Patents by Inventor Sharon Ruane

Sharon Ruane 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).

  • Publication number: 20240170165
    Abstract: A classification model for identifying or classifying biological structures depicted in a000 base image can be generated by training a label generation model and then using the label generation model to train the classification model. The label generation model can be configured to accept co-registered base and informer images, while the classification model can be configured to accept base images. The classification model can output an indication when a biological structure is identified or classified in a base image.
    Type: Application
    Filed: November 17, 2023
    Publication date: May 23, 2024
    Applicant: Aignostics GmbH
    Inventors: Maximilian Alber, Roman Schulte-Sasse, Viktor Matyas, Sharon Ruane, Cornelius Böhm
  • Patent number: 11609784
    Abstract: A method for distributing at least one computational process amongst shared resources is proposed. At least two shared resources capable of performing the computational process are determined. According to the method, a workload characteristic for each of the shared resources is predicted. The workload characteristic accounts for at least two subsystems of each shared resource. One of the at least two shared resources is selected based on the predicted workload characteristics.
    Type: Grant
    Filed: April 18, 2018
    Date of Patent: March 21, 2023
    Assignee: Intel Corporation
    Inventors: Thijs Metsch, Leonard Feehan, Annie Ibrahim Rana, Rahul Khanna, Sharon Ruane, Marcin Spoczynski
  • Publication number: 20190324799
    Abstract: A method for distributing at least one computational process amongst shared resources is proposed. At least two shared resources capable of performing the computational process are determined. According to the method, a workload characteristic for each of the shared resources is predicted. The workload characteristic accounts for at least two subsystems of each shared resource. One of the at least two shared resources is selected based on the predicted workload characteristics.
    Type: Application
    Filed: April 18, 2018
    Publication date: October 24, 2019
    Inventors: Thijs Metsch, Leonard Feehan, Annie Ibrahim Rana, Rahul Khanna, Sharon Ruane, Marcin Spoczynski