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Yogesan Kanagasingam
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2020 – today
- 2023
- [j17]Michael Jose Joseph, Matthew Summerscales, Saieesha Yogesan, Anthony Bell, Michele Genevieve, Yogesan Kanagasingam
:
The use of kiosks to improve triage efficiency in the emergency department. npj Digit. Medicine 6 (2023) - 2021
- [j16]Sajib Saha, G. M. Atiqur Rahaman
Retinal image registration using log-polar transform and robust description of bifurcation points. Biomed. Signal Process. Control. 66: 102424 (2021) - [j15]Md. Abu Sayed
An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods. IET Image Process. 15(1): 180-190 (2021) - 2020
- [j14]Farhad Fatehi, Farzad Jahedi
Teleophthalmology for the elderly population: A review of the literature. Int. J. Medical Informatics 136: 104089 (2020) - [c22]Dhaval Vaghjiani, Sajib Saha, Yann Connan, Shaun Frost, Yogesan Kanagasingam:
Visualizing and Understanding Inherent Image Features in CNN-based Glaucoma Detection. DICTA 2020: 1-3
2010 – 2019
- 2019
- [j13]Sajib Kumar Saha, Di Xiao, Alauddin Bhuiyan, Tien Yin Wong
Color fundus image registration techniques and applications for automated analysis of diabetic retinopathy progression: A review. Biomed. Signal Process. Control. 47: 288-302 (2019) - [j12]Shuang Yu
Robust optic disc and cup segmentation with deep learning for glaucoma detection. Comput. Medical Imaging Graph. 74: 61-71 (2019) - [j11]Di Xiao
Major automatic diabetic retinopathy screening systems and related core algorithms: a review. Mach. Vis. Appl. 30(3): 423-446 (2019) - [c21]Md. Abu Sayed
A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs. AIME 2019: 347-351 - [c20]Sajib Saha, Yogesan Kanagasingam:
Haar Pattern Based Binary Feature Descriptor for Retinal Image Registration. DICTA 2019: 1-6 - [c19]Tanmai K. Ghosh, Sajib Saha, G. M. Atiqur Rahaman
Retinal Blood Vessel Segmentation: A Semi-supervised Approach. IbPRIA (2) 2019: 98-107 - [c18]Sarder Tazul Islam, Sajib Saha, G. M. Atiqur Rahaman
An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration. IbPRIA (1) 2019: 543-552 - 2018
- [j10]Sultan Mohammad Mohaimin, Sajib Kumar Saha, Alve Mahamud Khan, Abu Shamim Mohammad Arif, Yogesan Kanagasingam:
Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration. IET Image Process. 12(6): 919-927 (2018) - [j9]Sajib Kumar Saha, Di Xiao, Yogesan Kanagasingam:
A Novel Method for Correcting Non-uniform/Poor Illumination of Color Fundus Photographs. J. Digit. Imaging 31(4): 553-561 (2018) - [j8]Sajib Kumar Saha, Basura Fernando, Jorge Cuadros, Di Xiao, Yogesan Kanagasingam:
Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine. J. Digit. Imaging 31(6): 869-878 (2018) - [j7]Sajib Kumar Saha, Di Xiao, Shaun Frost
Performance Evaluation of State-of-the-Art Local Feature Detectors and Descriptors in the Context of Longitudinal Registration of Retinal Images. J. Medical Syst. 42(4): 57:1-57:11 (2018) - [j6]Sajib Saha, Alexander Fletcher, Di Xiao, Yogesan Kanagasingam:
A novel method for automated correction of non-uniform/poor illumination of retinal images without creating false artifacts. J. Vis. Commun. Image Represent. 51: 95-103 (2018) - [j5]Shuang Yu
Machine Learning Based Automatic Neovascularization Detection on Optic Disc Region. IEEE J. Biomed. Health Informatics 22(3): 886-894 (2018) - 2017
- [j4]Alauddin Bhuiyan, Md. Akter Hussain, Ajmal S. Mian
Biometric authentication system using retinal vessel pattern and geometric hashing. IET Biom. 6(2): 79-88 (2017) - [c17]Di Xiao, Shuang Yu, Janardhan Vignarajan
Retinal hemorrhage detection by rule-based and machine learning approach. EMBC 2017: 660-663 - [c16]Shuang Yu, Di Xiao, Yogesan Kanagasingam:
