Latest AI and machine learning research in brain cancer for healthcare professionals.
PURPOSE: Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has...
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last deca...
PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a on...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...
BACKGROUND: Measurement of volumetric features is challenging in glioblastoma. We investigate whethe...
Over the past years, the quantity and complexity of imaging data available for the clinical manageme...
PURPOSE: Auto-contouring may reduce workload, interobserver variation, and time associated with manu...
The emergence of new technologies to incorporate and analyze data with high-performance computing ha...
A goal of cancer research is to reveal cell subsets linked to continuous clinical outcomes to genera...
OBJECTIVES: High throughput pre-treatment imaging features may predict radiation treatment outcome a...
PURPOSE: Imaging, breath-holding/gating, and fixation devices have been developed to minimize setup ...
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in patients w...
PURPOSE: Radiation therapy (RT) is prescribed for curative and palliative treatment for around 50% o...
BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinom...
Glioblastoma is a heterogeneous lethal disease, regulated by a stem-cell hierarchy and the neurotra...
Accurate estimation of reference evapotranspiration (ET) is profoundly crucial in crop modeling, sus...
Stereotactic Body Radiation Therapy (SBRT), alternatively termed Stereotactic ABlative Radiotherapy ...
PURPOSE: This study aims to evaluate the impact of key parameters on the pseudo computed tomography ...
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human...
Ionizing radiation has very complex biological effects, such as inducing damage to DNA and proteins...
BACKGROUND: Automated brain tumor segmentation methods are computational algorithms that yield tumor...