Stanford researchers have developed and validated a quality assurance (QA) phantom that will facilitate the translation of a frameless volumetric modulated arc therapy radiosurgery technique.
Stanford has patented a fully homomorphic encryption (FHE) method, computer program, and apparatus that grant the ability to outsource data processing without giving away access to the data.
Stanford researchers have developed a streamlined method for simultaneously estimating a broad range of hydrocarbon fuel physical and chemical properties for a wide range of fuels.
Researchers in Prof. Christina Smolke's laboratory have engineered a conditional protein expression platform that enables complex regulatory programming in higher organisms through control of alternative splicing.
Stanford inventors from Professor Rhiju Das's lab have developed a method to optimize nucleic acids, including aptamers and messenger RNAs to be more effective in clinical settings.
Researchers in Stanford's Materials Science department have developed a method that makes use of core-shell nanowires for improved power rate and cycling life for the lithium battery.
This software tool takes clinical notes from veterinary electronic medical records and assigns SNOMED-CT VET extension diagnostic codes based on the content written on the notes.
Stanford researchers have discovered a fast, discriminative method for inferring local ancestry and correcting phase errors. This local ancestry inference method is both faster and more accurate than the previous state-of-the-art.
Researchers in Prof. Yi Cui's laboratory have used a novel electrospinning process to fabricate a unique, transparent, highly conductive metal nanofiber material that could be used to replace indium tin oxide (ITO) in transparent electrodes.
Stanford researchers developed a method to make large phase shifts with little or no power dissipation in integrated optics. The approach uses a directional coupler moved by a MEMS actuator to achieve a path delay, i.e. an effective change in refractive index.
Researchers in Prof. Steven Chu's laboratory have developed a fundamentally new method of acoustic imaging to improve resolution of ultrasound diagnostics.
Local image features have become pervasive in the areas of computer vision and image retrieval and are increasingly finding application in real-time object recognition, 3-D reconstruction, panorama stitching, robotic mapping, and video tracking.
This invention offers a cost-effective solution to streaming video to mobile users. A prototype has been implemented in software, demonstrating its low operational cost based on peer-to-peer technology and its robustness to peer failure.
Background. Image content description is used in a wide range of applications, including web-scale image search and real-time object recognition, but the effectiveness is constrained by a computational bottleneck.