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.

Date of Patent:
Sep. 29, 2026

Filed:

Mar. 28, 2024
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Dominik Neumann, Erlangen, DE;

Alexandru Constantin Serban, Constanta, RO;

Zhoubing Xu, Princeton, NJ (US);

Bogdan Georgescu, Princeton, NJ (US);

Florin-Cristian Ghesu, Baiersdorf, DE;

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01); G06T 7/11 (2017.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01); G06T 7/11 (2017.01); G06V 10/764 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01);
Abstract

A computer-implemented method for pretraining a downstream neural network for a novel image-to-image task to be performed on medical imaging data received from a medical scanner is provided. A database of augmented training data sets is generated based on a database of pre-existing training data sets. A set of at least two pretext neural network subsystems are jointly trained for performing (in particular partly self-supervised and partly weakly supervised) pretext tasks using the generated database. The downstream neural network is pretrained for the novel image-to-image task to be performed on medical imaging data received from a medical scanner. The pretraining is based on a subset of the modified weights of the pretext neural network subsystems, and/or on an output of a subset of layers of the set of pretext neural network subsystems.


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