Sifting through vast textual data and summarizing key information impose...
The ability of large language models (LLMs) to follow natural language
i...
Deep Learning (DL) methods have shown promising results for solving ill-...
Despite its tremendous value for the diagnosis, treatment monitoring and...
Physiological motion, such as cardiac and respiratory motion, during Mag...
Image-to-image translation plays a vital role in tackling various medica...
Age is an essential factor in modern diagnostic procedures. However,
ass...
The concept of biological age (BA) - although important in clinical prac...
Purpose: To enable fast and reliable assessment of subcutaneous and visc...
Local deformations in medical modalities are common phenomena due to a
m...
Individuals age differently depending on a multitude of different factor...
Motion is one of the main sources for artifacts in magnetic resonance (M...
Image-to-image translation is a new field in computer vision with multip...
Numerous factors could lead to partial deteriorations of medical images....
Motion artifacts are a primary source of magnetic resonance (MR) image
q...
Morphological analysis of organs based on images is a key task in medica...
Magnetic resonance (MR) imaging offers a wide variety of imaging techniq...
Image-to-image translation is considered a next frontier in the field of...