| 2025 | ICCV | Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation. | Xiaoling Hu, Xiangrui Zeng, Oula Puonti, Juan Eugenio Iglesias, Bruce Fischl, Yal Balbastre |
| 2025 | ICLR | Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging. | Xiaoling Hu, Karthik Gopinath, Peirong Liu, Malte Hoffmann, Koen Van Leemput, Oula Puonti, Juan Eugenio Iglesias |
| 2025 | MICCAI | Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization. | Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias |
| 2024 | ECCV | Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging. | Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias |
| 2024 | MICCAI | P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI. | Xiaoling Hu, Annabel Sorby-Adams, Frederik Barkhof, W. Taylor Kimberly, Oula Puonti, Juan Eugenio Iglesias |
| 2024 | MICCAI | PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI. | Peirong Liu, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias |
| 2022 | MICCAI | Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. | Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mhlau, Koen Van Leemput |
| 2015 | MICCAI | Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape. | Mikael Agn, Oula Puonti, Per Munck af Rosenschld, Ian Law, Koen Van Leemput |
| 2015 | MICCAI | Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models. | Oula Puonti, Koen Van Leemput |
| 2013 | MICCAI | Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models. | Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput |