Patents by Inventor Cian Hughes

Cian Hughes 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).

  • Patent number: 11676281
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for segmenting a medical image. In one aspect, a method comprises: receiving a medical image that is captured using a medical imaging modality and that depicts a region of tissue in a body; and processing the medical image using a segmentation neural network to generate a segmentation output. The segmentation neural network can include a sequence of multiple encoder blocks and a decoder subnetwork. Training the segmentation neural network can include determining a set of error values for a segmentation channel; identifying the highest error values from the set of error values for the segmentation channel; and determining a segmentation loss based on the highest error values identified for the segmentation channel.
    Type: Grant
    Filed: July 20, 2021
    Date of Patent: June 13, 2023
    Assignee: Google LLC
    Inventors: Stanislav Nikolov, Samuel Blackwell, Jeffrey De Fauw, Bernardino Romera-Paredes, Clemens Ludwig Meyer, Harry Askham, Cian Hughes, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger
  • Publication number: 20220012891
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for segmenting a medical image. In one aspect, a method comprises: receiving a medical image that is captured using a medical imaging modality and that depicts a region of tissue in a body; and processing the medical image using a segmentation neural network to generate a segmentation output, wherein the segmentation neural network comprises a sequence of multiple encoder blocks, wherein: each encoder block is a residual neural network block comprising one or more two-dimensional convolutional neural network layers, one or more three-dimensional convolutional neural network layers, or both, and each encoder block is configured to process a respective encoder block input to generate a respective encoder block output wherein a spatial resolution of the encoder block output is lower than a spatial resolution of the encoder block input.
    Type: Application
    Filed: July 20, 2021
    Publication date: January 13, 2022
    Inventors: Stanislav Nikolov, Samuel Blackwell, Jeffrey De Fauw, Bernardino Romera-Paredes, Clemens Ludwig Meyer, Harry Askham, Cian Hughes, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger
  • Patent number: 11100647
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for segmenting a medical image. In one aspect, a method comprises: receiving a medical image that is captured using a medical imaging modality and that depicts a region of tissue in a body; and processing the medical image using a segmentation neural network to generate a segmentation output, wherein the segmentation neural network comprises a sequence of multiple encoder blocks, wherein: each encoder block is a residual neural network block comprising one or more two-dimensional convolutional neural network layers, one or more three-dimensional convolutional neural network layers, or both, and each encoder block is configured to process a respective encoder block input to generate a respective encoder block output wherein a spatial resolution of the encoder block output is lower than a spatial resolution of the encoder block input.
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: August 24, 2021
    Assignee: Google LLC
    Inventors: Stanislav Nikolov, Samuel Blackwell, Jeffrey De Fauw, Bernardino Romera-Paredes, Clemens Ludwig Meyer, Harry Askham, Cian Hughes, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger
  • Publication number: 20200082534
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for segmenting a medical image. In one aspect, a method comprises: receiving a medical image that is captured using a medical imaging modality and that depicts a region of tissue in a body; and processing the medical image using a segmentation neural network to generate a segmentation output, wherein the segmentation neural network comprises a sequence of multiple encoder blocks, wherein: each encoder block is a residual neural network block comprising one or more two-dimensional convolutional neural network layers, one or more three-dimensional convolutional neural network layers, or both, and each encoder block is configured to process a respective encoder block input to generate a respective encoder block output wherein a spatial resolution of the encoder block output is lower than a spatial resolution of the encoder block input.
    Type: Application
    Filed: September 9, 2019
    Publication date: March 12, 2020
    Inventors: Stanislav Nikolov, Samuel Blackwell, Jeffrey De Fauw, Bernardino Romera-Paredes, Clemens Meyer, Harry Askham, Cian Hughes, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger
  • Patent number: 10029056
    Abstract: A system and method suitable for monitoring user technique of an inhaler device configured for delivery of a medicament is provided. The system may include a microphone adapted for sensing sound made during operation of the inhaler device and processing circuitry operable to process a data signal obtained from the microphone, wherein the data signal includes acoustic information sensed. The processing circuitry is adapted to determine inhalation and exhalation breath characteristics that occur during use, by analyzing the temporal and spectral components of the acoustic information sensed and processed to differentiate between an inhalation and an exhalation, based on both the temporal and spectral components. This information can be processed to determine user technique adherence to inhaler or respiratory device protocol. The analysis of temporal and spectral components can determine the impact of user technique errors on the quantity and the deposition of medicament delivered into the user's airways.
    Type: Grant
    Filed: August 29, 2013
    Date of Patent: July 24, 2018
    Assignees: The Provost, Fellows, Foundation Scholars, & The Other Members of Board, of the College of the Holy & Undivided Trinity of Queen Elizabeth near Dublin, Royal College of Surgeons in Ireland
    Inventors: Richard Reilly, Richard Costello, Cian Hughes, Ehsan Chah, Isabelle Killane
  • Patent number: 9339649
    Abstract: A system for rehabilitating patients affected by balance disorders with or without vestibular hypofunction and/or malfunction with or without an associated hearing loss, which includes sensors of sound and head movement, processing circuitry, a power source coupled to head phones, an air conduction hearing aid, bone conduction hearing aid, middle ear implant or an electrical stimulator implanted into the cochlea capable of stimulating areas within the cochlea with the potential for current spread to surrounding non-auditory areas including the vestibular system.
    Type: Grant
    Filed: March 12, 2013
    Date of Patent: May 17, 2016
    Assignees: The Hospital for Sick Children, University Health Network
    Inventors: Sharon Cushing, Blake Papsin, David Pothier, Cian Hughes
  • Publication number: 20150231343
    Abstract: A system and method suitable for monitoring user technique of an inhaler device configured for delivery of a medicament is provided. The system may include a microphone adapted for sensing sound made during operation of the inhaler device and processing circuitry operable to process a data signal obtained from the microphone, wherein the data signal includes acoustic information sensed. The processing circuitry is adapted to determine inhalation and exhalation breath characteristics that occur during use, by analysing the temporal and spectral components of the acoustic information sensed and processed to differentiate between an inhalation and an exhalation, based on both the temporal and spectral components. This information can be processed to determine user technique adherence to inhaler or respiratory device protocol. The analysis of temporal and spectral components can determine the impact of user technique errors on the quantity and the deposition of medicament delivered into the user's airways.
    Type: Application
    Filed: August 29, 2013
    Publication date: August 20, 2015
    Inventors: Richard Reilly, Richard Costello, Cian Hughes, Ehsan Chah, Isabelle Killane
  • Publication number: 20150032186
    Abstract: A system for rehabilitating patients affected by balance disorders with or without vestibular hypofunction and/or malfunction with or without an associated hearing loss, which includes sensors of sound and head movement, processing circuitry, a power source coupled to head phones, an air conduction hearing aid, bone conduction hearing aid, middle ear implant or an electrical stimulator implanted into the cochlea capable of stimulating areas within the cochlea with the potential for current spread to surrounding non-auditory areas including the vestibular system.
    Type: Application
    Filed: March 12, 2013
    Publication date: January 29, 2015
    Inventors: Sharon Cushing, Blake Papsin, David Pothier, Cian Hughes