Yi Hao Chan

16 papers Misc 3Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology.
ICASSP
Amashi Niwarthana, Chockalingam Kasi, Yi Hao Chan, Conghao Wang, Jagath C. Rajapakse
2025 J jnl
Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review.
NeuroImage
Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse
2025 J jnl
Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes.
Medical Image Anal.
Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
2025 — conf
Meta-analysis Guided Multi-task Graph Transformer Network for Diagnosis of Neurological Disease and Cognitive Deficits.
MICCAI (12)
Jing Xia, Yi Hao Chan, Jagath C. Rajapakse
2024 Misc conf
Brain Structure-Function Interaction Network for Fluid Cognition Prediction.
ICASSP
Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
2024 J jnl
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review.
CoRR
Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse
2024 — conf
IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis.
MICCAI (10)
Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
2024 — conf
Robustness of Explainable AI Algorithms for Disease Biomarker Discovery from Functional Connectivity Datasets.
BHI
Deepank Girish, Yi Hao Chan, Sukrit Gupta, Jing Xia, Jagath C. Rajapakse
2024 Misc conf
Subtype-Specific Biomarkers of Alzheimer's Disease from Anatomical and Functional Connectomes via Graph Neural Networks.
ICASSP
Yi Hao Chan, Jun Liang Ang, Sukrit Gupta, Yinan He, Jagath C. Rajapakse
2024 J jnl
Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images.
IEEE Access
Jagath C. Rajapakse, Chun Hung How, Yi Hao Chan, Luke Chin Peng Hao, Abhinandan Padhi, Vivek Adrakatti, Iram Rais Alam Khan, Tchoyoson Lim
2023 J jnl
Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans.
CoRR
Yanteng Zhang, Xiaohai He, Yi Hao Chan, Qizhi Teng, Jagath C. Rajapakse
2023 J jnl
Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans.
Comput. Biol. Medicine
Yanteng Zhang, Xiaohai He, Yi Hao Chan, Qizhi Teng, Jagath C. Rajapakse
2022 — conf
Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI.
MICCAI (1)
Yi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse
2021 J jnl
Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot.
Neurocomputing
Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse, Alzheimer's Disease Neuroimaging Initiative
2020 — conf
Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions.
MLCN/RNO-AI@MICCAI
Yi Hao Chan, Sukrit Gupta, L. L. Chamara Kasun, Jagath C. Rajapakse
2019 — conf
Decoding Brain Functional Connectivity Implicated in AD and MCI.
MICCAI (3)
Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse