Our research into the guidance of biomedical tools applies novel optics and computer vision algorithms to the design and real-time analysis of biomedical imaging modalities such as OCT and ultrasound. We use computer vision to assist human placement of biomedical scanners, and we use novel visualization of biomedical images to better guide human manipulation of tools.
Displaying 13 Publications
Toward Practical Ultrasound AI Across Real-World Patient Diversity
This work proposes a method for enhancing deep learning models’ capabilities by generating synthetic, or augmented, data which is transformed in a manner designed to account for various body types, injury scenarios, and imaging features.