Patents by Inventor Joseph A. DiDonato

Joseph A. DiDonato 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).

  • Simulating abnormalities in medical images with generative adversarial networks
    Patent number: 11854703
    Abstract: Systems and methods for providing a novel framework to simulate the appearance of pathology on patients who otherwise lack that pathology. The systems and methods include a “simulator” that is a generative adversarial network (GAN). Rather than generating images from scratch, the systems and methods discussed herein simulate the addition of diseases-like appearance on existing scans of healthy patients. Focusing on simulating added abnormalities, as opposed to simulating an entire image, significantly reduces the difficulty of training GANs and produces results that more closely resemble actual, unmodified images. In at least some implementations, multiple GANs are used to simulate pathological tissues on scans of healthy patients to artificially increase the amount of available scans with abnormalities to address the issue of data imbalance with rare pathologies.
    Type: Grant
    Filed: June 10, 2019
    Date of Patent: December 26, 2023
    Assignee: ARTERYS INC.
    Inventors: Hok Kan Lau, Jesse Lieman-Sifry, Sean Patrick Sall, Berk Dell Norman, Daniel Irving Golden, John Axerio-Cilies, Matthew Joseph Didonato
  • CONTENT BASED IMAGE RETRIEVAL FOR LESION ANALYSIS
    Publication number: 20230106440
    Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.
    Type: Application
    Filed: December 8, 2022
    Publication date: April 6, 2023
    Inventors: Daniel Irving GOLDEN, Fabien Rafael David BECKERS, John AXERIO-CILIES, Matthieu LE, Jesse LIEMAN-SIFRY, Anitha Priya KRISHNAN, Sean Patrick SALL, Hok Kan LAU, Matthew Joseph DIDONATO, Robert George NEWTON, Torin Arni TAERUM, Shek Bun LAW, Carla Rosa LEIBOWITZ, Angélique Sophie CALMON
  • Content based image retrieval for lesion analysis
    Patent number: 11551353
    Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: January 10, 2023
    Assignee: Arterys Inc.
    Inventors: Daniel Irving Golden, Fabien Rafael David Beckers, John Axerio-Cilies, Matthieu Le, Jesse Lieman-Sifry, Anitha Priya Krishnan, Sean Patrick Sall, Hok Kan Lau, Matthew Joseph Didonato, Robert George Newton, Torin Arni Taerum, Shek Bun Law, Carla Rosa Leibowitz, Angélique Sophie Calmon
  • MACHINE LEARNING-BASED AUTOMATED ABNORMALITY DETECTION IN MEDICAL IMAGES AND PRESENTATION THEREOF
    Publication number: 20220004838
    Abstract: The presently disclosed technology relates to medical image processing. An example method includes receiving medical image data which represents an anatomical structure and processing the received image data through convolutional neural network (CNN) to generate predictions. The predictions can include abnormality location proposals and abnormality class probabilities associated with each abnormality location proposals.
    Type: Application
    Filed: November 18, 2019
    Publication date: January 6, 2022
    Inventors: Matthew Joseph DiDonato, Daniel Irving Golden, John Axerio-Cilies, Taryn Nicole Heilman
  • SIMULATING ABNORMALITIES IN MEDICAL IMAGES WITH GENERATIVE ADVERSARIAL NETWORKS
    Publication number: 20210249142
    Abstract: Systems and methods for providing a novel framework to simulate the appearance of pathology on patients who otherwise lack that pathology. The systems and methods include a “simulator” that is a generative adversarial network (GAN). Rather than generating images from scratch, the systems and methods discussed herein simulate the addition of diseases-like appearance on existing scans of healthy patients. Focusing on simulating added abnormalities, as opposed to simulating an entire image, significantly reduces the difficulty of training GANs and produces results that more closely resemble actual, unmodified images. In at least some implementations, multiple GANs are used to simulate pathological tissues on scans of healthy patients to artificially increase the amount of available scans with abnormalities to address the issue of data imbalance with rare pathologies.
    Type: Application
    Filed: June 10, 2019
    Publication date: August 12, 2021
    Inventors: Hok Kan LAU, Jesse LIEMAN-SIFRY, Sean Patrick SALL, Berk Dell NORMAN, Daniel Irving GOLDEN, John AXERIO-CILIES, Matthew Joseph DIDONATO
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20210121520
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: November 4, 2020
    Publication date: April 29, 2021
    Inventors: Andrei V. GUDKOV, Joseph A. DIDONATO, Vadim KRIVOKRYSENKO
  • Flagellin related polypeptides and uses thereof
    Patent number: 10898543
    Abstract: The use of flagellin and flagellin related polypeptide for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: January 26, 2021
    Assignee: Cleveland Clinic Foundation
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • CONTENT BASED IMAGE RETRIEVAL FOR LESION ANALYSIS
    Publication number: 20200380675
    Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.
    Type: Application
    Filed: November 15, 2018
    Publication date: December 3, 2020
    Inventors: Daniel Irving GOLDEN, Fabien Rafael David BECKERS, John AXERIO-CILIES, Matthieu LE, Jesse LIEMAN-SIFRY, Anitha Priya KRISHNAN, Sean Patrick SALL, Hok Kan LAU, Matthew Joseph DIDONATO, Robert George NEWTON, Torin Arni TAERUM, Shek Bun LAW, Carla Rosa LEIBOWITZ, Angélique Sophie CALMON
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20200261535
    Abstract: The use of flagellin and flagellin related polypeptide for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: November 26, 2019
    Publication date: August 20, 2020
    Inventors: Andrei V. GUDKOV, Joseph A. DIDONATO, Vadim KRIVOKRYSENKO
  • Flagellin related polypeptides and uses thereof
    Patent number: 10543251
    Abstract: The use of flagellin and flagellin related polypeptide for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: January 28, 2020
    Assignee: Cleveland Clinic Foundation
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20190151407
    Abstract: The use of flagellin and flagellin related polypeptide for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: August 24, 2018
    Publication date: May 23, 2019
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • Flagellin related polypeptides and uses thereof
    Patent number: 10086038
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: October 26, 2017
    Date of Patent: October 2, 2018
    Assignee: CLEVELAND CLINIC FOUNDATION
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20180140663
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: October 26, 2017
    Publication date: May 24, 2018
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • Flagellin related polypeptides and uses thereof
    Patent number: 9827289
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: September 1, 2016
    Date of Patent: November 28, 2017
    Assignee: CLEVELAND CLINIC FOUNDATION
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20170080051
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: September 1, 2016
    Publication date: March 23, 2017
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • Flagellin related polypeptides and uses thereof
    Patent number: 9457061
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: November 23, 2015
    Date of Patent: October 4, 2016
    Assignee: Cleveland Clinic Foundation
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20160082077
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: November 23, 2015
    Publication date: March 24, 2016
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • Flagellin related polypeptides and uses thereof
    Patent number: 9228000
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: August 17, 2015
    Date of Patent: January 5, 2016
    Assignee: Cleveland Clinic Foundation
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • FLAGELLIN RELATED POLYPEPTIDES AND USES THEREOF
    Publication number: 20150376241
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Application
    Filed: August 17, 2015
    Publication date: December 31, 2015
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko
  • Flagellin related polypeptides and uses thereof
    Patent number: 9139623
    Abstract: The use of flagellin and flagellin related polypeptides for the protection of mammals from the effects of apoptosis is described.
    Type: Grant
    Filed: December 3, 2014
    Date of Patent: September 22, 2015
    Assignee: Cleveland Clinic Foundation
    Inventors: Andrei V. Gudkov, Joseph A. DiDonato, Vadim Krivokrysenko