This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Irina Fudulova: Innovator in Magnetic Resonance Imaging Technology
Introduction
Irina Fudulova is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of medical imaging, particularly in magnetic resonance imaging (MRI) technology. His innovative work has led to the development of a patented system that enhances the accuracy and efficiency of MRI procedures.
Latest Patents
Irina Fudulova holds a patent for an "Automated field of view alignment for magnetic resonance imaging." This medical system comprises a memory that stores machine-executable instructions and a predictor algorithm. The algorithm is designed to output predicted field of view alignment data for an MRI system in response to localizer magnetic resonance images and subject metadata. The system utilizes a trainable machine learning algorithm to improve the alignment process, thereby enhancing the overall imaging quality.
Career Highlights
Irina Fudulova is associated with Koninklijke Philips Corporation N.V., a leading company in healthcare technology. His work at Philips has focused on advancing medical imaging solutions, contributing to the development of innovative technologies that improve patient outcomes. His expertise in machine learning and medical systems has positioned him as a key player in the field.
Collaborations
Irina collaborates with Fedor Mushenok, who is also involved in the development of advanced medical technologies. Their partnership has fostered innovation and has led to the successful implementation of new imaging techniques.
Conclusion
Irina Fudulova's contributions to magnetic resonance imaging technology exemplify the impact of innovation in healthcare. His patented work not only enhances imaging accuracy but also demonstrates the potential of machine learning in medical applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
