We present a novel deep learning based technique for volumetric ambient occlusion in the
context of direct volume rendering. Our proposed Deep Volumetric Ambient Occlusion …

Intracranial hematoma due to traumatic brain injury is a serious health concern with rates of
morbidity and mortality that are increasing worldwide. Manual identification is slow, subject …

Correct virtual reconstruction of a defective skull is a prerequisite for successful cranioplasty
and its automatization has the potential for accelerating and standardizing the clinical …

Due to the advancement of digital twin (DT) technology, Health 4.0 applications have
become reality and starting to take roots. In this article, we focus on intracranial hemorrhage …

Cranial implant design is a challenging task, whose accuracy is crucial in the context of
cranioplasty procedures. This task is usually performed manually by experts using computer …

Background: Chest X-rays are the most commonly performed, cost-effective diagnostic
imaging tests ordered by physicians. A clinically validated AI system that can reliably …

Abstract Background and Objectives Chest X-rays are the most commonly performed,
costeffective diagnostic imaging tests ordered by physicians. A clinically validated …

Background and objective: Intracerebral hemorrhage is one of the diseases with the highest
mortality and poorest prognosis worldwide. Spontaneous intracerebral hemorrhage (SICH) …

Segmentation of brain regions affected by ischemic stroke helps to overcome the main
obstacles in modern studies of stroke visualization. Unfortunately, contemporary methods of …

Intracranial hemorrhage is a cerebral vascular disease with high mortality. Automotive
diagnosing and segmentation of intracranial hemorrhage in Computed Tomography (CT) …