Fundus retinal image analyses for screening and diagnosing diabetic retinopathy, macular edema, and glaucoma disorders RJ Chalakkal, WH Abdulla, SC Hong Diabetes and fundus OCT, 59-111, 2020 | 44 | 2020 |
Quality and content analysis of fundus images using deep learning RJ Chalakkal, WH Abdulla, SS Thulaseedharan Computers in biology and medicine 108, 317-331, 2019 | 43 | 2019 |
Automatic detection and segmentation of optic disc and fovea in retinal images RJ Chalakkal, WH Abdulla, SS Thulaseedharan IET Image Processing 12 (11), 2100-2110, 2018 | 42 | 2018 |
Comparative analysis of university of Auckland diabetic retinopathy database RJ Chalakkal, WH Abdulla, S Sinumol Proceedings of the 9th International Conference on Signal Processing Systems …, 2017 | 31 | 2017 |
A systematic review of current teleophthalmology services in New Zealand compared to the four comparable countries of the United Kingdom, Australia, United States of America … L Walsh, SC Hong, RJ Chalakkal, KC Ogbuehi Clinical Ophthalmology, 4015-4027, 2021 | 25 | 2021 |
Automatic segmentation of retinal vasculature RJ Chalakkal, W Abdulla 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 23 | 2017 |
An efficient framework for automated screening of Clinically Significant Macular Edema R Chalakkal, F Hafiz, W Abdulla, A Swain Computers in biology and medicine 130, 104128, 2021 | 21 | 2021 |
Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a narrative … S Munjral, M Maindarkar, P Ahluwalia, A Puvvula, A Jamthikar, T Jujaray, ... Diagnostics 12 (5), 1234, 2022 | 19 | 2022 |
Improved vessel segmentation using curvelet transform and line operators RJ Chalakkal, WH Abdulla 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 19 | 2018 |
Curvelet transform based retinal image analysis RC Johnson, V Paul, N Naveen, SJ Padmagireesan International Journal of Electrical and Computer Engineering (IJECE) 3 (3 …, 2013 | 13 | 2013 |
On deep learning based algorithms for detection of diabetic retinopathy H Thanati, RJ Chalakkal, WH Abdulla 2019 International Conference on Electronics, Information, and Communication …, 2019 | 12 | 2019 |
A new approach to non-mydriatic portable fundus imaging F Hafiz, RJ Chalakkal, SC Hong, G Linde, R Hu, B O’Keeffe, Y Boobin Expert Review of Medical Devices 19 (4), 303-314, 2022 | 11 | 2022 |
Performance analysis of magnetic resonance image denoising using contourlet transform SJ Padmagireeshan, RC Johnson, AA Balakrishnan, V Paul, AV Pillai, ... 2013 Third International Conference on Advances in Computing and …, 2013 | 11 | 2013 |
University of Auckland Diabetic Retinopathy (UoA-DR) Database-END USER LICENCE AGREEMENT W Abdulla, RJ Chalakkal The University of Auckland, 2018 | 8 | 2018 |
Diabetes and Fundus OCT RJ Chalakkal, WH Abdulla, SC Hong Elsevier, 2020 | 7 | 2020 |
Multi-image stitching for smartphone-based retinal fundus stitching R Hu, RJ Chalakkal, G Linde, JS Dhupia 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2022 | 5 | 2022 |
Comparison of curvelet and contourlet transforms for retinal analysis RC Johnson, SJ Padmagireesan, A Raheem, AV Pillai 2012 Annual IEEE India Conference (INDICON), 1214-1217, 2012 | 5 | 2012 |
Detection and localization of texts from natural scene images using scale space and morphological operations AV Pillai, AA Balakrishnan, RA Simon, RC Johnson, S Padmagireesan 2013 International Conference on Circuits, Power and Computing Technologies …, 2013 | 4 | 2013 |
Automatic Retinal Image Analysis to Triage Retinal Pathologies R Chalakkal PhD Thesis-University of Auckland, 2019 | 2 | 2019 |
Automatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images G Linde, R Chalakkal, L Zhou, JL Huang, B O’Keeffe, D Shah, S Davidson, ... Diagnostics 13 (17), 2810, 2023 | 1 | 2023 |