Company Filing History:
Years Active: 2024-2025
Title: Jialiang Ren: Innovator in Medical Imaging Technology
Introduction
Jialiang Ren is a prominent inventor based in Beijing, China. He has made significant contributions to the field of medical imaging technology, holding 2 patents that showcase his innovative approach to enhancing medical image acquisition and processing.
Latest Patents
One of Jialiang Ren's latest patents is a "Medical image acquisition apparatus and method." This invention provides a comprehensive solution for preprocessing original image signals to generate multiple input images. The apparatus includes a preprocessing unit and a determination unit that utilizes a training model to analyze pixel relationships, ultimately producing medical functional parameter diagrams. This innovation enables rapid calculations of SyMRI function parameter diagrams while ensuring high scalability.
Another notable patent is the "Image noise reduction method and device." This invention outlines a method for reducing image noise using a deep learning network. The process involves analyzing an original scanned object image to identify noise and subsequently generating a denoised image. This method is particularly effective as it is trained on both low and high signal-to-noise ratio images, enhancing the quality of medical imaging.
Career Highlights
Jialiang Ren is currently associated with Ge Precision Healthcare LLC, where he continues to develop cutting-edge technologies in the medical imaging sector. His work focuses on improving the accuracy and efficiency of medical imaging processes, which is crucial for patient diagnosis and treatment.
Collaborations
Jialiang has collaborated with talented individuals such as Zhoushe Zhao and Jingjing Xia. Their combined expertise contributes to the advancement of innovative solutions in medical imaging.
Conclusion
Jialiang Ren's contributions to medical imaging technology through his patents reflect his commitment to innovation and excellence. His work not only enhances the capabilities of medical imaging but also plays a vital role in improving healthcare outcomes.