A review on deep learning approaches for low-dose computed tomography restoration KASH Kulathilake, NA Abdullah, AQM Sabri, KW Lai Complex & Intelligent Systems 9 (3), 2713-2745, 2023 | 76 | 2023 |
Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI ZX Lim Bing Yan, Lai Khin Wee, Haiskin Khairunnisa, Kulathilake K. A ... Frontiers in Aging Neuroscience 14, 2022 | 35 | 2022 |
Super-efficient spatially adaptive contrast enhancement algorithm for superficial vein imaging AMRR Bandara, KASH Kulathilake, PWGRMPB Giragama 2017 IEEE International Conference on Industrial and Information Systems …, 2017 | 19 | 2017 |
A review on self-adaptation approaches and techniques in medical image denoising algorithms KASH Kulathilake, NA Abdullah, AQM Sabri, AMRR Bandara, KW Lai Multimedia Tools and Applications 81 (26), 37591-37626, 2022 | 17 | 2022 |
Region growing segmentation method for extracting vessel structures from coronary cine-angiograms K Kulathilake, L Ranathunga, GR Constantine, NA Abdullah 2015 Moratuwa engineering research conference (MERCon), 142-147, 2015 | 12 | 2015 |
A segmentation method for extraction of main arteries from Coronary Cine-Angiograms KASH Kulathilake, L Ranathunga, GR Constantine, NA Abdullah 2015 Fifteenth International Conference on Advances in ICT for Emerging …, 2015 | 9 | 2015 |
Restoring Lesions in Low-Dose Computed Tomography Images of COVID-19 Using Deep Learning KASH Kulathilake, NA Abdullah, AS Lachyan, AMRR Bandara, DD Patel, ... 6th Kuala Lumpur International Conference on Biomedical Engineering 2021 …, 2022 | 3 | 2022 |
Self-controlled robot for collection of light weight waste in a ground area NAI Supasan, W Kaushalya, S Maduwantha, MGA Yasiru, ... 2018 IEEE International Conference on Information and Automation for …, 2018 | 3 | 2018 |
Visual alignment of arteries in coronary cine-angiogram using global motion stabilisation approach NAA K.A.S.H. Kulathilake, L. Ranathunga, G.R. Constantine Journal of National Science Foundation of Sri Lanka 45 (1), 41-51, 2017 | 2* | 2017 |
Reduction of Motion Disturbances in Coronary Cineangiograms through Template Matching KASH Kulathilake, L Ranathunga, GR Constantine, NA Abdullah Future Information Technology, 267-273, 2014 | 2 | 2014 |
Reduction of visual disruptions in coronary cine-angiography for better diagnostic viewing SH Kulathilake The International Journal on Advances in ICT for Emerging Regions 11 (1), 2018 | 1 | 2018 |
Improvement of coronary angiography for quantitative coronary analysis by using a computer vision technique KASH Kulathilake | 1 | 2017 |
Progress of deep learning in digital pathology detection of chest radiographs K.A. Saneera Hemantha Kulathilake, A.M. Randitha Ravimal Bandara, Abhishek ... | | 2023 |
Case Study on an Adaptive Traffic Controlling Method Using Real-time Traffic Streaming HMR Shanaka, LCP Pussella, R Rathnayake, W Ariyarathna, ... 2018 IEEE International Conference on Information and Automation for …, 2018 | | 2018 |
Improving diagnostic viewing of Coronary Cine-angiogrphy through frequency filtering based frame enhancement method WS Wajiramali, DWJ Chathurika, DAN Gunasekara, IAMS Ranasinghe, ... 2017 Seventeenth International Conference on Advances in ICT for Emerging …, 2017 | | 2017 |
Computing Lumen Diameter of Coronary Arteries Using Segmented Vessel's Geometry and Line Tracking NAA K. A. S. H. Kulathilake, L. Ranathunga, G. R. Constantine 2016 International Conference on Information Science (ICIS), 109–115, 2017 | | 2017 |
A Technique for Quantitative Coronary Analysis of Cine-angiograms using Segmentation and Vessel Path Tracking NAA K. A. S. H. Kulathilake, L. Ranathunga, G. R. Constantine 2016 International Conference on Advances in ICT for Emerging Regions (ICTer …, 2016 | | 2016 |
A Fuzzy Traffic Controller K Kulathilake A dissertation submitted for the Degree of Master ofComputer Science, 2011 | | 2011 |
Progress of deep learning in digital pathology detection of chest radiographs KASH Kulathilake, AMRR Bandara, AS Lachyan, E Chung, KW Lai IET, 0 | | |