Scientists have redesigned a key piece of MRI hardware using metamaterials, allowing existing scanners to produce clearer ...
Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
Abstract: A sudden blow or jolt to the human brain called traumatic brain injury (TBI) is one of the most common injuries recorded in the health insurance claim. Generally, computed tomography (CT) or ...
Abstract: This research paper proposes an intelligent classification technique to recognize normal and abnormal MRI brain image. Medical image like ECG, MRI and CT-scan images are important way to ...
NEW research, presented at the European Congress of Radiology 2026, has revealed that white matter hyperintensity progression in cerebral small vessel disease (CSVD) may be closely linked to ...
Background Brain imaging studies investigating grey matter in functional neurological disorder (FND) have used univariate approaches to report group-level differences compared with healthy controls ...
Introduction: This study was conducted to develop a machine learning model for the prediction of Parkinson's disease progression using baseline dopamine transporter single photon emission computed ...
A total of 120 patients with neuroblastomas and baseline MR imaging examination available were identified of whom 74 (mean age ± standard deviation [SD] of 6 years and 2 months ± 4 years and 9 months; ...
While evidence has demonstrated that the default-mode network (DMN) plays a key role in the broad-scale cognitive problems that occur in right temporal lobe epilepsy (rTLE), little is known about ...
The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled ...
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