Convolutional Autoencoder for Blind Hyperspectral Image Unmixing. - Yasiru Ranasinghe; Sanjaya Herath; Kavinga Weerasooriya; Mevan Ekanayake; Roshan Godaliyadda; Parakrama Ekanayake; Vijitha R. Herath (ICIIS, 2020)

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction. - Mevan Ekanayake; Kamlesh Pawar; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (CoRR, 2022)

Hyperspectral data for KbSNMF. - Mevan Ekanayake (IEEE DataPort, 2022)

PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification. - Mevan Ekanayake; Kamlesh Pawar; Gary F. Egan; Zhaolin Chen (CoRR, 2023)

Contrastive Learning MRI Reconstruction. - Mevan Ekanayake; Zhifeng Chen; Gary F. Egan; Mehrtash Harandi; Zhaolin Chen (CoRR, 2023)

Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges. - Zhaolin Chen; Kamlesh Pawar; Mevan Ekanayake; Cameron Dennis Pain; Shenjun Zhong; Gary F. Egan (J. Digit. Imaging, 2023)

Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. - Mevan Ekanayake; Zhifeng Chen; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (ISBI, 2024)

McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction. - Mevan Ekanayake; Kamlesh Pawar; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (Comput. Biol. Medicine, 2024)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. - Mevan Ekanayake; Zhifeng Chen; Gary F. Egan; Mehrtash Harandi; Zhaolin Chen (WACV, 2025)

CL-MRI: Self-Supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction. - Mevan Ekanayake; Zhifeng Chen; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (Biomed. Signal Process. Control., 2025)