Engineers in Prof. Shanhui Fan's laboratory have developed an efficient, scalable, in-situ method to train, configure and tune complex photonic circuits for artificial intelligence and machine learning.
With energy costs rising and environmental problems worsening, there's a growing need for efficient, scalable, alternative energy. A team of researchers at Stanford University led by Prof.
Stanford researchers have developed a method that can leverage state-of-the-art techniques that are not clinically feasible to train a neural network to distinguish contrast agents versus background tissue in a way that is safe, real-time, and can expedite the translation of u
Stanford researchers at the Vuckovic Lab have created a computational nanophotonic design library for gradient-based optimization called the Stanford Photonic INverse design Software (Spins).
A team of Stanford engineers have developed a patented integrated circuit to amplify and digitize pulse signals from silicon photomultiplier (SiPM) and avalanche photodiode (APD) -based semiconductor photodetectors for Positron Emission Tomography (PET) applications while prov
Stanford Researchers have developed a method for a high-resolution photon imaging device with high fill factor (the ratio of the area of the active imaging elements vs. the dead area occupied by non-imaging elements).
Stanford researchers have prototyped a system to enhance the sensitivity of triple coincidences for multi-isotope PET by adding an extra detector dedicated for the detection of the third prompt gamma in coincidence with the annihilation photons.
Stanford researchers have patented a novel concept for a position sensitive high-energy photon sensor device for high resolution radiation imaging that can enhance capabilities of Positron Emission Tomography (PET).
A Stanford researcher has developed two advanced approaches for the positron sensitive high-energy photon sensor technology for Positron Emission Tomography (PET).
Current techniques for reconstructing images in positron emission tomography (PET) cannot correctly use events in which at least one photon of a pair has scattered in tissue (also known as scatter coincidence events).
Mammography is the current first-line imaging technique for early breast cancer detection, however, its diagnostic accuracy is limited in women with dense breast tissue. Ultrasound is often performed as a second line test in women with dense breast tissue.
Stanford researchers have developed a statistical method to map tissue activity distribution and photon attenuation, correcting for attenuation in real time without a transmission scan, using Positron Emission Tomography.
Researchers in Prof. Ronald K. Hanson's laboratory have developed a non-intrusive gas sensor designed for high performance temperature and species concentration measurements in high pressure, particulate laden environments.