Knoxville, TN, United States of America

Joshua Schaefferkoetter

This inventor holds 5 USPTO granted patents and 7 published patent applications. Top assignees: Siemens Medical Solutions USA, Inc., University of Pennsylvania. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joshua Schaefferkoetter. Retrieved from https://idiyas.com/inventor/joshua-schaefferkoetter

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

USPTO Granted Patents = 5 

% Patents Active = 40.0

Average Co-Inventor Count = 1.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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5 patents (USPTO):Explore Patents

Title: Innovations by Joshua Schaefferkoetter

Introduction

Joshua Schaefferkoetter is an accomplished inventor based in Knoxville, TN (US). He has made significant contributions to the field of medical imaging, particularly in the development of advanced techniques for image reconstruction. With a total of 5 patents, his work has the potential to enhance the accuracy and efficiency of medical imaging processes.

Latest Patents

One of Schaefferkoetter's latest patents is titled "Methods and apparatus for pet image reconstruction using multi-view histo-images of attenuation correction factors." This patent discloses systems and methods for reconstructing medical images based on trained deep learning processes. The process involves receiving image measurement data and generating a histo-image based on that data. An attenuation map is also utilized to create an attenuation histo-image. A trained machine learning process is then applied to these images to generate output image data that characterizes an image volume, particularly for positron emission tomography (PET) images.

Another notable patent is "Deep learning for registering anatomical to functional images." This framework uses deep learning to register anatomical images with corresponding functional images. It extracts features from both image types and estimates a deformation field through a trained convolutional neural network. The resulting deformation field is applied to the anatomical image to produce a registered anatomical image, enhancing the integration of anatomical and functional data.

Career Highlights

Joshua Schaefferkoetter has worked with prominent organizations such as Siemens Medical Solutions USA, Inc. and the University of Pennsylvania. His experience in these institutions has allowed him to collaborate with leading experts in the field of medical imaging and deep learning.

Collaborations

Throughout his career, Schaefferkoetter has collaborated with notable colleagues, including Mael Millardet and Samuel Matej. These partnerships have contributed to the advancement of innovative solutions in medical imaging.

Conclusion

Joshua Schaefferkoetter's contributions to medical imaging through his patents and collaborations highlight his role as a significant innovator in the field. His work continues to pave the way for advancements in imaging technologies that can improve patient outcomes.

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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