The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …

The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …

Digital twins employ mathematical and computational models to virtually represent a
physical object (eg, planes and human organs), predict the behavior of the object, and …

This protocol describes a complete data acquisition, analysis and computational forecasting
pipeline for employing quantitative MRI data to predict the response of locally advanced …

Simple Summary The recruitment of new vasculature via angiogenesis is a critical
component of tumor development, which fundamentally influences tumor growth and …

Tumor associated angiogenesis is the development of new blood vessels in response to
proteins secreted by tumor cells. These new blood vessels allow tumors to continue to grow …

The development of ultrafast dynamic contrast‐enhanced (UF‐DCE) MRI has occurred in
tandem with fast MRI scan techniques, particularly view‐sharing and compressed sensing …

Simple Summary Tumor heterogeneity influences tumor progression and response to
therapy, introducing a significant challenge in the treatment of breast cancer. We employed …

Imaging plays an indispensable role in the diagnosis and treatment of breast cancer.
Several new imaging tools are currently being developed for clinical use to improve …

Objective This study aims to explore the feasibility of dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) and blood oxygen level-dependent magnetic resonance …