Bellevue, WA, United States of America

Allen Lu


Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • New Haven, CT (US) (2020)
  • Bellevue, WA (US) (2021 - 2023)

Company Filing History:


Years Active: 2020-2023

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4 patents (USPTO):

Title: Allen Lu - Innovator in Medical Imaging Technology

Introduction

Allen Lu is a prominent inventor based in Bellevue, WA (US), known for his contributions to the field of medical imaging technology. With a total of 4 patents to his name, he has made significant strides in automating echocardiograph measurements, enhancing the efficiency and accuracy of medical diagnostics.

Latest Patents

One of Allen Lu's latest patents focuses on the automated extraction of echocardiograph measurements from medical images. This innovative system utilizes mechanisms that receive medical imaging data, which includes one or more medical images. The images are then processed through a deep learning network that automatically generates an extracted echocardiograph measurement vector output. This output comprises one or more values for echocardiograph measurements derived from the medical images. The deep learning network subsequently delivers the extracted measurement vector to a medical image viewer, streamlining the diagnostic process.

Career Highlights

Allen Lu is currently employed at the International Business Machines Corporation (IBM), where he continues to develop cutting-edge technologies in medical imaging. His work is instrumental in advancing the capabilities of echocardiography, making it more accessible and efficient for healthcare professionals.

Collaborations

Throughout his career, Allen has collaborated with talented individuals such as Ehsan Dehghan Marvast and Tanveer Fathima Syeda-Mahmood. These collaborations have fostered innovation and have contributed to the successful development of his patented technologies.

Conclusion

Allen Lu's work in the field of medical imaging exemplifies the impact of innovation on healthcare. His patents not only enhance the accuracy of echocardiographic measurements but also demonstrate the potential of deep learning in medical diagnostics.

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