Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …

Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for
example, chronic kidney disease. Existing total kidney volume estimation methods often rely …

Objectives Standardization is an important milestone in the validation of DWI-based
parameters as imaging biomarkers for renal disease. Here, we propose technical …

There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

The UK Biobank is collecting extensive data on health-related characteristics of over half a
million volunteers. The biological samples of blood and urine can provide valuable insight …

Purpose Accurate detection of small renal masses (SRM) is a fundamental step for
automated classification of benign and malignant or indolent and aggressive renal tumors …

Purpose Early assessment of renal allograft function post‐transplantation is crucial to
minimize and control allograft rejection. Biopsy—the gold standard—is used only as a last …

Diffusion tensor imaging (DTI) is particularly suitable for kidney studies due to tubules,
collector ducts and blood vessels in the medulla that produce spatially restricted diffusion of …

In the field of diagnosis and treatment planning of kidney-related diseases, accurate kidney
segmentation is challenging due to intensity inhomogeneity caused by imperfections during …