Deep MR to CT Synthesis Using Unpaired Data. - Jelmer M. Wolterink; Anna M. Dinkla; Mark H. F. Savenije; Peter R. Seevinck; Cornelis A. T. van den Berg; Ivana Isgum (SASHIMI@MICCAI, 2017)

Manually controlled steerable needle for MRI-guided percutaneous interventions. - Kirsten R. Henken; Peter R. Seevinck; Jenny Dankelman; John van den Dobbelsteen (Medical Biol. Eng. Comput., 2017)

Contextual loss functions for optimization of convolutional neural networks generating pseudo CTs from MRI. - Marijn van Stralen; Y. Zhou; P. J. Wozny; Peter R. Seevinck; Marco Loog (Image Processing, 2018)

The impact of MRI-CT registration errors on deep learning-based synthetic CT generation. - Mateusz C. Florkow; Frank Zijlstra; Linda G. W. Kerkmeijer; Matteo Maspero; Cornelis A. T. van den Berg; Marijn van Stralen; Peter R. Seevinck (Image Processing, 2019)

CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network. - Frank Zijlstra; Koen Willemsen; Mateusz C. Florkow; Ralph J. B. Sakkers; Harrie H. Weinans; Bart C. H. van der Wal; Marijn van Stralen; Peter R. Seevinck (Image Processing, 2019)

SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions. - Frank Zijlstra; Max A. Viergever; Peter R. Seevinck (CoRR, 2019)

Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning. - Ruurd J. A. Kuiper; Joost W. Colaris; Filip Stockmans; Eline M. van Es; Max A. Viergever; Peter R. Seevinck; Harrie Weinans; Ralph J. B. Sakkers (Int. J. Comput. Assist. Radiol. Surg., 2023)