6 citations · 11 across the 12 of their papers we have counts for
5 papers · 1 filter
Dual mode multispectral imaging system for food and agricultural product quality estimation
Darsha Udayanga, Ashan Serasinghe, Supun Dassanayake +4
Multispectral imaging coupled with Artificial Intelligence, Machine Learning and Signal Processing techniques work as a feasible alternative for laboratory testing, especially in f…
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi +2
In Magnetic Resonance Imaging (MRI), image acquisitions are often undersampled in the measurement domain to accelerate the scanning process, at the expense of image quality. Howeve…
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification
Mevan Ekanayake, Kamlesh Pawar, Gary Egan +1
Deep learning (DL) models are capable of successfully exploiting latent representations in MR data and have become state-of-the-art for accelerated MRI reconstruction. However, und…
Object Dimension Extraction for Environment Mapping with Low Cost Cameras Fused with Laser Ranging
E. M. S. P. Ekanayake, T. H. M. N. C. Thelasingha, U. V. B. L. Udugama +4
It is essential to have a method to map an unknown terrain for various applications. For places where human access is not possible, a method should be proposed to identify the envi…
Laser Ranging Based Intelligent System for Unknown Environment Mapping
T. H. M. N. C. Thelasingha, U. V. B. L. Udugama, E. M. S. P. Ekanayake +4
This work describes the implementation of a simple and computationally efficient Intelligent Navigation System (INS) for autonomous systems used in areas where human access is impo…