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K. A. Saneera Hemantha Kulathilake
K. A. Saneera Hemantha Kulathilake
Department of Computing, Faculty of Applied Sciences, Rajarata University of Sri Lanka
Verified email at as.rjt.ac.lk - Homepage
Title
Cited by
Cited by
Year
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
632023
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
302022
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
192017
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
132022
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
112015
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
62015
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
32022
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
32018
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
22014
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
12018
Improvement of coronary angiography for quantitative coronary analysis by using a computer vision technique
KASH Kulathilake
12017
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
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Articles 1–19