Company Filing History:
Years Active: 2025
Title: Inventor Profile: Balázs P. Cziria
Introduction
Balázs P. Cziria is a notable inventor based in Budapest, Hungary, recognized for his advancements in the field of medical imaging. With a keen focus on artificial intelligence and its application in healthcare, Cziria's contributions aim to enhance the accuracy and reliability of diagnostic imaging techniques.
Latest Patents
Cziria holds a patent for an "Artificial Intelligence-Based Dual Energy X-Ray Image Motion Correction Training Method and System." This innovative system employs artificial intelligence to minimize motion artifacts in images produced by dual energy x-ray imaging systems. The method of operation is designed to train the motion correction system by applying simulated motion to various objects within the low energy (LE) and high energy (HE) projections. This technology significantly enhances the registration of LE and HE projections by employing noise attenuation and edge detection techniques, improving the correction of small motion artifacts. Moreover, the system allows for separate motion corrections for soft and bone tissue, and it includes a motion alarm feature to indicate when a retake is necessary.
Career Highlights
Balázs P. Cziria is affiliated with GE Precision Healthcare LLC, where he continues to innovate and improve medical imaging solutions. His work is pivotal in addressing challenges related to motion artifacts that can compromise the quality of medical images. Cziria's dedication to combining artificial intelligence with healthcare has positioned him as a leader in his field.
Collaborations
Throughout his career, Cziria has collaborated with talented professionals such as German Guillermo Vera Gonzalez and Tao Tan. These partnerships foster an environment of creativity and innovation, allowing them to tackle complex problems in imaging technology together.
Conclusion
Balázs P. Cziria stands out as an innovative mind in the medical imaging sector, leveraging artificial intelligence to improve image quality and diagnostic accuracy. His contributions not only reflect his expertise but also signify a commitment to advancing healthcare technology for better patient outcomes.