Palo Alto, CA, United States of America

Daniel Irving Golden

USPTO Granted Patents = 8 

 

Average Co-Inventor Count = 5.8

ph-index = 5

Forward Citations = 182(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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8 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Daniel Irving Golden

Introduction

Daniel Irving Golden is a prominent inventor based in Palo Alto, California. He holds a total of 8 patents, showcasing his significant contributions to the fields of medical imaging and technology. His work focuses on improving diagnostic processes and enhancing the accuracy of medical assessments.

Latest Patents

Among his latest patents is a system for content-based image retrieval for lesion analysis. This invention addresses the challenges faced in the assessment of lung and liver pathologies using Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). The automated end-to-end pipeline he developed allows for accurate lesion detection and segmentation, streamlining the diagnostic process. Another notable patent involves a deep learning-based eddy current correction system. This technology utilizes a convolutional neural network (CNN) model to automatically generate an ECC mask, which can be integrated with 2D and 4D scan slices, enhancing the usability of medical imaging through web applications.

Career Highlights

Daniel has worked with several innovative companies, including Arterys Inc. and Cellscope, Inc. His experience in these organizations has allowed him to apply his expertise in medical imaging and contribute to advancements in the field.

Collaborations

Throughout his career, Daniel has collaborated with talented individuals such as Jesse Lieman-Sifry and Hok Kan Lau. These partnerships have further enriched his work and led to the development of groundbreaking technologies.

Conclusion

Daniel Irving Golden's contributions to medical imaging technology are noteworthy and impactful. His patents reflect a commitment to improving diagnostic accuracy and efficiency, ultimately benefiting patient care.

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