Sarah Barman

发表

Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification

Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, 2014, International Journal of Computer Assisted Radiology and Surgery.

Automatic exudate detection with a support vector machine classifier

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2008 .

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach

Paolo Remagnino, Muhammad Moazam Fraz, Alicja R. Rudnicka, 2013, Comput. Medical Imaging Graph..

Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy

Jamshid Dehmeshki, Muhammad Moazam Fraz, Sarah Barman, 2015, Comput. Medical Imaging Graph..

A review of ant algorithms

Dorothy Ndedi Monekosso, Paolo Remagnino, Sarah Barman, 2009, Expert Syst. Appl..

Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms

Dorothy Ndedi Monekosso, Paolo Remagnino, Sarah Barman, 2010, DARS.

Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort

Alicja R. Rudnicka, Christopher G. Owen, Sarah Barman, 2017, Comput. Biol. Medicine.

Modeling uncertainty in classification design of a computer-aided detection system

Jamshid Dehmeshki, Salah D. Qanadli, Sarah Barman, 2010, Medical Imaging.

An approach to localize the retinal blood vessels using bit planes and centerline detection

Bunyarit Uyyanonvara, Paolo Remagnino, Muhammad Moazam Fraz, 2012, Comput. Methods Programs Biomed..

Shape and Texture Based Plant Leaf Classification

Paolo Remagnino, Sarah Barman, Thibaut Beghin, 2010, ACIVS.

Computer vision algorithms applied to retinal vessel segmentation and quantification of vessel caliber

Muhammad Moazam Fraz, Sarah Barman, Muhammad Moazam Fraz, 2014 .

Maximum Likelihood Retinal Blood Vessel Detection by Scale–Space Filtering

Sarah Barman, S. T. Clay, Carl Paterson, 2005 .

Ensemble classification applied to retinal blood vessel segmentation: theory and implementation

Sarah Barman, Muhammad Moazam Fraz, 2014 .

Image quality assessment

Christopher G. Owen, Sarah Barman, R. A. Welikala, 2019, Computational Retinal Image Analysis.

A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features

Bunyarit Uyyanonvara, Sergio A. Velastin, Paolo Remagnino, 2011, 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing

Bunyarit Uyyanonvara, Paolo Remagnino, Muhammad Moazam Fraz, 2011, ISVC.

Ensemble classification applied to retinal blood vessel segmentation: theory and implementation

Muhammad Moazam Fraz, Sarah Barman, M. Fraz, 2014 .

Software for the Quantification of Glistenings in Intra-Ocular Lenses

Bunyarit Uyyanonvara, Sarah Barman, Pakinee Aimmanee, 2014 .

Tutorial I: Medical image analysis

Sarah Barman, 2015, ACPR.

Automated detection of proliferative diabetic retinopathy using a modified line operator and dual classification

Jamshid Dehmeshki, Sarah Barman, Andreas Hoppe, 2014, Comput. Methods Programs Biomed..

Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2008, Comput. Medical Imaging Graph..

Comparing SVM and Naïve Bayes Classifier for Automatic Microaneurysm Detections

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2014 .

Automated detection of age-related macular degeneration for screening programmes

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2008 .

Plant Texture Classification Using Gabor Co-occurrences

Paolo Remagnino, Sarah Barman, Paul Wilkin, 2010, ISVC.

Automated Vessels Detection on Infant Retinal Images

Bunyarit Uyyanonvara, Sarah Barman, Jaruwat Jareanjit, 2004 .

Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2013, Comput. Medical Imaging Graph..

Variable size blob detection with feature stability

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2010 .

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation

Bunyarit Uyyanonvara, Paolo Remagnino, Muhammad Moazam Fraz, 2012, IEEE Transactions on Biomedical Engineering.

Comparative analysis of automatic exudate detection algorithms

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2010 .

Autonomous control laws for mobile robotic surveillance swarms

Dorothy Ndedi Monekosso, Paolo Remagnino, Sarah Barman, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles

Bunyarit Uyyanonvara, Paolo Remagnino, Muhammad Moazam Fraz, 2012, ICIAR.

Image quality assessment in retinal images of premature infants taken with RetCam 120 digital fundus camera

Sarah Barman, Alistair R. Fielder, A Toniappa, 2005 .

Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2009, Sensors.

Application of an Adaptive Local Contrast Enhancement Technique to Retinal Images of Premature Infants Taken With the Retcam 120TM Digital Fundus Camera

Sarah Barman, Merrick J. Moseley, A Toniappa, 2002 .

Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation

Bunyarit Uyyanonvara, Sarah Barman, Akara Thammastitkul, 2020, Int. J. Comput. Aided Eng. Technol..

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2009, Ottawa, Canada, July 8-10, 2009

Zeeshan-ul-hassan Usmani, Hao Wu, Kathleen M. Carley, 2009, IEEE Symposium on Computational Intelligence for Security and Defense Applications.

QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology

Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, 2015, Expert Syst. Appl..

Towards autonomous robot swarms for multi-target localisation and monitoring with applications to counter IED operations

Dorothy Ndedi Monekosso, Paolo Remagnino, Sarah Barman, 2011, Int. J. Intell. Def. Support Syst..

Automatic quantification of posterior capsule opacification

Bunyarit Uyyanonvara, David J. Spalton, Sarah Barman, 2000, Medical Imaging: Image Processing.

Application of Morphological Bit Planes in Retinal Blood Vessel Extraction

Muhammad Moazam Fraz, Sarah Barman, Abdul Basit, 2013, Journal of Digital Imaging.

A Fuzzy Logic System for Classification of the Lung Nodule in Digital Images in Computer Aided Detection

Jamshid Dehmeshki, Salah D. Qanadli, Sarah Barman, 2010, 2010 Fourth International Conference on Digital Society.

Automatic Tortuosity-Based Retinopathy of Prematurity Screening System

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2008, IEICE Trans. Inf. Syst..

Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation

Bunyarit Uyyanonvara, Sarah Barman, Akara Thammastitkul, 2020, Int. J. Comput. Aided Eng. Technol..

Parameter-free optic disc detection

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2011, Comput. Medical Imaging Graph..

Comparative analysis of automatic exudate detection with traditional and machine learning methods

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2009 .

Machine learning approach to automatic exudate detection in retinal images from diabetic patients

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2010 .

Drusen Detection based on Scale-space with Feature Stability

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2011, MIUA.

Maximum likelihood estimation of vessel parameters from scale space analysis

Sarah Barman, J. Ng, S. T. Clay, 2010, Image Vis. Comput..

Optic Disc Recognition in Images Taken of Premature Infants Using the RetCam 120TM Digital Fundus Camera

Sarah Barman, Merrick J. Moseley, A Toniappa, 2002 .

The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms

Paolo Remagnino, Sarah Barman, Paul Wilkin, 2010, ACIVS.

Automated arteriole and venule recognition in retinal images using Ensemble classification

Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

A Genetic type-2 fuzzy logic system for pattern recognition in computer aided detection systems

Jamshid Dehmeshki, Salah D. Qanadli, Sarah Barman, 2010, International Conference on Fuzzy Systems.

An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System

Jamshid Dehmeshki, Tim J. Ellis, Salah D. Qanadli, 2012, IEEE Transactions on Fuzzy Systems.

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies

Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, 2016, Comput. Biol. Medicine.

Microaneurysm detection in retinal images using an ensemble classifier

Alicja R. Rudnicka, Christopher G. Owen, Sarah Barman, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Modeling uncertainty in classification design of computer aided detection

Jamshid Dehmeshki, Sarah Barman, Rahil Hosseini, 2010 .

A Model Based Approach for Vessel Caliber Measurement in Retinal Images

Paolo Remagnino, Muhammad Moazam Fraz, Alicja R. Rudnicka, 2012, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems.

Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification

Muhammad Moazam Fraz, Sarah Barman, Mian M. Hamayun, 2017, Biomed. Signal Process. Control..

Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns

Dorothy Ndedi Monekosso, Paolo Remagnino, Sarah Barman, 2008, ANTS Conference.

Enhanced support region for scale-space blob detection

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2009 .

Automatic optic disc detection for ROP images using scale-space theory

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2010 .

Object detection with feature stability over scale space

Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, 2011, J. Vis. Commun. Image Represent..

Venation Pattern Analysis of Leaf Images

Paolo Remagnino, Sarah Barman, Paul Wilkin, 2006, ISVC.

Blood vessel segmentation methodologies in retinal images - A survey

Bunyarit Uyyanonvara, Paolo Remagnino, Muhammad Moazam Fraz, 2012, Comput. Methods Programs Biomed..

Automated retinal vessel recognition and measurements on large datasets

Muhammad Moazam Fraz, Alicja R. Rudnicka, Christopher G. Owen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Corrections to “An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System”

Jamshid Dehmeshki, Sarah Barman, Rahil Hosseini, 2019, IEEE Transactions on Fuzzy Systems.

Proceedings of the British Machine Vision Conference 2004

Tim Ellis, Sarah Barman, Andreas Hoppe, 2005 .

Improvements in interpretation of posterior capsular opacification (PCO) images

Sarah Barman, Andrew P. Paplinski, James Frederick Boyce, 2000, Medical Imaging: Image Processing.

Comparative Analysis of Automatic Exudate Detection between Machine Learning and Traditional Approaches

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2009, IEICE Trans. Inf. Syst..

The establishment of a multi-source dataset of images on common oral lesions

Paolo Remagnino, Sarah Barman, Chee Seng Chan, 2021 .

DIFFERING MATCHED FILTER RESPONSIVITY FOR THE DETECTION OF PROLIFERATIVE DIABETIC RETINOPATHY

Jamshid Dehmeshki, Sarah Barman, R. A. Welikala, 2013 .

Automatic Microaneurysm Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Mathematical Morphology Methods

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2011 .

Fine Microaneurysm Detection from Non-dilated Diabetic Retinopathy Retinal Images Using a Hybrid Approach

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, .

Computer Vision Techniques Applied for Diagnostic Analysis of Retinal OCT Images: A Review

Muhammad Moazam Fraz, Sarah Barman, M. Fraz, 2016, Archives of Computational Methods in Engineering.

Automatic Microaneurysm Quantification for Diabetic Retinopathy Screening

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2013 .

Fine Exudate Detection using Morphological Reconstruction Enhancement

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2010 .

Automatic exudate detection for diabetic retinopathy screening

Bunyarit Uyyanonvara, Sarah Barman, Akara Sopharak, 2009 .