Christopher Bowd

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.

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 .

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 .

Comparing neural networks and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc.

Robert N Weinreb, Christopher Bowd, Te-Won Lee, 2002, Investigative ophthalmology & visual science.

Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects.

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2005, Investigative ophthalmology & visual science.

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.

Agreement between the Heidelberg Retina Tomograph (HRT) Stereometric Parameters Estimated Using HRT-I and HRT-II

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2011, Optometry and vision science : official publication of the American Academy of Optometry.

Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry.

Robert N Weinreb, Christopher Bowd, Te-Won Lee, 2002, Investigative ophthalmology & visual science.

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

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

Recognizing patterns of visual field loss using unsupervised machine learning

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

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 .

Coherent plaid motion and the barberpole illusion perceived with cyclopean (stereoscopic) components

Christopher Bowd, Robert Patterson, Michael Donnelly, 1996 .

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 .

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.

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).

Combining Functional and Structural Tests Improves the Diagnostic Accuracy of Relevance Vector Machine Classifiers

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2010, Journal of glaucoma.

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.

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..

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 .

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 .

Diabetic retinopathy detection from image to classification using deep convolutional neural network

Christopher Bowd, Linda M. Zangwill, Michael H. Goldbaum, 2016 .

Properties of the stereoscopic (Cyclopean) motion aftereffect

Christopher Bowd, Robert Patterson, Ray Phinney, 1994, Vision Research.

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 Framework for Detecting Glaucomatous Progression in the Optic Nerve Head of an Eye Using Proper Orthogonal Decomposition

S. Sitharama Iyengar, Christopher Bowd, Linda M. Zangwill, 2009, IEEE Transactions on Information Technology in Biomedicine.

Corneal thickness as a risk factor for visual field loss in patients with preperimetric glaucomatous optic neuropathy.

Robert N Weinreb, Christopher Bowd, Makoto Aihara, 2003, American journal of ophthalmology.

Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning

Christopher Bowd, Michael H. Goldbaum, Siamak Yousefi, 2015, AMIA.

Machine Learning Classifiers in Glaucoma

Christopher Bowd, Michael H Goldbaum, M. Goldbaum, 2008, Optometry and vision science : official publication of the American Academy of Optometry.

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.

Direction discrimination of cyclopean (stereoscopic) and luminance motion

Christopher Bowd, Robert Patterson, Michael Donnelly, 1997, Vision Research.

Clinical evaluation of the proper orthogonal decomposition framework for detecting glaucomatous changes in human subjects.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2010, Investigative ophthalmology & visual science.

The stereoscopic (cyclopean) motion aftereffect is selective for spatial frequency and orientation of disparity modulation

Christopher Bowd, Robert Patterson, Stephanie Shorter, 1999, Vision Research.

Retinal nerve fiber layer thickness measured with optical coherence tomography is related to visual function in glaucomatous eyes.

Robert N Weinreb, Christopher Bowd, Catherine Boden, 2003, Ophthalmology.

Progression of patterns (POP): a machine classifier algorithm to identify glaucoma progression in visual fields.

Tzyy-Ping Jung, Robert N Weinreb, Christopher Bowd, 2012, Investigative ophthalmology & visual science.

Short-wavelength automated perimetry results are correlated with optical coherence tomography retinal nerve fiber layer thickness measurements in glaucomatous eyes.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2004, Ophthalmology.

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

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

Agreement and repeatability for standard automated perimetry and confocal scanning laser ophthalmoscopy in the diagnostic innovations in glaucoma study.

Robert N Weinreb, Christopher Bowd, Catherine Boden, 2006, American journal of ophthalmology.

Rate and Pattern of Rim Area Loss in Healthy and Progressing Glaucoma Eyes.

Robert N Weinreb, Christopher Bowd, Akram Belghith, 2016, Ophthalmology.

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.

Cross-domain adaptation reveals that a common mechanism computes stereoscopic (cyclopean) and luminance plaid motion

Christopher Bowd, Robert Patterson, Stephanie Shorter, 2000, Vision Research.

Spectral domain-optical coherence tomography to detect localized retinal nerve fiber layer defects in glaucomatous eyes.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2009, Optics express.

Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps.

Robert N Weinreb, Christopher Bowd, Mark Christopher, 2019, Ophthalmology.

Pattern electroretinogram and psychophysical tests of visual function for discriminating between healthy and glaucoma eyes.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2010, American journal of ophthalmology.

Retinal nerve fiber layer thickness measurements with scanning laser polarimetry predict glaucomatous visual field loss.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2004, American journal of ophthalmology.

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.

Detection of progressive retinal nerve fiber layer loss in glaucoma using scanning laser polarimetry with variable corneal compensation.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2009, Investigative ophthalmology & visual science.

Fourier analysis of optical coherence tomography and scanning laser polarimetry retinal nerve fiber layer measurements in the diagnosis of glaucoma.

Robert N Weinreb, Christopher Bowd, Edward A Essock, 2003, Archives of ophthalmology.

Comparison of scanning laser polarimetry using variable corneal compensation and retinal nerve fiber layer photography for detection of glaucoma.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2004, Archives of ophthalmology.

Confocal scanning laser ophthalmoscopy classifiers and stereophotograph evaluation for prediction of visual field abnormalities in glaucoma-suspect eyes.

Robert N Weinreb, Christopher Bowd, Jiucang Hao, 2004, Investigative ophthalmology & visual science.

Occlusion contributes to temporal processing differences between crossed and uncrossed stereopsis in random-dot displays

Christopher Bowd, Robert Patterson, Stephanie Shorter, 1999, Vision Research.

Effect of Improper Scan Alignment on Retinal Nerve Fiber Layer Thickness Measurements Using Stratus Optical Coherence Tomograph

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2008, Journal of glaucoma.

Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurements.

Robert N Weinreb, Christopher Bowd, Intae Lee, 2012, Investigative ophthalmology & visual science.

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.

Localized glaucomatous change detection within the proper orthogonal decomposition framework.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2012, Investigative ophthalmology & visual science.

Effect of image quality on tissue thickness measurements obtained with spectral domain-optical coherence tomography.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2009, Optics express.

Retinotopic organization of primary visual cortex in glaucoma: a method for comparing cortical function with damage to the optic disk.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2007, Investigative ophthalmology & visual science.

Disparity tuning of the stereoscopic (cyclopean) motion aftereffect

Robert Fox, Christopher Bowd, Robert Patterson, 1996, Vision Research.

A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucoma.

Robert N Weinreb, Christopher Bowd, Christopher A Girkin, 2010, Investigative ophthalmology & visual science.

Scanning Laser Polarimetry in Monkey Eyes using Variable Corneal Polarization Compensation

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2002, 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.

The cyclopean (stereoscopic) barber pole illusion

Christopher Bowd, Robert Patterson, Michael Donnelly, 1998, Vision Research.

Use of progressive glaucomatous optic disk change as the reference standard for evaluation of diagnostic tests in glaucoma.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2005, American journal of ophthalmology.

Retinal nerve fiber layer analysis in the diagnosis of glaucoma.

Christopher Bowd, Linda M Zangwill, L. Zangwill, 2006, Current opinion in ophthalmology.

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.

Identifying glaucomatous vision loss with visual-function-specific perimetry in the diagnostic innovations in glaucoma study.

Robert N Weinreb, Christopher Bowd, Catherine Boden, 2006, Investigative ophthalmology & visual science.

The effect of disc size and severity of disease on the diagnostic accuracy of the Heidelberg Retina Tomograph Glaucoma Probability Score.

Robert N Weinreb, Christopher Bowd, Sonia Jain, 2007, Investigative ophthalmology & visual science.

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.

Comparability of retinal nerve fiber layer thickness measurements of optical coherence tomography instruments.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2005, Investigative ophthalmology & visual science.

The African Descent and Glaucoma Evaluation Study (ADAGES): design and baseline data.

Robert N Weinreb, Christopher Bowd, Sonia Jain, 2009, Archives of ophthalmology.

Association between scanning laser polarimetry measurements using variable corneal polarization compensation and visual field sensitivity in glaucomatous eyes.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2003, Archives of ophthalmology.

Comparison of HRT-3 glaucoma probability score and subjective stereophotograph assessment for prediction of progression in glaucoma.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2008, Investigative ophthalmology & visual science.

Combining structural and functional testing for detection of glaucoma.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2006, Ophthalmology.

Imaging of the optic disc and retinal nerve fiber layer: the effects of age, optic disc area, refractive error, and gender.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

Performance of confocal scanning laser tomograph Topographic Change Analysis (TCA) for assessing glaucomatous progression.

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2009, Investigative ophthalmology & visual science.

Correlation among choroidal, parapapillary, and retrobulbar vascular parameters in glaucoma.

Robert N Weinreb, Christopher Bowd, Andreas G Boehm, 2009, American journal of ophthalmology.

The structure and function relationship in glaucoma: implications for detection of progression and measurement of rates of change.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2012, Investigative ophthalmology & visual science.

The Impact of the Perimetric Measurement Scale, Sample Composition, and Statistical Method on the Structure-function Relationship in Glaucoma

Robert N Weinreb, Christopher Bowd, Pamela A Sample, 2007, Journal of glaucoma.

Fourier analysis of scanning laser polarimetry measurements with variable corneal compensation in glaucoma.

Robert N Weinreb, Christopher Bowd, Linda M Zangwill, 2003, Investigative ophthalmology & visual science.

African Descent and Glaucoma Evaluation Study (ADAGES): III. Ancestry differences in visual function in healthy eyes.

Robert N Weinreb, Christopher Bowd, Sonia Jain, 2010, Archives of ophthalmology.