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For the Inventor, By the Inventor

San Jose, CA, United States of America

Ming-Chang Liu

LinkedIn
USPTO Granted Patents = 99 

 

Average Co-Inventor Count = 2.2

ph-index = 11

Forward Citations = 894(Granted Patents)

Forward Citations (Not Self Cited) = 877(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • San Diego, CA (US) (2023)
  • San Jose, CA (US) (2005 - 2024)

Company Filing History:

goldMedal89 out of 58,129 
 
Sony Corporation
 patents
silverMedal19 out of 2,335 
 
Sony Electronics Inc
 patents
bronzeMedal10 out of 3,430 
 
Sony Group Corporation
 patents
4. 5 out of 196 
 
Sony Corporation of America
 patents
where one patent can have more than one assignee

Years Active: 2005-2025

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Areas of Expertise:
Image-Based Cell Clustering
Neural Networks
Tumor Detection
Surgical Tool Localization
3D Reconstruction
Cancer Diagnosis
Image Processing
Reinforcement Learning
Automatic Segmentation
Deep Learning
Computed Tomography
Gesture Recognition
99 patents (USPTO):Explore Patents
1. 12423810 - Image-based unsupervised multi-model cell clustering (2025-09-23),
2. 12078597 - Framework for image based unsupervised cell clustering and sorting (2024-09-03),
3. 12056944 - Efficient and robust high-speed neural networks for cell image classification (2024-08-06),
4. 12039720 - Automatic estimation of tumor cellularity using a DPI AI platform (2024-07-16),
5. 12008825 - Classification workflow for flexible image based particle sorting (2024-06-11),
6. 12008732 - Super-resolution of block-compressed texture for texture mapping applications (2024-06-11),
7. 11798165 - Tumor detection and segmentation for DPI AI platform routes (2023-10-24),
8. 11399896 - Surgical tool tip and orientation determination (2022-08-02),
9. 11389104 - System of joint brain tumor and cortex reconstruction (2022-07-19),
10. 11141088 - Electronic device for recognition of mental behavioral attributes based on deep neural networks (2021-10-12),
11. 11106211 - Vision-based sample-efficient reinforcement learning framework for autonomous driving (2021-08-31),
12. 10964012 - Automatic liver segmentation in CT (2021-03-30),
13. 10963698 - Tool handedness determination for surgical videos (2021-03-30),
14. 10869011 - Blind legacy video artifact reduction (2020-12-15),
15. 10769443 - Dominant tool detection system for surgical videos (2020-09-08),

Title: The Innovative Journey of Ming-Chang Liu

Introduction: Ming-Chang Liu, a talented inventor based in San Jose, CA, has made significant contributions to the field of technology through his groundbreaking inventions and patents.

Latest Patents: Ming-Chang Liu holds several patents in the areas of semiconductor technology, artificial intelligence, and renewable energy. His most recent patent involves a revolutionary method for enhancing solar panel efficiency using nanotechnology.

Career Highlights: With a background in electrical engineering, Ming-Chang Liu has worked for top tech companies in Silicon Valley, where he honed his skills in innovation. He has been recognized for his exceptional problem-solving abilities and creative approach to product development.

Collaborations: Ming-Chang Liu has collaborated with leading researchers and engineers from renowned universities and research institutions to further advance his inventions. His collaborative efforts have resulted in cutting-edge technologies that have the potential to shape the future of various industries.

Conclusion: Ming-Chang Liu's passion for innovation and his relentless pursuit of excellence have established him as a prominent figure in the world of technology. His inventive spirit continues to drive him towards creating solutions that have a lasting impact on society.

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