| 2024 | MICCAI | Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model. | Oleksii Bashkanov, Marko Rak, Lucas Engelage, Christian Hansen |
| 2023 | MICCAI | Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. | Gino Gulamhussene, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen, Marko Rak |
| 2019 | MICCAI | A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations. | Philipp Ernst, Georg Hille, Christian Hansen, Klaus Tnnies, Marko Rak |
| 2016 | ICPRAM | Information Efficient Automatic Object Detection and Segmentation using Cosegmentation, Similarity based Clustering, and Graph Label Transfer. | Johannes Steffen, Marko Rak, Tim Knig, Klaus-Dietz Tnnies |
| 2016 | MICCAI | A Learning-Free Approach to Whole Spine Vertebra Localization in MRI. | Marko Rak, Klaus-Dietz Tnnies |
| 2015 | ICPRAM | Density Difference Detection with Application to Exploratory Visualization. | Marko Rak, Tim Knig, Johannes Steffen, Dirk Joachim Lehmann, Klaus-Dietz Tnnies |
| 2015 | ICPRAM | Spotting Differences Among Observations. | Marko Rak, Tim Knig, Klaus-Dietz Tnnies |
| 2013 | BMVC | An Adaptive Subdivision Scheme for Quadratic Programming in Multi-Label Image Segmentation. | Marko Rak, Tim Knig, Klaus-Dietz Tnnies |