Patents by Inventor Candice Bolan

Candice Bolan 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).

  • Systems, methods, and media for automatically diagnosing intraductal papillary mucinous neosplasms using multi-modal magnetic resonance imaging data
    Patent number: 11064902
    Abstract: In accordance with some embodiments, systems, methods, and media for automatically diagnosing IPMNs using multi-modal MRI data are provided. In some embodiments, a system comprises: an MRI scanner; and a processor programmed to: prompt a user to select a slice of T1 and T2 MRI data including the subject's pancreas; generate minimum and maximum intensity projections based consecutive slices of the T1 and T2 MRI data; provide the projections to an image recognition CNN, and receive feature vectors for each from a fully connected layer; perform a canonical correlation analysis to determine correlations between the feature vectors; and provide a resultant vector to an SVM that determines whether the subject's pancreas includes IPMNs based on a vector.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: July 20, 2021
    Assignees: Mayo Foundation for Medical Education and Research, University of Central Florida Research Foundation, Inc.
    Inventors: Michael B. Wallace, Candice Bolan, Ulas Bagci, Rodney Duane LaLonde, III
  • SYSTEMS, METHODS, AND MEDIA FOR AUTOMATICALLY DIAGNOSING INTRADUCTAL PAPILLARY MUCINOUS NEOSPLASMS USING MULTI-MODAL MAGNETIC RESONANCE IMAGING DATA
    Publication number: 20200000362
    Abstract: In accordance with some embodiments, systems, methods, and media for automatically diagnosing IPMNs using multi-modal MRI data are provided. In some embodiments, a system comprises: an MRI scanner; and a processor programmed to: prompt a user to select a slice of T1 and T2 MRI data including the subject's pancreas; generate minimum and maximum intensity projections based consecutive slices of the T1 and T2 MRI data; provide the projections to an image recognition CNN, and receive feature vectors for each from a fully connected layer; perform a canonical correlation analysis to determine correlations between the feature vectors; and provide a resultant vector to an SVM that determines whether the subject's pancreas includes IPMNs based on a vector.
    Type: Application
    Filed: July 1, 2019
    Publication date: January 2, 2020
    Inventors: Michael B. Wallace, Candice Bolan, Ulas Bagci, Rodney Duane LaLonde, III