Cleveland, OH, United States of America

Pengjiang Qian


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Pengjiang Qian: Innovator in Medical Imaging Technology

Introduction

Pengjiang Qian is a notable inventor based in Cleveland, OH (US), recognized for his contributions to the field of medical imaging. He has developed innovative systems and methods that leverage machine learning to enhance the translation of medical images. His work is pivotal in improving diagnostic accuracy and patient care.

Latest Patents

Pengjiang Qian holds a patent for "Systems and methods for translation of medical imaging using machine learning." This patent describes a process where a medical image with one contrast characteristic is emulated from images with different contrast characteristics. The method involves receiving a plurality of input images of a region of interest and applying a machine learning-generated transform to produce a scalar or vector value representing the corresponding voxel of the medical image to be evaluated. This innovative approach has the potential to significantly advance the capabilities of medical imaging technologies.

Career Highlights

Throughout his career, Pengjiang Qian has worked with prominent organizations, including Koninklijke Philips Corporation N.V. and Case Western Reserve University. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research in medical imaging.

Collaborations

Some of his notable coworkers include Lingzhi Hu and Lingxiong Shao. Their collaborative efforts have furthered advancements in the application of machine learning in medical imaging.

Conclusion

Pengjiang Qian's innovative work in medical imaging technology exemplifies the impact of machine learning on healthcare. His contributions are paving the way for more accurate and efficient diagnostic tools, ultimately benefiting patient outcomes.

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