| 2025 | ICASSP | Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology. | Amashi Niwarthana, Chockalingam Kasi, Yi Hao Chan, Conghao Wang, Jagath C. Rajapakse |
| 2025 | MICCAI | Meta-analysis Guided Multi-task Graph Transformer Network for Diagnosis of Neurological Disease and Cognitive Deficits. | Jing Xia, Yi Hao Chan, Jagath C. Rajapakse |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | Brain Structure-Function Interaction Network for Fluid Cognition Prediction. | Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse |
| 2024 | MICCAI | 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 |
| 2022 | MICCAI | Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI. | Yi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse |
| 2020 | MICCAI | 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 |
| 2019 | MICCAI | Decoding Brain Functional Connectivity Implicated in AD and MCI. | Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse |