David F. Garway-Heath

发表

Optic nerve atrophy and retinal nerve fibre layer thinning following optic neuritis: Evidence that axonal loss is a substrate of MRI-detected atrophy

S. Anand Trip, Patricio G. Schlottmann, Stephen J. Jones, 2006, NeuroImage.

Evaluating A ‘Random Forest’ Decision Tree Classifier To Identify Eyes With Glaucomatous Visual Field Loss Applied To Measurements From Multiple Imaging Devices

Richard A. Russell, David F. Garway-Heath, R Asaoka, 2012 .

Are Certain Eye Movement Patterns Linked To Better Face Recognition Performance In Patients With Central Glaucomatous Visual Field Loss

David P. Crabb, David F. Garway-Heath, Fiona C Glen, 2012 .

Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials

Sébastien Ourselin, David F. Garway-Heath, Marco Lorenzi, 2019, MICCAI.

An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data

Jason Crampton, David F. Garway-Heath, Stephen Swift, 2007, GECCO '07.

Aligning Scan Acquisition Circles in Optical Coherence Tomography Images of The Retinal Nerve Fibre Layer

David P. Crabb, Patricio G. Schlottmann, David F. Garway-Heath, 2011, IEEE Transactions on Medical Imaging.

Developing and Evaluating Threshold Algorithms for the Moorfields Motion Displacement Test (MDT)

David P. Crabb, David F. Garway-Heath, Ananth C. Viswanathan, 2008 .

Developing and Testing a Heidelberg Retina Tomograph Image Simulation Method for Application to Optimise Glaucoma Progression Algorithms

David P. Crabb, David F. Garway-Heath, Madhusudhanan Balasubramanian, 2009 .

Localized Glaucomatous Change Detection Using a New Permutation Test Strategy

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

Stability of retinal nerve fibre layer loss in a progressive MS cohort

David F. Garway-Heath, P. G. Schlottmann, Daniel R. Altmann, 2009 .

Gabor Fusion Master Slave Optical Coherence Tomography

Adrian Bradu, Adrian Gh. Podoleanu, Ramona Cernat, 2019, ICTON.

A Pilot Study to Provide Proof of Concept of a Novel Monochromatic Sub-Pixel Strategy for the Moorfields Motion Displacement Test (MMDT)

David P. Crabb, David F. Garway-Heath, Ananth C. Viswanathan, 2011 .

New Insights into Measurement Variability in Glaucomatous Visual Fields from Computer Modelling

Richard A. Russell, David P. Crabb, David F. Garway-Heath, 2013, PloS one.

Retinal nerve fibre layer atrophy in primary progressive multiple sclerosis

David F. Garway-Heath, Sa Trip, Apd Henderson, 2006 .

Improving predictive models of glaucoma severity by incorporating quality indicators

Steve Counsell, David F. Garway-Heath, Stephen Swift, 2014, Artif. Intell. Medicine.

A spatio-temporal Bayesian network classifier for understanding visual field deterioration

Xiaohui Liu, David F. Garway-Heath, Veronica Vinciotti, 2005, Artif. Intell. Medicine.

Updating Markov models to integrate cross-sectional and longitudinal studies

Yuanxi Li, David F. Garway-Heath, Allan Tucker, 2017, Artif. Intell. Medicine.

The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process

David P. Crabb, David F. Garway-Heath, Allan Tucker, 2011, IDA.

Improved Prediction Of Function From Structure In Glaucoma: Handling Visual Field Variability

David P. Crabb, David F. Garway-Heath, Haogang Zhu, 2012 .

Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data

Xiaohui Liu, David F. Garway-Heath, Allan Tucker, 2003, GECCO.

Structure Function Relationship in Glaucoma: Heidelberg Retinal Tomograph versus Standard Automated Perimetry, Frequency Doubling, Flicker Defined Form and Motion Detection

David P. Crabb, David F. Garway-Heath, John G. Flanagan, 2010 .

Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise

David P. Crabb, David F. Garway-Heath, Allan Tucker, 2011, Ensembles in Machine Learning Applications.

Real-time calibration-free C-scan images of the eye fundus using Master Slave swept source optical coherence tomography

Adrian Bradu, Adrian G. Podoleanu, David F. Garway-Heath, 2015, Photonics West - Biomedical Optics.

The appropriateness of luminance vs. energy as a descriptor of CRT stimulus output when measuring the temporal aspects of vision

David F. Garway-Heath, Roger S. Anderson, Margarita B. Zlatkova, 2013, SAP.

Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks

David P. Crabb, David F. Garway-Heath, Allan Tucker, 2014, IEEE Journal of Biomedical and Health Informatics.

Structure-function Relationships With a Disc-centred Visual Field Test Grid

David F. Garway-Heath, R Asaoka, Rizwan Malik, 2009 .

Enhanced Supra-Threshold Testing Algorithm: A New Tool for Rapid Detection of Visual Field Loss

David P. Crabb, David F. Garway-Heath, R. Moosavi, 2009 .

The Precision Of Five Year Forecasts Of The Visual Field Index (vfi) Using Series Of Monocular And Binocular Visual Fields

Richard A. Russell, David P. Crabb, David F. Garway-Heath, 2011 .

Aligning Sequential StratusOCTTM RNFL Scans - Solving the Problem

David P. Crabb, David F. Garway-Heath, Haogang Zhu, 2007 .

The Pseudotemporal Bootstrap for Predicting Glaucoma From Cross-Sectional Visual Field Data

David F. Garway-Heath, Allan Tucker, 2010, IEEE Transactions on Information Technology in Biomedicine.

Optic Nerve: Heidelberg Retinal Tomography

David F. Garway-Heath, Nicholas G. Strouthidis, D. Garway-Heath, 2010 .

Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies"

Yuanxi Li, David F. Garway-Heath, Allan Tucker, 2017, Artif. Intell. Medicine.