Company Filing History:
Years Active: 2023
Title: Amirhossein Kiani: Innovator in Radiology Image Classification
Introduction
Amirhossein Kiani is a notable inventor based in Stanford, California. He has made significant contributions to the field of medical imaging, particularly in the classification of radiology images. His innovative work aims to enhance the accuracy and efficiency of image analysis in medical diagnostics.
Latest Patents
Kiani holds a patent for "Systems and methods for radiology image classification from noisy images." This invention includes a noisy image classification device that utilizes a processor, camera circuitry, and a memory containing a classification application. The application directs the processor to obtain image data from a noisy version of an image produced by a medical imaging device. It classifies the image data using a neural network trained to be robust to noise and generates an investigation recommendation based on the classification.
Career Highlights
Amirhossein Kiani is affiliated with Leland Stanford Junior University, where he continues to advance his research in medical imaging technologies. His work is pivotal in improving the diagnostic capabilities of radiology through innovative image classification methods.
Collaborations
Kiani has collaborated with esteemed colleagues such as Sharon Zhou and Andrew Y Ng, contributing to the advancement of technology in the medical field.
Conclusion
Amirhossein Kiani's contributions to radiology image classification demonstrate his commitment to innovation in medical technology. His work not only enhances diagnostic processes but also showcases the potential of neural networks in overcoming challenges in image analysis.