All Outputs (6)

GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M., & Zheng, Y. (2016, December). GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK

Glaucoma is one of the common causes of blindness worldwide. It leads to deterioration in vision and quality of life if it is not cured early. This paper addresses the feasibility of developing an automatic feature learning technique for detecting gl... Read More about GLAUCOMA DIAGNOSIS USING FEATURE LEARNING BASED ON CONVOLUTIONAL NEURAL NETWORK.

Modelling the Restoration of Activity in a Biological Neural Network (2016)
Presentation / Conference
(2016, July). Modelling the Restoration of Activity in a Biological Neural Network. Presented at International Joint Conference on Neural Networks, Vancouver

The Trade-off between Usability and Security in the Context of eGovernment: A Mapping Study (2016)
Presentation / Conference
Alshamsi, A., Williams, N., & Andras, P. (2016, July). The Trade-off between Usability and Security in the Context of eGovernment: A Mapping Study. Presented at 30th British Human Computer Interaction Conference, Bournemouth

From Uruk to Ur: Automated Matching of Virtual Tablet Fragments (2016)
Presentation / Conference
Gehlken, E., Collins, T., Woolley, S., Hanes, L., Lewis, A., Hernandez Munoz, L., & Ch’ng, E. (2016, July). From Uruk to Ur: Automated Matching of Virtual Tablet Fragments. Paper presented at 62nd Rencontre Assyriologique Internationale 2016, Ur in the Twenty-First Century CE, Philadelphia

Social Learning, Environmental Adversity and the Evolution of Cooperation (2016)
Presentation / Conference
(2016, July). Social Learning, Environmental Adversity and the Evolution of Cooperation. Presented at Artificial Life XV: The Fifteenth International Conference on the Synthesis and Simulation of Living Systems, Cancun

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Parry, D., Leach, S., & Zheng, Y. (2016, June). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. Poster presented at 26th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec), Manchester, UK

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes.
Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.