| 2024 | MICCAI | A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. | Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu |
| 2024 | MICCAI | Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. | Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu |
| 2022 | MICCAI | Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. | Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu |
| 2021 | MICCAI | Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. | Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu |
| 2020 | MICCAI | Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. | Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul J. Laurienti, Guorong Wu |
| 2020 | MICCAI | Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. | Yi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu |
| 2019 | MICCAI | Revealing Functional Connectivity by Learning Graph Laplacian. | Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu |
| 2019 | MICCAI | Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. | Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu |
| 2018 | MICCAI | GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. | Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung |