Company Filing History:
Years Active: 2021-2024
Title: Lingxi Xie: Innovator in Image Processing and Artificial Intelligence
Introduction
Lingxi Xie is a prominent inventor based in Beijing, China. She has made significant contributions to the fields of image processing and artificial intelligence. With a total of 4 patents, her work focuses on advanced methods for detecting pancreatic ductal adenocarcinoma and optimizing neural network architectures.
Latest Patents
Lingxi Xie's latest patents include a system and method for multi-scale coarse-to-fine segmentation of images to detect pancreatic ductal adenocarcinoma. This innovative method involves obtaining a first image that depicts a first volume of voxels and performing coarse segmentation using a neural network trained for this specific task. The process includes determining a region of interest and conducting multi-stage fine segmentation on additional images to ascertain whether the first image depicts a tumor. Another notable patent is her neural architecture search method and image processing method and apparatus. This invention provides a framework for determining search space and construction units, optimizing network architectures, and establishing a target neural network based on these optimized units.
Career Highlights
Lingxi Xie has worked with esteemed organizations such as Johns Hopkins University and Huawei Technologies Co., Limited. Her experience in these institutions has allowed her to collaborate on cutting-edge research and development projects in the realm of artificial intelligence and computer vision.
Collaborations
Some of her notable coworkers include Alan Yuille and Elliott Fishman. Their collaboration has contributed to the advancement of technologies in image processing and artificial intelligence.
Conclusion
Lingxi Xie's innovative work in image processing and artificial intelligence has positioned her as a leading inventor in her field. Her patents reflect her commitment to advancing technology for medical applications and optimizing neural networks.