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For the Inventor, By the Inventor

San Ramon, CA, United States of America

Min Zhang

USPTO Granted Patents = 19 

Average Co-Inventor Count = 3.0

ph-index = 4

Forward Citations = 62(Granted Patents)


Company Filing History:

goldMedal13 out of 51,929 
 
General Electric Company
 patents
silverMedal6 out of 1,102 
 
Ge Precision Healthcare LLC
 patents

Years Active: 2019-2024

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19 patents (USPTO):Explore Patents
1. 11984201 - Medical machine synthetic data and corresponding event generation (2024-05-14),
2. 11688518 - Deep neural network based identification of realistic synthetic images generated using a generative adversarial network (2023-06-27),
3. 11593650 - Determining confident data samples for machine learning models on unseen data (2023-02-28),
4. 11537885 - Freeze-out as a regularizer in training neural networks (2022-12-27),
5. 11514329 - Data-driven deep learning model generalization analysis and improvement (2022-11-29),
6. 11507822 - Scalable artificial intelligence model generation systems and methods for healthcare (2022-11-22),
7. 11475250 - Concurrent image and corresponding multi-channel auxiliary data generation for a generative model (2022-10-18),
8. 11404145 - Medical machine time-series event data processor (2022-08-02),
9. 11093820 - Image analysis using deviation from normal data (2021-08-17),
10. 11074687 - Deep convolutional neural network with self-transfer learning (2021-07-27),
11. 11074482 - Classification and localization based on annotation information (2021-07-27),
12. 11049239 - Deep neural network based identification of realistic synthetic images generated using a generative adversarial network (2021-06-29),
13. 11010642 - Concurrent image and corresponding multi-channel auxiliary data generation for a generative model (2021-05-18),
14. 10885400 - Classification based on annotation information (2021-01-05),
15. 10796221 - Deep learning architecture for automated image feature extraction (2020-10-06),

Title: Innovator Spotlight: Min Zhang and His Contributions to Medical Machine Technology

Introduction: Min Zhang, an innovative inventor based in San Ramon, California, has made significant strides in the field of medical technology with a remarkable portfolio of 19 patents. His work primarily focuses on the generation of synthetic data for medical machines, utilizing advanced artificial intelligence techniques.

Latest Patents: Among his latest patents are groundbreaking technologies related to medical machine time-series event data generation. The developed systems, apparatus, instructions, and methods aim to produce synthetic data sets that include multi-channel time-series data along with associated annotations. This is achieved using a first artificial intelligence network model that analyzes synthetic data sets in relation to real data, utilizing feedback loops to optimize performance. Additionally, Min has pioneered techniques for identifying realistic synthetic images generated via generative adversarial networks (GANs). His innovative system employs deep neural networks to classify images as either real or not, enhancing the reliability of synthetic data applications.

Career Highlights: Min Zhang’s career is marked by his tenure at prominent companies such as General Electric Company and GE Precision Healthcare LLC. His contributions in these organizations have had a profound impact on their technological advancements, particularly in the integration of AI with medical machinery.

Collaborations: Throughout his career, Min has had the privilege of collaborating with talented colleagues, including Gopal Biligeri Avinash and Ravi Soni. These partnerships have fostered an environment of innovation, leading to the development of transformative technologies in the healthcare sector.

Conclusion: With his impressive portfolio of patents and a robust career in medical technology, Min Zhang stands out as a leading inventor in his field. His work continues to shape the future of how medical machines generate and analyze data, ultimately contributing to improved healthcare outcomes.

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