This inventor holds 2 USPTO granted patents. Top assignee: Petuum Inc.. Active years: 2020-2022.
Company Filing History:
Years Active: 2020-2022
Title: Joseph Doyle - Innovator in Medical Imaging Technology
Introduction
Joseph Doyle is a notable inventor based in Marlton, NJ (US). He has made significant contributions to the field of medical imaging, particularly in the area of chest X-ray analysis. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of organ segmentation in medical imaging.
Latest Patents
One of Joseph Doyle's latest patents is titled "Structure Correcting Adversarial Network for Chest X-Rays Organ Segmentation." This invention discloses a method to train a convolutional segmentation network using chest X-ray images. The goal is to generate pixel-level predictions of target classes. Another embodiment of this patent involves training a critic network with an input mask. This input mask can be either a segmentation network mask or a ground truth annotation. The critic network outputs a probability indicating whether the input mask is the ground truth annotation rather than the prediction made by the segmentation network. This probability is then provided to the segmentation network to guide it in generating masks that are more consistent with learned higher-order structures.
Career Highlights
Joseph Doyle is currently employed at Petuum Inc., where he continues to develop innovative solutions in the realm of artificial intelligence and medical imaging. His work is instrumental in advancing the capabilities of convolutional neural networks in healthcare applications.
Collaborations
Throughout his career, Joseph has collaborated with esteemed colleagues such as Eric Xing and Wei Dai. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Joseph Doyle's contributions to medical imaging technology through his patents and collaborations highlight his role as an innovator in the field. His work not only enhances the accuracy of medical diagnoses but also paves the way for future advancements in healthcare technology.