Portrait synthesis creates realistic digital avatars which enable users ...
Graph neural networks have shown to learn effective node representations...
Semantic segmentation is a task that traditionally requires a large data...
We propose a supervised nonrigid image registration method, trained usin...
Adversarial training has been recently employed for realizing structured...
Quantification of cerebral white matter hyperintensities (WMH) of presum...
Various approaches for liver segmentation in CT have been proposed: Besi...
Convolutional neural networks have been successfully applied to semantic...
Ventricular volume and its progression are known to be linked to several...
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diag...
Lacunes of presumed vascular origin (lacunes) are associated with an
inc...
The anatomical location of imaging features is of crucial importance for...