Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …

Big-medical-data classification and image detection are crucial tasks in the field of
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …

Medical imaging (image acquisition, image transformation, and image visualization) is a
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …

Importance. Medical images are essential for modern medicine and an important research
subject in visualization. However, medical experts are often not aware of the many …

The medical domain has been an inspiring application area in visualization research for
many years already, but many open challenges remain. The driving forces of medical …

Recently, medical imaging and machine learning gained significant attention in the early
detection of brain tumor. Compound structure and tumor variations, such as change of size …

Learning functional neuroanatomy requires forming mental representations of 3D structure,
but forming such representations from 2D textbook diagrams can be challenging. We …

The visual communication of biomedical processes draws from diverse techniques in both
visualization and biomedical illustration. However, matching these techniques to their …

A U-Net is a type of convolutional neural network that has been shown to output impressive
results in medical imaging segmentation tasks. Still, neural networks in general form a black …