The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 01, 2024
Filed:
Oct. 20, 2020
Applicant:
Regents of the University of Minnesota, Minneapolis, MN (US);
Inventors:
Mehmet Akcakaya, Minneapolis, MN (US);
Burhaneddin Yaman, Minneapolis, MN (US);
Seyed Amir Hossein Hosseini, Minneapolis, MN (US);
Assignee:
REGENTS OF THE UNIVERSITY OF MINNESOTA, Minneapolis, MN (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 11/005 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G16H 30/40 (2018.01);
Abstract
Self-supervised training of machine learning ('ML') algorithms for reconstruction in inverse problems are described. These techniques do not require fully sampled training data. As an example, a physics-based ML reconstruction can be trained without requiring fully-sampled training data. In this way, such ML-based reconstruction algorithms can be trained on existing databases of undersampled images or in a scan-specific manner.