Boston, MA, United States of America

Dufan Wu

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: The General Hospital Corporation. Active years: 2025.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Dufan Wu: Innovator in Deep Learning Image Processing

Introduction

Dufan Wu is a prominent inventor based in Boston, MA (US). He has made significant contributions to the field of digital breast tomosynthesis (DBT) through his innovative patents. With a total of 2 patents, Wu is recognized for his advancements in image processing techniques that enhance medical imaging.

Latest Patents

Wu's latest patents focus on systems and methods for artifact reduction in tomosynthesis using multi-scale deep learning image processing. The first patent describes a multi-scale deep learning-based DBT image reconstruction that mitigates the superposition of breast tissue and limited angular artifacts. This innovation improves the in-depth resolution of the resulting images. A multi-scale deep neural network is employed, where one network targets limited angular artifacts reduction, while another focuses on image detail refinement. The output from the first network serves as input for the second, effectively reducing sparse-view artifacts without compromising image sharpness and contrast. Additionally, a deep neural network is trained to minimize training-time computational costs, utilizing an ROI loss method for further enhancement of image resolution and contrast.

The second patent also addresses artifact reduction in DBT through deep learning image processing. Similar to the first, it aims to mitigate limited angular artifacts and enhance the in-depth resolution of images. The systems and methods outlined in this patent also focus on reducing sparse-view artifacts while maintaining image quality.

Career Highlights

Dufan Wu is currently employed at The General Hospital Corporation, where he continues to develop innovative solutions in medical imaging. His work has garnered attention for its potential to improve diagnostic accuracy and patient outcomes.

Collaborations

Wu collaborates with esteemed colleagues, including Kyungsang Kim and Quanzheng Li, who contribute to his research and development efforts in the field of deep learning and image processing.

Conclusion

Dufan Wu's contributions to deep learning image processing in digital breast tomosynthesis represent a significant advancement in medical imaging technology. His innovative patents and ongoing work at The General Hospital Corporation highlight his commitment to improving healthcare through technology.

Profile summary based on public USPTO records.
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