Fractal dimension, only a fraction of the truth? - Fritz Albregtsen; Birgitte Nielsen; Yogesan Kanagasingam (ICPR (3), 1992)

The Application of Mutual Information to the Registration of Stereo and Temporal Images of the Retina. - Nicola Ritter; Robyn A. Owens; Yogesan Kanagasingam; Paul P. Van Saarloos (Australian Joint Conference on Artificial Intelligence, 1997)

Texture analysis of retinal images to determine nerve fibre loss. - Yogesan Kanagasingam; Robert H. Eikelboom; Christopher J. Barry (ICPR, 1998)

Color adjustment techniques to improve utility of stereo flicker chronoscopy and chronometry assessment of serial optic disk photographs in glaucoma patients. - Robert H. Eikelboom; Yogesan Kanagasingam; Christopher J. Barry; Ludmila Jitskaia; Phillip H. House; William H. Morgan (Image Processing, 1999)

The reengineering of a software system for glaucoma analysis. - Ryan George Fraser; Jocelyn Armarego; Yogesan Kanagasingam (Comput. Methods Programs Biomed., 2005)

Automatic Dry Eye Detection. - Tamir Yedidya; Richard I. Hartley; Jean-Pierre Guillon; Yogesan Kanagasingam (MICCAI (1), 2007)

Detection of the tear meniscus shape using asymmetric graph-cuts. - Tamir Yedidya; Richard I. Hartley; Jean-Pierre Guillon; Yogesan Kanagasingam (ISBI, 2010)

A mobile-health system to manage Chronic Obstructive Pulmonary Disease patients at home. - Hang Ding; Yuben Moodley; Yogesan Kanagasingam; Mohan Karunanithi (EMBC, 2012)

Retinal image enhancement and registration for the evaluation of longitudinal changes. - Di Xiao 004; Shaun Frost; Janardhan Vignarajan; Jane Lock; Mei-Ling Tay-Kearney; Yogesan Kanagasingam (Computer-Aided Diagnosis, 2012)

Drusen quantification for early identification of age related macular degeneration (AMD) using color fundus imaging. - Alauddin Bhuiyan; Chandan K. Karmakar; Di Xiao 004; Kotagiri Ramamohanarao; Yogi Kanagasingam (EMBC, 2013)

Region-based multi-step optic disk and cup segmentation from color fundus image. - Di Xiao 004; Jane Lock; Javier Moreno Manresa; Janardhan Vignarajan; Mei-Ling Tay-Kearney; Yogesan Kanagasingam (Computer-Aided Diagnosis, 2013)

Retinal artery and venular caliber grading: A semi-automated evaluation tool. - Alauddin Bhuiyan; Chandan K. Karmakar; Ryo Kawasaki; Ecosse Lamoureux; Kotagiri Ramamohanarao; Yogesan Kanagasingam; Tien Yin Wong (Comput. Biol. Medicine, 2014)

Establishing an indigenous tele-eye care service. - Yogesan Kanagasingam; Justin R. Boyle; Janardhan Vignarajan; Di Xiao 004; Ming Zhang (EMBC, 2015)

Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine. - Shuang Yu; Di Xiao 004; Yogesan Kanagasingam (EMBC, 2016)

Design of a Tele-Ophthalmology System for Comprehensive Eye Examination and DR Screening and Its Preliminary Implementation. - Di Xiao 004; Janardhan Vignarajan; Tingting Chen; Tiantian Ye; Baixiang Xiao; Nathan Congdon; Yogesan Kanagasingam (ICOST, 2016)

Detection and measurement of retinal blood vessel pulsatile motion. - Di Xiao 004; Shaun Frost; Janardhan Vignarajan; Dong An; Mei-Ling Tay-Kearney; Yogi Kanagasingam (Computer-Aided Diagnosis, 2016)

Improvement of retinal blood vessel detection by spur removal and Gaussian matched filtering compensation. - Di Xiao 004; Janardhan Vignarajan; Dong An; Mei-Ling Tay-Kearney; Yogi Kanagasingam (Computer-Aided Diagnosis, 2016)

A Two-Step Approach for Longitudinal Registration of Retinal Images. - Sajib Kumar Saha; Di Xiao 004; Shaun Frost; Yogesan Kanagasingam (J. Medical Syst., 2016)

Retinal hemorrhage detection by rule-based and machine learning approach. - Di Xiao 004; Shuang Yu; Janardhan Vignarajan; Dong An; Mei-Ling Tay-Kearney; Yogi Kanagasingam (EMBC, 2017)

Exudate detection for diabetic retinopathy with convolutional neural networks. - Shuang Yu; Di Xiao 004; Yogesan Kanagasingam (EMBC, 2017)

Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening. - Sajib Kumar Saha; Basura Fernando; Jorge Cuadros; Di Xiao 004; Yogesan Kanagasingam (CoRR, 2017)

Biometric authentication system using retinal vessel pattern and geometric hashing. - Alauddin Bhuiyan; Md. Akter Hussain; Ajmal S. Mian; Tien Yin Wong; Kotagiri Ramamohanarao; Yogesan Kanagasingam (IET Biom., 2017)

Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration. - Sultan Mohammad Mohaimin; Sajib Kumar Saha; Alve Mahamud Khan; Abu Shamim Mohammad Arif; Yogesan Kanagasingam (IET Image Process., 2018)

Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine. - Sajib Kumar Saha; Basura Fernando; Jorge Cuadros; Di Xiao 004; Yogesan Kanagasingam (J. Digit. Imaging, 2018)

A Novel Method for Correcting Non-uniform/Poor Illumination of Color Fundus Photographs. - Sajib Kumar Saha; Di Xiao 004; Yogesan Kanagasingam (J. Digit. Imaging, 2018)

Performance Evaluation of State-of-the-Art Local Feature Detectors and Descriptors in the Context of Longitudinal Registration of Retinal Images. - Sajib Kumar Saha; Di Xiao 004; Shaun Frost; Yogesan Kanagasingam (J. Medical Syst., 2018)

A novel method for automated correction of non-uniform/poor illumination of retinal images without creating false artifacts. - Sajib Saha; Alexander Fletcher; Di Xiao 004; Yogesan Kanagasingam (J. Vis. Commun. Image Represent., 2018)

Machine Learning Based Automatic Neovascularization Detection on Optic Disc Region. - Shuang Yu; Di Xiao 004; Yogesan Kanagasingam (IEEE J. Biomed. Health Informatics, 2018)

A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs. - Md. Abu Sayed; Sajib Saha; G. M. Atiqur Rahaman; Tanmai K. Ghosh; Yogesan Kanagasingam (AIME, 2019)

Haar Pattern Based Binary Feature Descriptor for Retinal Image Registration. - Sajib Saha; Yogesan Kanagasingam (DICTA, 2019)

Retinal Blood Vessel Segmentation: A Semi-supervised Approach. - Tanmai K. Ghosh; Sajib Saha; G. M. Atiqur Rahaman; Md. Abu Sayed; Yogesan Kanagasingam (IbPRIA (2), 2019)

An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration. - Sarder Tazul Islam; Sajib Saha; G. M. Atiqur Rahaman; Deep Dutta; Yogesan Kanagasingam (IbPRIA (1), 2019)

Color fundus image registration techniques and applications for automated analysis of diabetic retinopathy progression: A review. - Sajib Kumar Saha; Di Xiao 004; Alauddin Bhuiyan; Tien Yin Wong; Yogesan Kanagasingam (Biomed. Signal Process. Control., 2019)

Robust optic disc and cup segmentation with deep learning for glaucoma detection. - Shuang Yu; Di Xiao 004; Shaun Frost; Yogesan Kanagasingam (Comput. Medical Imaging Graph., 2019)

Major automatic diabetic retinopathy screening systems and related core algorithms: a review. - Di Xiao 004; Alauddin Bhuiyan; Shaun Frost; Janardhan Vignarajan; Mei-Ling Tay-Kearney; Yogesan Kanagasingam (Mach. Vis. Appl., 2019)

Visualizing and Understanding Inherent Image Features in CNN-based Glaucoma Detection. - Dhaval Vaghjiani; Sajib Saha; Yann Connan 002; Shaun Frost; Yogesan Kanagasingam (DICTA, 2020)

Teleophthalmology for the elderly population: A review of the literature. - Farhad Fatehi; Farzad Jahedi; Mei-Ling Tay-Kearney; Yogesan Kanagasingam (Int. J. Medical Informatics, 2020)

Retinal image registration using log-polar transform and robust description of bifurcation points. - Sajib Saha; G. M. Atiqur Rahaman; Sarder Tazul Islam; Masuma Akter; Shaun Frost; Yogesan Kanagasingam (Biomed. Signal Process. Control., 2021)

An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods. - Md. Abu Sayed; Sajib Saha; G. M. Atiqur Rahaman; Tanmai K. Ghosh; Yogesan Kanagasingam (IET Image Process., 2021)

The use of kiosks to improve triage efficiency in the emergency department. - Michael Jose Joseph; Matthew Summerscales; Saieesha Yogesan; Anthony Bell; Michele Genevieve; Yogesan Kanagasingam (npj Digit. Medicine, 2023)