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Nishan Gunawardena
Nishan Gunawardena
PhD Candidate: School of Computer, Data and Mathematical Sciences, Western Sydney University
Verified email at westernsydney.edu.au
Title
Cited by
Cited by
Year
Applying Convolutional Neural Networks for Pre-detection of Alzheimer's Disease from Structural MRI Data
N Gunawardena, RN Rajapakse, ND Kodikara
Mechatronics and Machine Vision in Practice (M2VIP), 2017 24th International …, 2017
1222017
Eye-tracking technologies in mobile devices Using edge computing: a systematic review
N Gunawardena, JA Ginige, B Javadi
ACM Computing Surveys 55 (8), 1-33, 2022
262022
Assessing surgeons' skill level in laparoscopic cholecystectomy using eye metrics
N Gunawardena, M Matscheko, B Anzengruber, A Ferscha, ...
Proceedings of the 11th ACM Symposium on Eye Tracking Research …, 2019
232019
Moving from detection to pre-detection of Alzheimer's Disease from MRI data
N Gunawardena, RN Rajapakse, ND Kodikara, IUK Mudalige
Advances in ICT for Emerging Regions (ICTer), 2016 Sixteenth International …, 2016
122016
The Effect of Expertise on Gaze Behaviour in Laparoscopic Cholecystectomy
N Gunawardena, M Matscheko, A Bernhard, F Alois, M Schobesberger, ...
41st Annual International Conference of the IEEE Engineering in Medicine …, 2019
92019
Performance analysis of CNN models for mobile device eye tracking with edge computing
N Gunawardena, JA Ginige, B Javadi, G Lui
Procedia Computer Science 207, 2291-2300, 2022
62022
Mobile device eye tracking on dynamic visual contents using edge computing and deep learning
N Gunawardena, A Ginige, B Javadi, G Lui
2022 Symposium on Eye Tracking Research and Applications, 1-3, 2022
12022
Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation
N Gunawardena, GY Lui, JA Ginige, B Javadi
arXiv preprint arXiv:2408.12463, 2024
2024
Deep Learning based Eye Tracking on Smartphones for Dynamic Visual Stimuli
N Gunawardena, JA Ginige, B Javadi, G Lui
Procedia Computer Science 246, 3733-3742, 2024
2024
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