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For the Inventor, By the Inventor

Plainsboro, NJ, United States of America

Shaohua Kevin Zhou

This inventor holds 119 USPTO granted patents and 8 published patent applications and 21 EPO patents, primarily in Medical Image Segmentation (CPC class G06T2207-20081). Top assignees: Siemens Healthcare Gmbh, Siemens Aktiengesellschaft, Siemens Medical Solutions USA, Inc.. Active years: 2009-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shaohua Kevin Zhou. Retrieved from https://idiyas.com/inventor/shaohua-kevin-zhou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 119 

% Patents Active = 84.0

 

Average Co-Inventor Count = 4.5

ph-index = 13

Forward Citations = 881(Granted Patents)

Forward Citations (Not Self Cited) = 828(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Plainsboro, NJ (US) (2009 - 2022)
  • Princeton, NJ (US) (2019 - 2023)

Company Filing History:

goldMedal60 out of 2,343 
 
Siemens Healthcare Gmbh
 patents
silverMedal27 out of 30,886 
 
Siemens Aktiengesellschaft
 patents
bronzeMedal13 out of 2,145 
 
Siemens Medical Solutions USA, Inc.
 patents
4. 12 out of 425 
 
Siemens Corporation
 patents
5. 8 out of 1,345 
 
Siemens Energy, Inc.
 patents
6. 2 out of 206 
 
Siemens Product Lifecycle Management Software Inc.
 patents
7. 1 out of 3,803 
 
Johns Hopkins University
 patents
8. 1 out of 1 
 
Z2sky Technologies Inc.
 patent
where one patent can have more than one assignee

Years Active: 2009-2024

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Areas of Expertise:
Medical Imaging
Image Segmentation
Deep Learning
3D Reconstruction
MRI Evaluation
Landmark Detection
Neural Networks
Image Analysis
Artificial Intelligence
Computed Tomography
Cancer Detection
Radiation Therapy
119 patents (USPTO):Explore Patents
1. 12171614 - Three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging (2024-12-24),
2. 11806189 - Three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging (2023-11-07),
3. 11534136 - Three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging (2022-12-27),
4. 11393229 - Method and system for artificial intelligence based medical image segmentation (2022-07-19),
5. 11328412 - Hierarchical learning of weights of a neural network for performing multiple analyses (2022-05-10),
6. 11311270 - Intervolume lesion detection and image preparation (2022-04-26),
7. 11229377 - System and method for next-generation MRI spine evaluation (2022-01-25),
8. 11210779 - Detection and quantification for traumatic bleeding using dual energy computed tomography (2021-12-28),
9. 11185231 - Intelligent multi-scale medical image landmark detection (2021-11-30),
10. 11120582 - Unified dual-domain network for medical image formation, recovery, and analysis (2021-09-14),
11. 11055847 - Adversarial and dual inverse deep learning networks for medical image analysis (2021-07-06),
12. 10910099 - Segmentation, landmark detection and view classification using multi-task learning (2021-02-02),
13. 10878219 - Method and system for artificial intelligence based medical image segmentation (2020-12-29),
14. 10779785 - Semantic segmentation for cancer detection in digital breast tomosynthesis (2020-09-22),
15. 10748277 - Tissue characterization based on machine learning in medical imaging (2020-08-18),

Title: **Shaohua Kevin Zhou: A Pioneer in Medical Imaging Innovations**

Introduction

Shaohua Kevin Zhou is a prominent inventor based in Plainsboro, NJ, USA. With an impressive portfolio of 119 patents, he has made significant contributions to the field of medical imaging. His work primarily focuses on advancing the technologies that aid in the diagnosis and treatment of heart-related conditions.

Latest Patents

One of his latest patents involves a method for **three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging**. This innovative approach utilizes a machine-learnt multi-task generator, which significantly improves the efficiency of generating 3D segmentations from traditional 2D ICE images. By training on 3D information from sparse ICE volumes, rather than relying solely on 2D images, this technology enhances the precision of imaging. In cases where adequate ground truth data is lacking, computed tomography or magnetic resonance imaging can serve as an effective substitute. The generator not only produces 3D segmentation but also generates a complete volume, adding more voxels than what the sparse ICE volume presents. This 3D data can also be converted to 2D for additional analysis, ultimately aiding in the guidance for patient tissue ablation procedures.

Career Highlights

Throughout his career, Shaohua Kevin Zhou has worked with renowned institutions such as Siemens Healthcare GmbH and Siemens Aktiengesellschaft. His innovative contributions have positioned him as a leading figure in the medical imaging sector, where the implications of his work are profoundly impactful on patient healthcare.

Collaborations

In his journey of innovation, Zhou has collaborated with esteemed colleagues including Dorin Comaniciu and David D Liu. These partnerships exemplify the collective effort in pushing the boundaries of medical technology and enhancing clinical practices.

Conclusion

Shaohua Kevin Zhou stands out in the realm of inventions, particularly in advancing medical imaging techniques. With a vast number of patents to his name and a robust career underscored by impactful collaborations, he continues to shape the future of healthcare technology through his groundbreaking work.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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