Patents by Inventor Ronny BÜCHEL

Ronny BÜCHEL has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Learning-based domain transformation for medical images
    Patent number: 12217417
    Abstract: Systems/techniques that facilitate learning-based domain transformation for medical images are provided. In various embodiments, a system can access a medical image. In various aspects, the medical image can depict an anatomical structure according to a first medical scanning domain. In various instances, the system can generate, via execution of a machine learning model, a predicted image based on the medical image. In various aspects, the predicted image can depict the anatomical structure according to a second medical scanning domain that is different from the first medical scanning domain. In some cases, the first and second medical scanning domains can be first and second energy levels of a computed tomography (CT) scanning modality. In other cases, the first and second medical scanning domains can be first and second contrast phases of the CT scanning modality.
    Type: Grant
    Filed: September 9, 2021
    Date of Patent: February 4, 2025
    Assignees: GE PRECISION HEALTHCARE LLC, UNIVERSITY OF ZURICH
    Inventors: Sidharth Abrol, Bipul Das, Vanika Singhal, Amy Deubig, Sandeep Dutta, Daphné Gerbaud, Bianca Sintini, Ronny Büchel, Philipp Kaufmann
  • LEARNING-BASED DOMAIN TRANSFORMATION FOR MEDICAL IMAGES
    Publication number: 20230071535
    Abstract: Systems/techniques that facilitate learning-based domain transformation for medical images are provided. In various embodiments, a system can access a medical image. In various aspects, the medical image can depict an anatomical structure according to a first medical scanning domain. In various instances, the system can generate, via execution of a machine learning model, a predicted image based on the medical image. In various aspects, the predicted image can depict the anatomical structure according to a second medical scanning domain that is different from the first medical scanning domain. In some cases, the first and second medical scanning domains can be first and second energy levels of a computed tomography (CT) scanning modality. In other cases, the first and second medical scanning domains can be first and second contrast phases of the CT scanning modality.
    Type: Application
    Filed: September 9, 2021
    Publication date: March 9, 2023
    Inventors: Sidharth Abrol, Bipul Das, Vanika Singhal, Amy Deubig, Sandeep Dutta, Daphné GERBAUD, Bianca Sintini, Ronny BÜCHEL, Philipp KAUFMANN