| 2025 | MICCAI | Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI. | Marijn Borghouts, Richard McKinley, Manuel Kstner, Josien P. W. Pluim, Roland Wiest, Ruisheng Su |
| 2023 | MICCAI | CortexMorph: Fast Cortical Thickness Estimation via Diffeomorphic Registration Using VoxelMorph. | Richard McKinley, Christian Rummel |
| 2019 | MICCAI | Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. | Michael Rebsamen, Christian Rummel, Ines Mrner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley |
| 2018 | MICCAI | Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. | Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David S. Liebeskind, Roland Wiest, Richard McKinley |
| 2018 | MICCAI | Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation. | Richard McKinley, Raphael Meier, Roland Wiest |
| 2017 | MICCAI | Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. | Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julin Prez-Beteta, David Molina-Garca, Vctor M. Prez-Garca, Roland Wiest, Mauricio Reyes |
| 2017 | MICCAI | Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. | Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes |
| 2016 | MICCAI | Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. | Richard McKinley, Rik Wepfer, Tom Gundersen, Franca Wagner, Andrew Chan, Roland Wiest, Mauricio Reyes |
| 2015 | MICCAI | Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding. | Richard McKinley, Levin Hni, Roland Wiest, Mauricio Reyes |
| 2010 | LPAR | Expansion Nets: Proof-Nets for Propositional Classical Logic. | Richard McKinley |
| 2008 | LPAR | An Algorithmic Interpretation of a Deep Inference System. | Kai Brnnler, Richard McKinley |