Nowadays, registration methods are typically evaluated based on
sub-reso...
Pediatric tumors of the central nervous system are the most common cause...
Automated brain tumor segmentation methods are well established, reachin...
A myriad of algorithms for the automatic analysis of brain MR images is
...
Meningiomas are the most common primary intracranial tumor in adults and...
Even though simultaneous optimization of similarity metrics represents a...
Machine learning models are typically evaluated by computing similarity ...
Deep convolutional neural networks have proven to be remarkably effectiv...
Fast and accurate solutions of time-dependent partial differential equat...
Symptomatic spinal vertebral compression fractures (VCFs) often require
...
Fast and accurate solution of time-dependent partial differential equati...
In this work, we report the set-up and results of the Liver Tumor
Segmen...
Gliomas are the most common primary brain malignancies, with different
d...
For many segmentation tasks, especially for the biomedical image, the
to...
For a number of biomedical image segmentation tasks, including topologic...
We present DeepVesselNet, an architecture tailored to the challenges to ...