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For the Inventor, By the Inventor

Cambridge, MA, United States of America

Minnan Xu

USPTO Granted Patents = 17 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 40(Granted Patents)


Location History:

  • Sleepy Hollow, NY (US) (2020 - 2022)
  • Cambridge, MA (US) (2016 - 2024)

Company Filing History:

goldMedal15 out of 21,361 
 
Koninklijke Philips Corporation N.v.
 patents
silverMedal2 out of 262 
 
Massachusetts Eye and Ear Infirmary
 patents
bronzeMedal1 out of 889 
 
The United States Government As Represented by the Department of Veterans Affairs
 patents
where one patent can have more than one assignee

Years Active: 2016-2025

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17 patents (USPTO):
1. 12327399 - Co-training framework to mutually improve concept extraction from clinical notes and medical image classification (2025-06-10),
2. 12183105 - Method to improve instance selection in bootstrapping framework for concept extraction from text documents (2024-12-31),
3. 11904224 - System and method for client-side physiological condition estimations based on a video of an individual (2024-02-20),
4. 11875277 - Learning and applying contextual similiarities between entities (2024-01-16),
5. 11676733 - Learning and applying contextual similarities between entities (2023-06-13),
6. 11651289 - System to identify and explore relevant predictive analytics tasks of clinical value and calibrate predictive model outputs to a prescribed minimum level of predictive accuracy (2023-05-16),
7. 11640852 - System for laboratory values automated analysis and risk notification in intensive care unit (2023-05-02),
8. 11620554 - Electronic clinical decision support device based on hospital demographics (2023-04-04),
9. 11406323 - Method and system for monitoring sleep quality (2022-08-09),
10. 11337616 - Fetal heart rate extraction from maternal abdominal ECG recordings (2022-05-24),
11. 11126921 - Learning and applying contextual similarities between entities (2021-09-21),
12. 11020092 - Multi-site concurrent ultrasound blood flow velocity measurement for continuous hemodynamic management (2021-06-01),
13. 10929774 - Robust classifier (2021-02-23),
14. 10869631 - Method and system for assessing fluid responsiveness using multimodal data (2020-12-22),
15. 10571715 - Adaptive visual assistive device (2020-02-25),

Title: The Innovative Contributions of Minnan Xu

Introduction

Minnan Xu is a prominent inventor based in Cambridge, MA, known for his significant contributions to the fields of machine learning and medical imaging. With a total of 17 patents to his name, Xu has developed innovative systems and methods that enhance the extraction of concepts from clinical notes and improve medical image classification.

Latest Patents

Among his latest patents is a co-training framework designed to mutually improve concept extraction from clinical notes and medical images. This system involves training a text report identification machine learning model alongside an image identification machine learning model. The process includes initially training both models using labeled datasets, applying them to unlabeled reports and images, and iteratively refining the models based on the results. Another notable patent focuses on improving instance selection in a bootstrapping framework for concept extraction from text documents. This method employs unsupervised training techniques to label text reports and validate images, ultimately enhancing the performance of the text report machine learning model.

Career Highlights

Minnan Xu has worked with esteemed organizations such as Koninklijke Philips Corporation and Massachusetts Eye and Ear Infirmary. His experience in these institutions has allowed him to apply his innovative ideas in practical settings, contributing to advancements in healthcare technology.

Collaborations

Throughout his career, Xu has collaborated with talented individuals, including Bryan Conroy and Cristhian Mauricio Potes Blandon. These partnerships have fostered a creative environment that encourages the development of groundbreaking solutions in the field of machine learning.

Conclusion

Minnan Xu's work exemplifies the intersection of technology and healthcare, showcasing how innovative inventions can lead to significant improvements in medical practices. His contributions continue to influence the landscape of machine learning and medical imaging.

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