Yi Hao Chan

According to our database, Yi Hao Chan authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes.

Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse

Medical Image Anal., 2025

Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology.

Amashi Niwarthana, Chockalingam Kasi, Yi Hao Chan, Conghao Wang, Jagath C. Rajapakse

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review.

Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse

CoRR, 2024

Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images.

Jagath C. Rajapakse, Chun Hung How, Yi Hao Chan, Luke Chin Peng Hao, Abhinandan Padhi, Vivek Adrakatti, Iram Rais Alam Khan, Tchoyoson Lim

IEEE Access, 2024

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis.

Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Brain Structure-Function Interaction Network for Fluid Cognition Prediction.

Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Acoustics, 2024

Subtype-Specific Biomarkers of Alzheimer's Disease from Anatomical and Functional Connectomes via Graph Neural Networks.

Yi Hao Chan, Jun Liang Ang, Sukrit Gupta, Yinan He, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Acoustics, 2024

Robustness of Explainable AI Algorithms for Disease Biomarker Discovery from Functional Connectivity Datasets.

Deepank Girish, Yi Hao Chan, Sukrit Gupta, Jing Xia, Jagath C. Rajapakse

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans.

Yanteng Zhang, Xiaohai He, Yi Hao Chan, Qizhi Teng, Jagath C. Rajapakse

Comput. Biol. Medicine, September, 2023

2022

Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI.

Yi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot.

Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse, Alzheimer's Disease Neuroimaging Initiative

Neurocomputing, 2021

2020

Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions.

Yi Hao Chan, Sukrit Gupta, L. L. Chamara Kasun, Jagath C. Rajapakse

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Decoding Brain Functional Connectivity Implicated in AD and MCI.

Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019