S23-040 Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT Researchers at Stanford University have established a deep learning segmentation algorithm for non-contrast CT images to aid clinicians in decision making and improve the speed of symptom to treatment in acute ischemic stroke Sophie Ostmeier Jeremy Heit Brian Axelrod
S19-059 Improved Virtual-to-Real Alignment for Augmented Reality Researchers at Stanford have developed a software application solution to the spatial computing problem of aligning virtual content to the real world. Christoph Leuze Supriya Sathyanarayana Jennifer McNab