Greg Zaharchuk

USPTO Granted Patents = 12 (Patent Applications = 1)

EPO Patents = 4 (Patent Applications = 5)

Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 22(Granted Patents)

Location History:

San Francisco, CA (US) (2007)
Stanford, CA (US) (2015 - 2024)
Palo Alto, CA (US) (2024)

Company Filing History:

10 out of 5,309

Leland Stanford Junior University

patents

2 out of 51,907

General Electric Company

patents

1 out of 1,083

Ge Precision Healthcare LLC

patents

where one patent can have more than one assignee

Years Active: 2007-2024

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12 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12136473 - Methods of predicting disorder progression for control arms within an experimental trial (2024-11-05),

2. 11935231 - Contrast dose reduction for medical imaging using deep learning (2024-03-19),

3. 11880962 - System and method for synthesizing magnetic resonance images (2024-01-23),

4. 11844636 - Dose reduction for medical imaging using deep convolutional neural networks (2023-12-19),

5. 11361431 - Dose reduction for medical imaging using deep convolutional neural networks (2022-06-14),

6. 10997716 - Contrast dose reduction for medical imaging using deep learning (2021-05-04),

7. 10859657 - MRI reconstruction using deep learning, generative adversarial network and acquisition signal model (2020-12-08),

8. 10775466 - System and method for magnetic resonance imaging an object via a stochastic optimization of a sampling function (2020-09-15),

9. 10467751 - Quality of medical images using multiple-contrast and deep learning (2019-11-05),

10. 10096109 - Quality of medical images using multi-contrast and deep learning (2018-10-09),

11. 8929972 - Arterial spin labeling MRI-based correction factor for improving quantitative accuracy of blood flow and volume images (2015-01-06),

12. 7276904 - Method for generating T1-weighted magnetic resonance images and quantitative T1 maps (2007-10-02),

Title: Greg Zaharchuk: Innovator in Medical Imaging and Predictive Modeling

Introduction

Greg Zaharchuk is a prominent inventor based in Stanford, CA (US), known for his significant contributions to the field of medical imaging and predictive modeling. With a total of 12 patents to his name, Zaharchuk has made strides in developing methods that enhance the accuracy and efficiency of medical diagnostics.

Latest Patents

Zaharchuk's latest patents include innovative methods for predicting disorder progression within experimental trials. These methods provide a predictive model that can forecast the progression of medical disorders or relevant imaging biomarkers. This predictive capability can be utilized as a control to assess the effectiveness of experimental treatments on the progression of medical disorders. Additionally, he has developed a method for diagnostic imaging that reduces the required contrast agent dose by employing a deep learning network. This network is trained using zero-contrast and low-contrast images, allowing for the prediction of synthesized full-dose contrast agent images from acquired low-dose images.

Career Highlights

Throughout his career, Zaharchuk has worked with esteemed organizations such as Leland Stanford Junior University and General Electric Company. His work has significantly impacted the medical imaging field, particularly in enhancing diagnostic processes and treatment evaluations.

Collaborations

Zaharchuk has collaborated with notable colleagues, including John Mark Pauly and Enhao Gong, contributing to advancements in medical imaging technologies.

Conclusion

Greg Zaharchuk's innovative work in medical imaging and predictive modeling has established him as a key figure in the field. His patents reflect a commitment to improving diagnostic methods and treatment efficacy, ultimately benefiting patient care.

This text is generated by artificial intelligence and may not be accurate.