Automated segmentation of the blood vessels in 3D volumes is an essentia...
Multiple Sclerosis (MS) is a severe neurological disease characterized b...
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically
unders...
Automated medical image segmentation inherently involves a certain degre...
This study investigates the transformative potential of Large Language M...
Gliomas are the most common type of primary brain tumors. Although gliom...
Panoramic X-rays are frequently used in dentistry for treatment planning...
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...
Clinical routine and retrospective cohorts commonly include multi-parame...
Self-supervised learning has attracted increasing attention as it learns...
Quantifying the perceptual similarity of two images is a long-standing
p...