal of glaucoma.

Retinotopic organization of primary visual cortex in glaucoma: Comparing fMRI measurements of cortical function with visual field loss

Christopher Bowd, Linda M. Zangwill, Pamela A. Sample, 2007, Progress in Retinal and Eye Research.

Measurement Floors and Dynamic Ranges of OCT and OCT Angiography in Glaucoma.

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2019, Ophthalmology.

Anterior Lamina Cribrosa Insertion in Primary Open-Angle Glaucoma Patients and Healthy Subjects

Robert N. Weinreb, Jean Martial Mari, Michaël J. A. Girard, 2014, PloS one.

Glaucomatous Patterns in Frequency Doubling Technology (FDT) Perimetry Data Identified by Unsupervised Machine Learning Classifiers

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014, PloS one.

Comparison of Visual Field Severity Classification Systems for Glaucoma

Linda M. Zangwill, Pamela A. Sample, Robert N. Weinreb, 2012, Journal of glaucoma.

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2018, Investigative ophthalmology & visual science.

Ophthalmic drug discovery: novel targets and mechanisms for retinal diseases and glaucoma

Robert N. Weinreb, Kang Zhang, Liangfang Zhang, 2012, Nature Reviews Drug Discovery.

Quantitative assessment of the optic nerve head with the laser tomographic scanner

Robert N. Weinreb, Josef F. Bille, Andreas W. Dreher, 2005, International Ophthalmology.

Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a variability and diagnostic performance study.

Robert N. Weinreb, Guihua Xu, Carol Y. Cheung, 2010, Ophthalmology.

Evaluation of the Influence of Corneal Biomechanical Properties on Intraocular Pressure Measurements Using the Ocular Response Analyzer

Felipe A. Medeiros, Robert N. Weinreb, F. Medeiros, 2006, Journal of glaucoma.