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 | 117 | 2017 |
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 | 22 | 2019 |
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 | 20 | 2022 |
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 | 12 | 2016 |
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 | 9 | 2019 |
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 | 5 | 2022 |
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 | 1 | 2022 |
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 |