Yingda Xia

Title: Innovations and Contributions of Inventor Yingda Xia

Introduction

Yingda Xia is a prominent inventor based in Baltimore, MD (US), known for his significant contributions to the field of image analysis and neural networks. With a total of 4 patents, he has made remarkable advancements that enhance the capabilities of image processing technologies.

Latest Patents

One of his latest patents is titled "Multi-view image analysis using neural networks." This innovation allows for volumetric quantification of various parameters of an object represented in volumetric data. Multiple views of the object can be generated and provided to a set of neural networks that generate inferences in parallel. The inferences from different networks can be utilized to create pseudo-labels for data comparison, enabling a co-training loss to be determined for unlabeled data. This co-training loss can subsequently update the relevant network parameters for the overall data analysis network. If supervised data is available, the network parameters can be further refined using the supervised loss.

Another significant patent is the "System and method for multi-scale coarse-to-fine segmentation of images to detect pancreatic ductal adenocarcinoma." This invention involves methods, systems, apparatus, and computer programs for processing images through multiple neural networks trained to detect pancreatic ductal adenocarcinoma. The method includes obtaining a first image depicting a volume of voxels, performing coarse segmentation using a trained neural network, and determining a region of interest based on the coarse segmentation. Multi-stage fine segmentation is then performed on other images based on this region to generate output data, ultimately determining whether the first image depicts a tumor.

Career Highlights

Yingda Xia has worked with notable organizations such as Nvidia Corporation and The Johns Hopkins University. His experience in these esteemed institutions has contributed to his expertise in neural networks and image analysis.

Collaborations

Yingda has collaborated with professionals like Holger Reinhard Roth and Dong Yang, further enhancing his research and development efforts in the field.

Conclusion

Yingda Xia's innovative work in image analysis and neural networks has led to significant advancements in the detection and quantification of medical conditions. His contributions continue to influence the field and pave the way for future innovations.