1 code implementation • 3 Aug 2023 • Yongcheng Yao, Junru Zhong, Liping Zhang, Sheheryar Khan, Weitian Chen
We compared our FCL measurements with those from a previous study and found that our measurements deviated less from the ground truths.
no code implementations • 16 May 2023 • Yongcheng Yao
The study's objective is to explore the distinctions in the functional brain network connectivity between Alzheimer's Disease (AD) patients and normal controls using Functional Magnetic Resonance Imaging (fMRI).
1 code implementation • 14 May 2023 • Yongcheng Yao
This study aims to investigate the differences in the topological properties of functional brain networks between individuals with Alzheimer's Disease (AD) and normal controls.
no code implementations • 14 Dec 2022 • Junru Zhong, Yongcheng Yao, Donal G. Cahill, Fan Xiao, Siyue Li, Jack Lee, Kevin Ki-Wai Ho, Michael Tim-Yun Ong, James F. Griffith, Weitian Chen
Conclusion: The proposed UDA approach improves the performance of automated knee OA phenotype classification for small target datasets by utilising a large, high-quality source dataset for training.
no code implementations • 29 Sep 2021 • Sheheryar Khan, Basim Azam, Yongcheng Yao, Weitian Chen
A novel multipath CNN-based method is proposed, which consists of an encoder decoder-based segmentation network in combination with a low rank tensor-reconstructed segmentation network.