Company Filing History:

8 out of 1,271

The University of North Carolina at Chapel Hill

where one patent can have more than one assignee

Years Active: 1986-2020

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8 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 10733745 - Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video (2020-08-04),

2. 10682108 - Methods, systems, and computer readable media for three-dimensional (3D) reconstruction of colonoscopic surfaces for determining missing regions (2020-06-16),

3. 9495746 - Methods, systems, and computer readable media for real-time 2D/3D deformable registration using metric learning (2016-11-15),

4. 8666128 - Methods, systems, and computer readable media for mapping regions in a model of an object comprising an anatomical structure from one image data set to images used in a diagnostic or therapeutic intervention (2014-03-04),

5. 7200251 - Methods and systems for modeling objects and object image data using medial atoms (2007-04-03),

6. 6690816 - Systems and methods for tubular object processing (2004-02-10),

7. 5926568 - Image object matching using core analysis and deformable shape loci (1999-07-20),

8. 4607255 - Three dimensional display using a varifocal mirror (1986-08-19),

Title: Innovations of Stephen Murray Pizer

Introduction

Stephen Murray Pizer is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of medical imaging and computer science, holding a total of 8 patents. His work primarily focuses on deriving three-dimensional (3D) surfaces from endoscopic and colonoscopic video, which has important implications for medical diagnostics and treatment.

Latest Patents

Pizer's latest patents include methods, systems, and computer-readable media for deriving a 3D textured surface from endoscopic video. One of the methods involves video frame preprocessing to identify a plurality of video frames, which includes informative frame selection, specularity removal, and key-frame selection. The process generates a 3D textured surface using a neural network or a shape-from-motion-and-shading (SfMS) approach, and it may also register the 3D textured surface to at least one CT image. Another significant patent focuses on the 3D reconstruction of colonoscopic surfaces for determining missing regions. This method also involves video frame preprocessing to identify keyframes and utilizes a recurrent neural network and direct sparse odometry to generate camera poses and depth maps.

Career Highlights

Pizer has worked at prestigious institutions such as the University of North Carolina at Chapel Hill and Duke University. His research and innovations have contributed to advancements in medical imaging technologies, enhancing the ability to visualize and analyze complex biological structures.

Collaborations

Some of his notable coworkers include Edward L Chaney and Daniel Scott Fritsch. Their collaborative efforts have furthered the development of innovative solutions in the field of medical imaging.

Conclusion

Stephen Murray Pizer's contributions to the field of medical imaging through his patents and collaborations highlight his role as a significant innovator. His work continues to impact the way medical professionals visualize and interpret complex anatomical structures.

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