| 2022 | MICCAI | Generating Artificial Artifacts for Motion Artifact Detection in Chest CT. | Guus van der Ham, Rudolfs Latisenko, Michail Tsiaousis, Gijs van Tulder |
| 2021 | MICCAI | Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers. | Gijs van Tulder, Yao Tong, Elena Marchiori |
| 2019 | MICCAI | Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. | Shuai Chen, Gerda Bortsova, Antonio Garca-Uceda Jurez, Gijs van Tulder, Marleen de Bruijne |
| 2017 | MICCAI | Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks. | Gerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne |
| 2016 | MICCAI | Representation Learning for Cross-Modality Classification. | Gijs van Tulder, Marleen de Bruijne |
| 2015 | MICCAI | Why Does Synthesized Data Improve Multi-sequence Classification? | Gijs van Tulder, Marleen de Bruijne |
| 2014 | MICCAI | Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine. | Gijs van Tulder, Marleen de Bruijne |