| 2024 | MICCAI | Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. | Qinghao Liang, Brendan Adkinson, Rongtao Jiang, Dustin Scheinost |
| 2023 | CISS | Stacking multiple optimal transport policies to map functional connectomes. | Javid Dadashkarimi, Matthew Rosenblatt, Amin Karbasi, Dustin Scheinost |
| 2022 | MICCAI | Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport. | Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost |
| 2022 | MICCAI | The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference. | Wei Dai, Stephanie Noble, Dustin Scheinost |
| 2022 | MICCAI | Transforming Connectomes to "Any" Parcellation via Graph Matching. | Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou, Dustin Scheinost |
| 2022 | MICCAI | Data Poisoning Attack and Defenses in Connectome-Based Predictive Models. | Matthew Rosenblatt, Dustin Scheinost |
| 2021 | MICCAI | Data-Driven Mapping Between Functional Connectomes Using Optimal Transport. | Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost |
| 2020 | MICCAI | Poincar Embedding Reveals Edge-Based Functional Networks of the Brain. | Siyuan Gao, Gal Mishne, Dustin Scheinost |
| 2020 | MICCAI | The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. | Stephanie Noble, Dustin Scheinost |
| 2019 | CISS | Motion correction for fetal functional magnetic resonance imaging. | Dustin Scheinost |
| 2019 | MICCAI | A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. | Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost |
| 2019 | MICCAI | Combining Multiple Behavioral Measures and Multiple Connectomes via Multipath Canonical Correlation Analysis. | Siyuan Gao, Xilin Shen, R. Todd Constable, Dustin Scheinost |
| 2018 | MICCAI | Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. | Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost |
| 2017 | MICCAI | A Submodular Approach to Create Individualized Parcellations of the Human Brain. | Mehraveh Salehi, Amin Karbasi, Dustin Scheinost, R. Todd Constable |
| 2013 | MICCAI | Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data. | Dustin Scheinost, Xilin Shen, Emily S. Finn, Rajita Sinha, R. Todd Constable, Xenophon Papademetris |
| 2009 | MICCAI | A Non-rigid Registration Method for Serial microCT Mouse Hindlimb Images. | Jung W. Suh, Dustin Scheinost, Donald P. Dione, Lawrence W. Dobrucki, Albert J. Sinusas, Xenophon Papademetris |