Exudate detection for diabetic retinopathy with convolutional neural networks. EMBC 2017: 1744-1747 - [i1]Sajib Kumar Saha, Basura Fernando, Jorge Cuadros, Di Xiao, Yogesan Kanagasingam:
Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening. CoRR abs/1703.02511 (2017) - 2016
- [j3]Sajib Kumar Saha, Di Xiao, Shaun Frost
A Two-Step Approach for Longitudinal Registration of Retinal Images. J. Medical Syst. 40(12): 277:1-277:13 (2016) - [c15]Shuang Yu, Di Xiao, Yogesan Kanagasingam:
Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine. EMBC 2016: 1324-1327 - [c14]Di Xiao, Janardhan Vignarajan, Tingting Chen, Tiantian Ye, Baixiang Xiao, Nathan Congdon, Yogesan Kanagasingam:
Design of a Tele-Ophthalmology System for Comprehensive Eye Examination and DR Screening and Its Preliminary Implementation. ICOST 2016: 237-249 - [c13]Di Xiao, Shaun Frost
Detection and measurement of retinal blood vessel pulsatile motion. Medical Imaging: Computer-Aided Diagnosis 2016: 97852C - [c12]Di Xiao, Janardhan Vignarajan, Dong An, Mei-Ling Tay-Kearney, Yogi Kanagasingam:
Improvement of retinal blood vessel detection by spur removal and Gaussian matched filtering compensation. Medical Imaging: Computer-Aided Diagnosis 2016: 97852E - 2015
- [c11]Yogesan Kanagasingam, Justin R. Boyle
Establishing an indigenous tele-eye care service. EMBC 2015: 1608-1611 - 2014
- [j2]Alauddin Bhuiyan, Chandan K. Karmakar
Retinal artery and venular caliber grading: A semi-automated evaluation tool. Comput. Biol. Medicine 44: 1-9 (2014) - 2013
- [c10]Alauddin Bhuiyan, Chandan K. Karmakar
Drusen quantification for early identification of age related macular degeneration (AMD) using color fundus imaging. EMBC 2013: 7392-7395 - [c9]Di Xiao, Jane Lock, Javier Moreno Manresa, Janardhan Vignarajan
Region-based multi-step optic disk and cup segmentation from color fundus image. Medical Imaging: Computer-Aided Diagnosis 2013: 86702H - 2012
- [c8]Hang Ding
A mobile-health system to manage Chronic Obstructive Pulmonary Disease patients at home. EMBC 2012: 2178-2181 - [c7]Di Xiao, Shaun Frost
Retinal image enhancement and registration for the evaluation of longitudinal changes. Medical Imaging: Computer-Aided Diagnosis 2012: 83152O - 2010
- [c6]Tamir Yedidya, Richard I. Hartley, Jean-Pierre Guillon, Yogesan Kanagasingam:
Detection of the tear meniscus shape using asymmetric graph-cuts. ISBI 2010: 944-947
2000 – 2009
- 2007
- [c5]Tamir Yedidya, Richard I. Hartley, Jean-Pierre Guillon, Yogesan Kanagasingam:
Automatic Dry Eye Detection. MICCAI (1) 2007: 792-799 - 2005
- [j1]Ryan George Fraser, Jocelyn Armarego, Yogesan Kanagasingam:
The reengineering of a software system for glaucoma analysis. Comput. Methods Programs Biomed. 79(2): 97-109 (2005)
1990 – 1999
- 1999
- [c4]Robert H. Eikelboom, Yogesan Kanagasingam, Christopher J. Barry, Ludmila Jitskaia, Phillip H. House, William H. Morgan:
Color adjustment techniques to improve utility of stereo flicker chronoscopy and chronometry assessment of serial optic disk photographs in glaucoma patients. Medical Imaging: Image Processing 1999 - 1998
- [c3]Yogesan Kanagasingam, Robert H. Eikelboom
Texture analysis of retinal images to determine nerve fibre loss. ICPR 1998: 1665-1667 - 1997
- [c2]Nicola Ritter, Robyn A. Owens, Yogesan Kanagasingam, Paul P. Van Saarloos:
The Application of Mutual Information to the Registration of Stereo and Temporal Images of the Retina. Australian Joint Conference on Artificial Intelligence 1997: 67-76 - 1992
- [c1]Fritz Albregtsen, Birgitte Nielsen, Yogesan Kanagasingam:
Fractal dimension, only a fraction of the truth? ICPR (3) 1992: 733-736
Coauthor Index
aka: Sajib Kumar Saha
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