Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. - Aleksei Tiulpin; Stefan Klein; Sita M. A. Bierma-Zeinstra; Jérôme Thevenot; Esa Rahtu; Joyce van Meurs; Edwin H. G. Oei; Simo Saarakkala (CoRR, 2019)

Magnetic Resonance Imaging compatible Elastic Loading Mechanism (MELM): A minimal footprint device for MR imaging under load. - Jaap Boon; Telly Ploem; Cole S. Simpson; Ingo Hermann; Mehmet Akçakaya; Edwin H. G. Oei; Amir Abbas Zadpoor; Nazli Tümer; Tom M. Piscaer; Joao Tourais; Sebastian Weingärtner (EMBC, 2021)

The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation. - K. B. de Raad; Karin A. van Garderen; Marion Smits; Sebastian R. van der Voort; Fatih Incekara; Edwin H. G. Oei; Jukka Hirvasniemi; Stefan Klein 001; Martijn P. A. Starmans (ISBI, 2021)

Rapid Whole-Knee Quantification of Cartilage Using $T_{1}$, $T_{2}^*$, and $T_{RAFF2}$ Mapping With Magnetic Resonance Fingerprinting. - Joao Tourais; Telly Ploem; Tijmen A. van Zadelhoff; Christal van de Steeg-Henzen; Edwin H. G. Oei; Sebastian Weingärtner (IEEE Trans. Biomed. Eng., 2023)

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines. - Douwe J. Spaanderman; Matthew Marzetti; Xinyi Wan; Andrew F. Scarsbrook; Philip Robinson; Edwin H. G. Oei; Jacob J. Visser; Robert Hemke; Kirsten van Langevelde; David F. Hanff; Geert J. L. H. van Leenders; Cornelis Verhoef; et al. (CoRR, 2024)