Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in
image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI …

Diffusion-weighted imaging (DWI) is sensitive to the mobility of water molecule at cellular
and macromolecular level, much smaller than the spatial resolution of the images. It is …

Although magnetic resonance imaging (MRI) has become standard diagnostic workup for
head and neck malignancies and is currently recommended by most radiological societies …

Our understanding of tumour biology has evolved over the past decades and cancer is now
viewed as a complex ecosystem with interactions between various cellular and non-cellular …

Rhabdomyosarcoma, although rare, is the most frequent soft tissue sarcoma in children and
adolescents. It can present as a mass at nearly any site in the body, with most common …

The role of medical image computing in oncology is growing stronger, not least due to the
unprecedented advancement of computational AI techniques, providing a technological …

Simple Summary Glioblastoma is characterized by a pronounced redox imbalance due to
elevated glycolytic and mitochondrial oxidative metabolism. New therapeutic strategies have …

Background Conventional quantitative diffusion-weighted imaging (DWI) is sensitive to
changes in tissue microstructure, but its application to evaluating patients with orthopaedic …

Clinical trials assessing the impact of radiotherapy (RT) in combination with DNA damage
response pathway inhibitors (DDRis) and/or immune checkpoint blockade are currently …

This study aims to evaluate the value of conventional magnetic resonance imaging (MRI)
features and apparent diffusion coefficient (ADC) values in differentiating oligodendroglioma …