Patents by Inventor Jeffrey Eben

Jeffrey Eben 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).

  • Disease characterization and response estimation through spatially-invoked radiomics and deep learning fusion
    Patent number: 11810292
    Abstract: Embodiments discussed herein facilitate training and/or employing a combined model employing machine learning and deep learning outputs to generate prognoses for treatment of tumors. One example embodiment can extract radiomic features from a tumor and a peri-tumoral region; provide the intra-tumoral and peri-tumoral features to two separate machine learning models; provide the segmented tumor and peri-tumoral region to two separate deep learning models; receive predicted prognoses from each of the machine learning models and each of the deep learning models; provide the predicted prognoses to a combined machine learning model; and receive a combined predicted prognosis for the tumor from the combined machine learning model.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: November 7, 2023
    Assignee: Case Western Reserve University
    Inventors: Anant Madabhushi, Nathaniel Braman, Jeffrey Eben
  • DISEASE CHARACTERIZATION AND RESPONSE ESTIMATION THROUGH SPATIALLY-INVOKED RADIOMICS AND DEEP LEARNING FUSION
    Publication number: 20210097682
    Abstract: Embodiments discussed herein facilitate training and/or employing a combined model employing machine learning and deep learning outputs to generate prognoses for treatment of tumors. One example embodiment can extract radiomic features from a tumor and a peri-tumoral region; provide the intra-tumoral and peri-tumoral features to two separate machine learning models; provide the segmented tumor and peri-tumoral region to two separate deep learning models; receive predicted prognoses from each of the machine learning models and each of the deep learning models; provide the predicted prognoses to a combined machine learning model; and receive a combined predicted prognosis for the tumor from the combined machine learning model.
    Type: Application
    Filed: September 30, 2020
    Publication date: April 1, 2021
    Inventors: Anant Madabhushi, Nathaniel Braman, Jeffrey Eben