Search Results for author: Yongcheng Yao

Found 5 papers, 2 papers with code

CartiMorph: a framework for automated knee articular cartilage morphometrics

1 code implementation3 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.

Image Registration Segmentation

Abnormal Functional Brain Network Connectivity Associated with Alzheimer's Disease

no code implementations16 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).

Altered Topological Properties of Functional Brain Network Associated with Alzheimer's Disease

1 code implementation14 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.

Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification

no code implementations14 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.

Classification Phenotype classification +2

Multipath CNN with alpha matte inference for knee tissue segmentation from MRI

no code implementations29 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.

Image Matting Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.