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For the Inventor, By the Inventor

Bethesda, MD, United States of America

Le Lu

USPTO Granted Patents = 25 

Average Co-Inventor Count = 4.7

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Poolesville, MD (US) (2021)
  • Bethesda, MD (US) (2022 - 2024)

Company Filing History:

goldMedal23 out of 165 
 
Ping an Technology (shenzhen) Co., Ltd.
 patents
silverMedal2 out of 3,435 
 
National Institutes of Health, a Component of the US Dept. of Health & Human Services
 patents
bronzeMedal1 out of 34 
 
Chang Gung Memorial Hospital, Linkou
 patents
where one patent can have more than one assignee

Years Active: 2021-2024

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25 patents (USPTO):Explore Patents
1. 12094114 - Method, system, and storage medium for opportunistic screening of osteoporosis using plain film chest X-ray (CXR) (2024-09-17),
2. 11900596 - Method, device, and storage medium for weakly-supervised universal lesion segmentation with regional level set loss (2024-02-13),
3. 11900592 - Method, device, and storage medium for pancreatic mass segmentation, diagnosis, and quantitative patient management (2024-02-13),
4. 11823381 - Knowledge distillation with adaptive asymmetric label sharpening for semi-supervised fracture detection in chest x-rays (2023-11-21),
5. 11790528 - Preoperative survival prediction method based on enhanced medical images and computing device using thereof (2023-10-17),
6. 11763468 - Structured landmark detection via topology-adapting deep graph learning (2023-09-19),
7. 11704798 - Method and device for vertebra localization and identification (2023-07-18),
8. 11701066 - Device and method for detecting clinically important objects in medical images with distance-based decision stratification (2023-07-18),
9. 11620747 - Method and system for image segmentation using a contour transformer network model (2023-04-04),
10. 11620745 - Method and system for harvesting lesion annotations (2023-04-04),
11. 11620359 - Method, device, and computer program product for self-supervised learning of pixel-wise anatomical embeddings in medical images (2023-04-04),
12. 11583239 - Method and system of building hospital-scale chest X-ray database for entity extraction and weakly-supervised classification and localization of common thorax diseases (2023-02-21),
13. 11568174 - Co-heterogeneous and adaptive 3D pathological abdominal organ segmentation using multi-source and multi-phase clinical image datasets (2023-01-31),
14. 11410309 - Method, device, and computer program product for deep lesion tracker for monitoring lesions in four-dimensional longitudinal imaging (2022-08-09),
15. 11403493 - Device and method for universal lesion detection in medical images (2022-08-02),

Title: The Innovative Contributions of Le Lu in Osteoporosis Screening and Lesion Segmentation

Introduction:

Le Lu, a prominent inventor based in Bethesda, MD, has made significant strides in the fields of medical imaging and artificial intelligence. With a remarkable portfolio of 25 patents, he exemplifies the intersection of healthcare technology and innovative thinking. His recent contributions focus on improving diagnostic methods, showcasing his dedication to enhancing medical practices.

Latest Patents:

Among his latest patents, Le Lu developed a method for opportunistic screening of osteoporosis using plain film chest X-rays. This innovative approach involves extracting regions of interest (ROIs) from the X-ray images and providing tailored bone mineral density (BMD) scores through advanced analytical techniques. His method employs a multi-ROI model, utilizing a backbone network to generate individual feature vectors and collectively decoding them to yield significant BMD insights.

In addition, Le Lu has contributed to the advancement of universal lesion segmentation with a method, device, and storage medium that utilizes an attention-enhanced high-resolution network (AHRNet). This invention enhances the accuracy of image segmentation by effectively generating and updating probability maps, thereby streamlining the identification of lesions in medical images.

Career Highlights:

Le Lu's career includes notable engagements with respected organizations such as Ping An Technology Co., Ltd. based in Shenzhen, China, and the United States Department of Health and Human Services. His professional journey reflects a commitment to pushing the boundaries of medical imaging technologies.

Collaborations:

Collaboration is key in the innovative process, and Le Lu has worked alongside talented individuals like Adam Patrick Harrison and Jinzheng Cai. Together, they have contributed to advancements that significantly impact medical diagnostics and patient care.

Conclusion:

Le Lu’s innovative contributions to the fields of osteoporosis screening and lesion segmentation underscore the importance of technology in healthcare. With a portfolio of 25 patents, his work not only revolutionizes diagnostic practices but also enhances the way medical professionals approach patient care. His ongoing collaboration with industry colleagues indicates a promising future for further advancements in medical imaging technologies.

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