Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

Abstract Intravoxel Incoherent Motion (IVIM) refers to translational movements which within a
given voxel and during the measurement time present a distribution of speeds in orientation …

Radiomics refers to the extraction of mineable data from medical imaging and has been
applied within oncology to improve diagnosis, prognostication, and clinical decision support …

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 …

Abstract Glaciers in High Mountain Asia have experienced heterogeneous rates of loss
since the 1970s. Yet, the associated changes in ice flow that lead to mass redistribution and …

Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of
such images. As a method to mitigate such artifacts, denoising is largely studied both within …

Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …

The image biomarker standardisation initiative (IBSI) is an independent international
collaboration which works towards standardising the extraction of image biomarkers from …

Image segmentation is one of the most important tasks in medical image analysis and is
often the first and the most critical step in many clinical applications. In brain MRI analysis …

The concept of diffusion magnetic resonance (MR) imaging emerged in the mid-1980s,
together with the first images of water diffusion in the human brain, as a way to probe tissue …