Patents by Inventor Julian Rosenman

Julian Rosenman 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).

  • Patent number: 12333729
    Abstract: Systems and methods for automatically staging non-small cell lung cancer are provided. Patient data relating to a cancer of a patient is received. The patient data comprises one or more medical images and one or more biopsy reports. A T-stage of the cancer is determined based on a location and a size of one or more tumors of the cancer determined using the patient data. An N-stage of the cancer is determined by combining a metastasis evaluation of the cancer to regional lymph nodes determined from the one or more medical images and a metastasis evaluation of the cancer in the regional lymph nodes determined from the one or more biopsy reports. An M-stage of the cancer is determined based on a metastasis evaluation of the cancer to anatomical structures based on the patient data. The T-stage, the N-stage, and the M-stage are output.
    Type: Grant
    Filed: August 11, 2022
    Date of Patent: June 17, 2025
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Julian Rosenman, Zhoubing Xu, Ali Kamen, Fernando Vega, Nicolo Capobianco, Bruce Spottiswoode, Sasa Grbic
  • Publication number: 20240428401
    Abstract: Systems and methods for performing an assessment of one or more tumors are provided. A plurality of input medical images of a patient acquired at a plurality of points in time is received. One or more tumors are identified in each of the plurality of input medical images. A tumor burden of the patient is determined for each of the plurality of points in time based on the one or more identified tumors using one or more machine learning based networks. An assessment of the one or more tumors is performed based on the tumor burden of the patient determined for each of the plurality of points in time. Results of the assessment of the one or more tumors are output.
    Type: Application
    Filed: June 22, 2023
    Publication date: December 26, 2024
    Inventors: Bin Lou, Julian Rosenman, Patrick Kupelian, Zhoubing Xu, Sasa Grbic, Ali Kamen, Dorin Comaniciu
  • Publication number: 20240054650
    Abstract: Systems and methods for automatically staging non-small cell lung cancer are provided. Patient data relating to a cancer of a patient is received. The patient data comprises one or more medical images and one or more biopsy reports. A T-stage of the cancer is determined based on a location and a size of one or more tumors of the cancer determined using the patient data. An N-stage of the cancer is determined by combining a metastasis evaluation of the cancer to regional lymph nodes determined from the one or more medical images and a metastasis evaluation of the cancer in the regional lymph nodes determined from the one or more biopsy reports. An M-stage of the cancer is determined based on a metastasis evaluation of the cancer to anatomical structures based on the patient data. The T-stage, the N-stage, and the M-stage are output.
    Type: Application
    Filed: August 11, 2022
    Publication date: February 15, 2024
    Inventors: Julian Rosenman, Zhoubing Xu, Ali Kamen, Fernando Vega, Nicolo Capobianco, Bruce Spottiswoode, Sasa Grbic