Patents by Inventor Frank A. Provenzano

Frank A. Provenzano 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).

  • CLASSIFYING NEUROLOGICAL DISEASE STATUS USING DEEP LEARNING
    Publication number: 20220051801
    Abstract: A method for classifying neurological disease status is described. The method includes acquiring, by a data preprocessor logic, patient image data. The method further includes generating, by a trained artificial neural network (ANN), a classification output based, at least in part, on the patient image data. The classification output corresponds to a neurological disease status of the patient. The trained ANN is trained based, at least in part, on longitudinal source data.
    Type: Application
    Filed: October 29, 2021
    Publication date: February 17, 2022
    Inventors: Xinyang FENG, Frank PROVENZANO, Scott A. SMALL
  • Technologies for diagnosing neurological or psychiatric illnesses
    Patent number: 10846858
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned within an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: November 24, 2020
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • TECHNOLOGIES FOR DIAGNOSING NEUROLOGICAL OR PSYCHIATRIC ILLNESSES
    Publication number: 20190378275
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned within an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Application
    Filed: February 4, 2019
    Publication date: December 12, 2019
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • Technologies for diagnosing neurological or psychiatric illnesses
    Patent number: 10198817
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned on an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Grant
    Filed: April 17, 2015
    Date of Patent: February 5, 2019
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • Technologies for white matter hyperintensity quantification
    Patent number: 9867566
    Abstract: A method comprises selecting, via a computer, an intensity threshold value. The method also comprises defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value. The method further comprises extracting, via the computer, a plurality of voxels from the imaging data based on the defining. The method additionally comprises determining, via the computer, a total volume of the voxels based on the extracting. The method also comprises determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.
    Type: Grant
    Filed: November 20, 2015
    Date of Patent: January 16, 2018
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Adam M. Brickman, Jordan Muraskin, Frank A. Provenzano, Atul Narkhede
  • TECHNOLOGIES FOR DIAGNOSING NEUROLOGICAL OR PSYCHIATRIC ILLNESSES
    Publication number: 20170039714
    Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned on an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.
    Type: Application
    Filed: April 17, 2015
    Publication date: February 9, 2017
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Scott A. Small, Frank A. Provenzano, Usman A. Khan
  • TECHNOLOGIES FOR WHITE MATTER HYPERINTENSITY QUANTIFICATION
    Publication number: 20160143573
    Abstract: A method comprises selecting, via a computer, an intensity threshold value. The method also comprises defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value. The method further comprises extracting, via the computer, a plurality of voxels from the imaging data based on the defining. The method additionally comprises determining, via the computer, a total volume of the voxels based on the extracting. The method also comprises determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.
    Type: Application
    Filed: November 20, 2015
    Publication date: May 26, 2016
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Adam M. Brickman, Jordan Muraskin, Frank A. Provenzano, Atul Narkhede