 | Up a level |
Kulathilake, K. A. Saneera Hemantha and Abdullah, Nor Aniza and Sabri, Aznul Qalid Md and Bandara, A. M. R. Ravimal and Lai, Khin Wee (2022) A review on self-adaptation approaches and techniques in medical image denoising algorithms. Multimedia Tools and Applications, 81 (26). pp. 37591-37626. ISSN 1380-7501, DOI https://doi.org/10.1007/s11042-022-13511-w.
Lim, Bing Yan and Lai, Khin Wee and Hasikin, Khairunnisa and Kulathilake, K. A. Saneera Hemantha and Ong, Zhi Chao and Hum, Yan Chai and Dhanalakshmi, Samiappan and Wu, Xiang and Zuo, Xiaowei (2022) Deep learning model for prediction of progressive mild cognitive impairment to Alzheimer's disease using structural MRI. Frontiers in Aging Neuroscience, 14. ISSN 1663-4365, DOI https://doi.org/10.3389/fnagi.2022.876202.
Kulathilake, K. A. Saneera Hemantha and Abdullah, Nor Aniza and Bandara, A. M. Randitha Ravimal and Lai, Khin Wee (2021) InNetGAN: Inception network-based generative adversarial network for denoising low-dose computed tomography. Journal of Healthcare Engineering, 2021. ISSN 2040-2295, DOI https://doi.org/10.1155/2021/9975762.
Kulathilake, K. A. Saneera Hemantha and Abdullah, Nor Aniza and Lachyan, Abhishek Shivanand and Bandara, A. M. Randitha Ravimal and Patel, Dhrumil Deveshkumar and Lai, Khin Wee (2022) Restoring lesions in low-dose computed tomography images of COVID-19 using deep learning. In: 6th Kuala Lumpur International Conference on Biomedical Engineering, BioMed 2021, 28-29 July 2021, Virtual, Online.
