Stanford scientists have developed PVSeg, a tool that automatically segments vascular and perivascular compartments in brain MRI data. This innovative tool can identify non-demented individuals at increased risk of developing dementia and accelerated brain atrophy.
Among the many medical imaging modalities, CT and MRI scans are utilized most often for imaging bone and soft tissue respectively. As such, physicians often require both images to fully diagnose patients and determine treatment plans.
Stanford researchers at the Ferrara Lab have designed an ultra-fast standing device for breast ultrasound which is more comfortable than current designs and has higher resolution.
Stanford researchers have developed a novel approach to ultrasound imaging using the differentiable beamforming pipeline, which optimizes critical imaging parameters, significantly enhancing image quality and diagnostic accuracy in ultrasound imaging.
Stanford researchers have invented a unified AI architecture that integrates foundational models (FMs) with AI techniques for efficient analysis of fMRI data in psychiatric disorders.
Stanford researchers in the Khosla lab have invented a new class of "molecular glues" that couple the enzymatic activity of a cell-surface enzyme, transglutaminase 2 (TG2), with the ability of the LDL receptor-related protein 1 (LRP-1) to promote receptor-mediated endocytosis
Stanford researchers have developed a method for identifying the foveal center in the eye for high resolution retinal mapping in adaptive optics devices using artificial intelligence.
Stanford inventors have developed an early-stage screening method to diagnose abdominal aortic aneurysms (AAA). AAA is a common cardiovascular disease with high prevalence in European men 65 years and above.
Stanford researchers have developed a new method of imaging cholesteatoma, an expanding and destructive lesion of the middle ear and mastoid, based on its chemical composition.
Stanford scientists have invented a new PET-nanophotonic metamaterial scintillator that consists of tunable scintillating alkaline-earth rare-earth fluoride nanoparticles (MLnF) for low-dose, high-resolution PET imaging.
Researchers at Stanford have developed an innovation that will enhance the depth of the imaging capabilities for optical coherence tomography (OCT) imaging.
Active manipulation of light beams is required for a range of emerging optical technologies, including sensing, optical computing, virtual/augmented reality, dynamic holography, and computational imaging.