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 …

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has shown high
sensitivity to diagnose breast cancer. However, few computer-aided algorithms focus on …

In this article, we propose an unsupervised deep learning method for positron emission
tomography (PET) reconstruction from incomplete data. This method utilizes the so-called …

Breast cancer is the most common cancer among women, and in some cases, it also affects
men. Since early detection allows for proper treatment, automated data classification is …

Magnetic resonance imaging is essential for the surveillance and assessment of therapeutic
efficacy in individuals predisposed to a heightened risk of breast cancer. The partitioning of …

In recent years, nuclear medicine has witnessed a significant transformation with the
integration of artificial intelligence (AI) technologies. AI is used to improve nuclear medicine …