Images and other types of unstructural data in the medical domain are rapidly becoming
data-intensive. Actionable insights from these complex data present new opportunities but …

Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …

Medical Imaging (MI) plays a crucial role in healthcare, including disease diagnosis,
treatment, and continuous monitoring. The integration of non-invasive techniques such as X …

Early melanoma diagnosis is the most important factor in the treatment of skin cancer and
can effectively reduce mortality rates. Recently, Generative Adversarial Networks have been …

In this study we evaluate the performance of a fully automated analytical framework for
FDOPA PET neuroimaging data, and its sensitivity to demographic and experimental …

Glioblastoma multiforme (GBM) remains one of the most aggressive and lethal forms of brain
cancer, characterized by rapid proliferation and diffuse infiltration into the surrounding brain …

In the era of AI-enabled medical imaging, AI applications extend well beyond voxel-based
algorithms, auto-segmentation of lesions of interest, or analysis of images and reports. 1 …

Abstract Purpose of Review As machine learning-based artificial intelligence (AI) continues
to revolutionize the way in which we analyze data, the field of nuclear cardiology provides …

Accurate quality assessment of Magnetic Resonance (MR) images is essential for effective
medical diagnostics, as it impacts the time spent on image acquisition and image …

Introduction The roles and responsibilities of medical physicists (MPs) are growing together
with the evolving science and technology. The complexity of today's clinical trials requires …