Palo Alto, CA, United States of America

Daniel B Ennis

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.7

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):

Title: The Innovative Mind of Daniel B. Ennis

Introduction

Daniel B. Ennis, an accomplished inventor based in Palo Alto, California, has made significant contributions to the field of magnetic resonance imaging (MRI). With two patents to his name, he has developed innovative methods that leverage artificial intelligence to enhance the accuracy and efficiency of MRI technologies.

Latest Patents

Ennis's latest patents reflect his expertise in advanced imaging techniques. The first patent, titled "Synthetically Trained Neural Network for MRI Tag Tracking," introduces a cutting-edge method for MRI tag tracking. This method involves synthetically generating tagged data from natural images, training a convolutional neural network (CNN), and estimating motion paths from acquired MRI images. The approach not only enhances the tracking of tagged points but also allows for the calculation of strain curves derived from these estimations.

His second patent, "Artificial Intelligence Based Reconstruction for Phase Contrast Magnetic Resonance Imaging," focuses on reconstructing images from undersampled phase-contrast MRI data. By utilizing two convolutional neural networks for image reconstruction and combining flow-encoded images, this innovation optimizes the generation of velocity encoded images through phase difference processing.

Career Highlights

Ennis has contributed his expertise to reputable organizations, including Leland Stanford Junior University and the United States Government as represented by the Department of Veteran Affairs. His role in these institutions has allowed him to be at the forefront of research and development in medical imaging technologies, driving advancements that improve diagnostic capabilities.

Collaborations

Throughout his career, Ennis has collaborated with notable colleagues such as Michael Loecher and Matthew J. Middione. These collaborations have fostered a productive environment for developing innovative solutions in the field of MRI, showcasing the importance of teamwork in scientific advancements.

Conclusion

Daniel B. Ennis stands out as a visionary inventor whose work has the potential to transform the landscape of magnetic resonance imaging. With his patented methods, he continues to push the boundaries of what is possible in medical imaging, ultimately contributing to improved patient outcomes. His dedication to innovation exemplifies the critical role of inventors in advancing technology for the betterment of society.

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