This paper presents a novel predictive model, MetaMorph, for metamorphic...
This work details a highly efficient implementation of the 3D scale-inva...
Ensembling is now recognized as an effective approach for increasing the...
Fully convolutional neural networks (FCNs), and in particular U-Nets, ha...
In image-guided neurosurgery, deformable registration currently is not a...
This paper establishes an information theoretic framework for deep metri...
Background and objective: Combined evaluation of lumbosacral structures ...
Deep metrics have been shown effective as similarity measures in multi-m...
A reliable Ultrasound (US)-to-US registration method to compensate for b...
Estimating the uncertainty in image registration is an area of current
r...
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diag...
Segmentation is a fundamental task for extracting semantically meaningfu...
We describe a fully-automatic 3D-segmentation technique for brain MR ima...