Predicting Inpatient Admissions From Emergency Department Triage Using Machine Learning: A Systematic Review

Authors: Williams, Ethan L. ^{a, b, ∗}, Huynh, Daniel ^c, Estai, Mohamed ^d, Sinha, Toshi ^a, Summerscales, Matthew ^b, Kanagasingam, Yogesan ^{a, b}

Source: In Mayo Clinic Proceedings: Digital Health March 2025 3(1)

Haar Pattern Based Binary Feature Descriptor for Retinal Image Registration

Authors: Saha, Sajib, Kanagasingam, Yogesan

Source: 2019 Digital Image Computing: Techniques and Applications (DICTA) Digital Image Computing: Techniques and Applications (DICTA), 2019. :1-6 Dec, 2019

Relation: 2019 Digital Image Computing: Techniques and Applications (DICTA)

Exudate detection for diabetic retinopathy with convolutional neural networks

Authors: Yu, Shuang, Xiao, Di, Kanagasingam, Yogesan

Source: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE. :1744-1747 Jul, 2017

Relation: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine

Authors: Yu, Shuang, Xiao, Di, Kanagasingam, Yogesan

Source: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. :1324-1327 Aug, 2016

Relation: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Establishing an indigenous tele-eye care service

Authors: Kanagasingam, Yogesan, Boyle, Justin, Vignarajan, Janardhan, Xiao, Di, Zhang, Ming

Source: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. :1608-1611 Aug, 2015

Relation: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Mobile photographic screening for dental caries in children: Diagnostic performance compared to unaided visual dental examination

Authors: Estai, Mohamed, Kanagasingam, Yogesan, Mehdizadeh, Maryam, Vignarajan, Janardhan, Norman, Richard, Huang, Boyen, Spallek, Heiko, Irving, Michelle, Arora, Amit, Kruger, Estie, Tennant, Marc

Source: Journal of public health dentistry. 82(2):166-175

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100153884374.0x000001&indx=1&recIds=ETOCvdc_100153884374.0x000001

Detection of the tear meniscus shape using asymmetric graph-cuts

Authors: Yedidya, Tamir, Hartley, Richard, Guillon, Jean-Pierre, Kanagasingam, Yogesan

Source: 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on. :944-947 Apr, 2010

Relation: 2010 7th IEEE International Symposium on Biomedical Imaging (ISBI 2010)

Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

Authors: Saha, Sajib Kumar, Fernando, Basura, Cuadros, Jorge, Xiao, Di, Kanagasingam, Yogesan

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/1703.02511

Retinal image registration using log-polar transform and robust description of bifurcation points

Authors: Saha, Sajib ^*, Rahaman, G.M. Atiqur, Islam, Tazul, Akter, Masuma, Frost, Shaun, Kanagasingam, Yogesan

Source: In Biomedical Signal Processing and Control April 2021 66

Microvascular changes at different stages of chronic kidney disease

Authors: Kannenkeril, Dennis, Frost, Shaun, Nolde, Janis M., Kiuchi, Márcio Galindo, Carnagarin, Revathy, Lugo‐Gavidia, Leslie Marisol, Chan, Justine, Joyson, Anu, Matthews, Vance B., Herat, Lakshini Y., Azzam, Omar, Mehdizadeh, Maryam, Vignarajan, Janardhan, Kanagasingam, Yogesan, Schlaich, Markus P.

Source: Journal of clinical hypertension. 23(2):309-316

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100120122109.0x000001&indx=1&recIds=ETOCvdc_100120122109.0x000001

An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods

Authors: Sayed, Md. Abu, Saha, Sajib, Rahaman, G. M. Atiqur, Ghosh, Tanmai K., Kanagasingam, Yogesan

Source: IET image processing. 15(1):180-190

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100163064189.0x000001&indx=1&recIds=ETOCvdc_100163064189.0x000001

Closing Editorial for Smart Healthcare: Technologies and Applications.

Authors: Kou, Gang, Ding, Shuai, Luo, Li, Lu, Tian, Kanagasingam, Yogesan

Source: Healthcare (2227-9032); Dec2024, Vol. 12 Issue 23, p2363, 7p

Subject Terms: SERIAL publications, MEDICAL informatics, MEDICAL technology, MEDICAL care, HEALTH care industry

Retinal Blood Vessel Segmentation: A Semi-supervised Approach
Pattern recognition and image analysis (Iberian conference)

Authors: Ghosh, Tanmai K., Saha, Sajib, Rahaman, G. M. Atiqur, Abu Sayed, Md., Kanagasingam, Yogesan

Source: Lecture notes in computer science. 11868:98-107

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN605585393&indx=1&recIds=ETOCCN605585393

An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration
Pattern recognition and image analysis (Iberian conference)

Authors: Islam, Sarder Tazul, Saha, Sajib, Rahaman, G. M. Atiqur, Dutta, Deep, Kanagasingam, Yogesan

Source: Lecture notes in computer science. 11867:543-552

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN605585230&indx=1&recIds=ETOCCN605585230

A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs
Artificial intelligence in medicine (Conference)

Authors: Abu Sayed, Md., Saha, Sajib, Rahaman, G. M. Atiqur, Ghosh, Tanmai K., Kanagasingam, Yogesan

Source: Lecture notes in computer science. 11526:347-354

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN605289081&indx=1&recIds=ETOCCN605289081

Teleophthalmology for the elderly population: A review of the literature

Authors: Fatehi, Farhad ^*, Jahedi, Farzad, Tay-Kearney, Mei-Ling, Kanagasingam, Yogesan

Source: In International Journal of Medical Informatics April 2020 136

Robust optic disc and cup segmentation with deep learning for glaucoma detection

Authors: Yu, Shuang, Xiao, Di, Frost, Shaun, Kanagasingam, Yogesan

Source: In Computerized Medical Imaging and Graphics June 2019 74:61-71

Color fundus image registration techniques and applications for automated analysis of diabetic retinopathy progression: A review

Authors: Saha, Sajib Kumar, Xiao, Di, Bhuiyan, Alauddin, Wong, Tien Y., Kanagasingam, Yogesan

Source: In Biomedical Signal Processing and Control January 2019 47:288-302

A resource reallocation model for school dental screening: taking advantage of teledentistry in low-risk areas

Authors: Estai, Mohamed ^*, Bunt, Stuart M., Kanagasingam, Yogesan, Kruger, Estie, Tennant, Marc

Source: In International Dental Journal August 2018 68(4):262-268

A novel method for automated correction of non-uniform/poor illumination of retinal images without creating false artifacts

Authors: Saha, Sajib, Fletcher, Alexander, Xiao, Di, Kanagasingam, Yogesan

Source: In Journal of Visual Communication and Image Representation February 2018 51:95-103