A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

The research represents a major step forward in revealing how the three dimensional form of DNA shapes the way human biology functions. In a major step toward understanding how the physical form of ...

Abstract: We propose a method for semantic segmentation of 3D non-contrast computed tomography brain images of acute ischemic stroke using transformer neural networks. To improve the segmentation ...

Create a powerful, user-friendly, and research-oriented open-source medical image viewer. MedImager aims to provide smooth image interaction, multi-format support (DICOM, PNG, etc.), and advanced ...

Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...

Experts say graphic images, nonstop outrage, and the 24/7 negative news cycle don’t just upset us—they alter our stress response and harm mental health. The amygdala, shown in orange, serves as the ...

Recent technological and scientific advances have opened new possibilities for neuroscience research, which is in turn leading to interesting new discoveries. Over the past few years, many groups of ...

Human 3D vision is based on parallax: each eye captures a slightly different perspective of the world, and the brain fuses these two views into a single, rich 3D perception. Glasses-free, or ...

Mayo Clinic researchers have developed and tested a new 3D surface scanning approach that gives neurosurgeons even greater precision when operating deep inside the brain. The system aligns a patient's ...

A high-speed “zap-and-freeze” method is giving scientists their clearest view yet of how brain cells send messages. By freezing tissue at the instant a signal fires, researchers revealed how synaptic ...

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that ...