Charlottesville, VA, United States of America

Craig H Meyer

USPTO Granted Patents = 51 

 

Average Co-Inventor Count = 2.9

ph-index = 13

Forward Citations = 467(Granted Patents)

Forward Citations (Not Self Cited) = 235(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Menlo Park, CA (US) (1991 - 1993)
  • Palo Alto, CA (US) (1995 - 1997)
  • Mountain View, CA (US) (1999 - 2000)
  • Charlottesville, VA (US) (2009 - 2024)

Company Filing History:


Years Active: 1991-2025

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Areas of Expertise:
Magnetic Resonance Imaging
Deep Learning
Cardiac MRI
Spiral Imaging
Image Reconstruction
Motion Compensation
Thermometry
Segmentation Techniques
Compressed Sensing
Atherosclerotic Plaque Imaging
Artifact Suppression
K-space Trajectory
51 patents (USPTO):Explore Patents

Title: **Craig H Meyer - Innovator in Magnetic Resonance Imaging**

Introduction

Craig H Meyer, based in Charlottesville, VA, is a prominent inventor known for his contributions to the field of medical imaging. With an impressive portfolio of 50 patents, Meyer's work has significantly advanced techniques in magnetic resonance imaging (MRI), enhancing the accuracy and efficiency of medical diagnoses.

Latest Patents

Meyer’s recent patent focuses on "Denoising magnetic resonance images using unsupervised deep convolutional neural networks." This innovative system utilizes a deep convolutional neural network (U-DCNN) to process MRI data, effectively minimizing noise in images. The method allows for the acquisition of original, noisy input images and employs an iterative process to update parameter settings in the network. The goal is to generate a denoised output image that retains essential features while eliminating unnecessary noise.

Another notable patent is the "System and method for fully automatic LV segmentation of myocardial first-pass perfusion images." This computerized approach involves acquiring multiple frames of MRI data and developing a set of manually segmented ground truth frames. By applying training augmentation techniques, Meyer and his team prepared the data for training convolutional neural networks (CNNs). These trained networks enable automatic segmentation of the heart's endocardium and epicardium layers, facilitating calculations of myocardial blood flow.

Career Highlights

Throughout his career, Craig H Meyer has worked with esteemed institutions such as the University of Virginia Patent Foundation and Leland Stanford Junior University. His research efforts have played a vital role in enhancing medical imaging technologies, making them more accessible and reliable for clinical applications.

Collaborations

Meyer has collaborated with a talented group of professionals, including Xue Feng and Samuel W Fielden. Their collective expertise has fostered innovative research and development, resulting in advanced imaging solutions that address critical challenges in the medical field.

Conclusion

Craig H Meyer stands out as a pioneering inventor in the realm of magnetic resonance imaging. His latest patents reflect an unwavering commitment to advancing healthcare technology through innovative solutions. As he continues to explore new frontiers in medical imaging, Meyer's contributions are sure to have a lasting impact on the industry.

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