Patents by Inventor Angélique Sophie CALMON

Angélique Sophie CALMON 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).

  • 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
  • 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