Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …

Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …

Medical image segmentation is a crucial task in computer-aided diagnosis. While deep
learning has significantly improved this field, relying solely on local computing power makes …

Decompressive craniectomy (DC) is a surgical procedure, that is followed by cranioplasty
surgery. DC is usually performed to treat patients with traumatic brain injury, intracranial …

Many people in society are facing problems related to health care, and diseases in the body
are unable to be identified even with the presence of sensing technologies. The major …

Aortic dissections (ADs) are serious conditions of the main artery of the human body, where
a tear in the inner layer of the aortic wall leads to the formation of a new blood flow channel …

Objective To develop a free, vendor-neutral software suite, the American College of
Radiology (ACR) Connect, which serves as a platform for democratizing artificial intelligence …

Artificial intelligence (AI) has become commonplace in solving routine everyday tasks.
Because of the exponential growth in medical imaging data volume and complexity, the …

This study offers a systematic literature review on the application of Convolutional Neural
Networks in Virtual Reality, Augmented Reality, Mixed Reality, and Extended Reality …

Automatizing cranial implant design has become an increasingly important avenue in
biomedical research. Benefits in terms of financial resources, time and patient safety …