With the increasing demand for precision medicine in cancer patients, radiogenomics
emerges as a promising frontier. Radiogenomics is originally defined as a methodology for …

Glioblastoma, the most common primary malignant tumor of the central nervous system in
adults, is also among the most lethal. Despite a comprehensive treatment approach which …

Abstract O6-methylguanine-DNA methyltransferase (MGMT) has been demonstrated to be
an important prognostic and predictive marker in glioblastoma (GBM). To establish a reliable …

Current deep learning-assisted brain tumor classification models sustain inductive bias and
parameter dependency problems for extracting texture-based image information. Thereby …

Purpose This study aimed to perform multimodal analysis by vision transformer (vViT) in
predicting O6-methylguanine-DNA methyl transferase (MGMT) promoter status among adult …

Artificial Intelligence (AI) is the subject of a challenge and attention in the field of oncology
and raises many promises for preventive diagnosis, but also fears, some of which are based …

The purpose of the article is to provide a practical guide for manual and semi-automated
image segmentation of common neurosurgical cranial lesions, namely meningioma …

to identify opportunities for intervention. Many of the acute neuroimaging AI applications will
ultimately become integrated into the CT scanner, thereby minimizing delays and errors …

While there has been significant progress in AI and neuro-oncologic imaging, clinical utility
remains to be demonstrated. The next wave of progress in this area will be driven by …

An accurate diagnosis of a brain tumour in its early stages is required to improve the
possibility of survival for cancer patients. Due to the structural complexity of the brain, it has …