| 2025 | CoDIT | A Vector Quantization-Based U-Net for Robust Segmentation of Corpus Callosum. | Amal Jlassi, Maram Issaoui, Sami Hafsi, Ezequiel de la Rosa, Ahmed Harbaoui |
| 2025 | MICCAI | Outcome Prediction and Individualized Treatment Effect Estimation in Patients with Large Vessel Occlusion Stroke. | Lisa Herzog, Pascal Bhler, Ezequiel de la Rosa, Beate Sick, Susanne Wegener |
| 2022 | MICCAI | Knowledge-Guided Segmentation of Isointense Infant Brain. | Jana Vujadinovic, Jaime Simarro Viana, Ezequiel de la Rosa, Els Ortibus, Diana Maria Sima |
| 2020 | MICCAI | Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning. | Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande, Elmer Fernandez |
| 2020 | MICCAI | Differentiable Deconvolution for Improved Stroke Perfusion Analysis. | Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze |
| 2019 | MICCAI | Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. | Maria Ins Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima |