2 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA
Georgios Andreadis, Eduard Ruiz Munné, Thomas H. W. Bäck +2
When choosing a deformable image registration (DIR) approach for images with large deformations and content mismatch, the realism of found transformations often needs to be traded…
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
Alexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten
Sharing synthetic medical images is a promising alternative to sharing real images that can improve patient privacy and data security. To get good results, existing methods for med…
Deep learning-based auto-segmentation of paraganglioma for growth monitoring
E. M. C. Sijben, J. C. Jansen, M. de Ridder +2
Volume measurement of a paraganglioma (a rare neuroendocrine tumor that typically forms along major blood vessels and nerve pathways in the head and neck region) is crucial for mon…