Staring, Marius

Elastix: a toolbox for intensity-based medical image registration

Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 4,311

A deep learning framework for unsupervised affine and deformable image registration

de Vos, B. D., Berendsen, F. F., Viergever, M. A., Sokooti, H., Staring, M., & Išgum, I. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 818

Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks

Sokooti, H., de Vos, B., Berendsen, F., Lelieveldt, B. P. F., Išgum, I., & Staring, M. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 340

Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions

van der Bom, I. M. J., Klein, S., Staring, M., Homan, R., Bartels, L. W., & Pluim, J. P. W. (2011) · SPIE Proceedings

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 55

Deep learning in rheumatological image interpretation

Stoel, B. C., Staring, M., Reijnierse, M., & van der Helm-van Mil, A. H. M. (2024) · Nature Reviews Rheumatology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 25