We introduce and evaluate a post-processing technique for fast denoising of diffusion-
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …

Surface-based cortical registration methods that are driven by geometrical features, such as
folding, provide sub-optimal alignment of many functional areas due to variable correlation …

Background Automatic and reliable characterization of cells in cell cultures is key to several
applications such as cancer research and drug discovery. Given the recent advances in light …

This paper presents a systematic literature review concerning 3D segmentation algorithms
for computerized tomographic imaging. This analysis covers articles published in the range …

Determination of sensitive and specific markers of very early AD progression is intended to
aid researchers and clinicians to develop new treatments and monitor their effectiveness, as …

As one of the most prevalent chronic disorders, airway disease is a major cause of morbidity
and mortality worldwide. In order to understand its underlying mechanisms and to enable …

Deep brain stimulation of the subthalamic nucleus (STN) is a widely performed surgical
treatment for patients with Parkinson's disease. The goal of the surgery is to place an …

The cerebellum is involved in a wide range of behaviours. A key organisational principle
from animal studies is that somatotopically corresponding sensory input and motor output …

The Minimal Interval Resonance Imaging in Alzheimer's Disease (MIRIAD) dataset is a
series of longitudinal volumetric T1 MRI scans of 46 mild–moderate Alzheimer's subjects …

Neurodegenerative diseases such as Alzheimer's or Parkinson's are associated with the
prion-like propagation and aggregation of toxic proteins. A long standing hypothesis that …