Patents by Inventor Shipra JAIN

Shipra JAIN 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).

  • RESTORATIVE DECISION SUPPORT FOR DENTAL TREATMENT
    Publication number: 20240189078
    Abstract: A method of providing restorative decision support for a dental patient includes receiving image data of an intraoral cavity of a patient, the image data corresponding to one or more imaging modalities; deriving a plurality of parameters from the image data; applying a decision model to the plurality of parameters; and generating a restorative decision recommendation based on an output of the decision model.
    Type: Application
    Filed: December 6, 2023
    Publication date: June 13, 2024
    Inventors: Christopher E. Cramer, Michael Austin Brown, Magdalena Blankenburg, Shipra Jain, Alexander Okupnik
  • AUGMENTED VIDEO GENERATION WITH DENTAL MODIFICATIONS
    Publication number: 20240185518
    Abstract: A method includes receiving a video comprising a face of an individual, the video comprising a current condition of a dental site of the individual. The method includes determining or receiving an altered condition of the dental site and modifying the video by replacing the current condition of the dental site with the altered condition of the dental site in the video.
    Type: Application
    Filed: November 30, 2023
    Publication date: June 6, 2024
    Inventors: Philipp Kopp, Dmitry Yurievich Chekh, Niko Benjamin Huber, Shipra Jain, Christopher E. Cramer, Chad Clayton Brown, Vladislav Andreevich Miryaha, Boris Aleksandrovich Vysokanov, Eric Paul Meyer, Maik Gerth, Sinan Ibrahim Bayraktar, Michael Seeber, Ritika Chakraborty, Andreea Maria Radoescu, Doruk Cetin
  • Model mapping and enrichment system
    Patent number: 11972224
    Abstract: Disclosed herein are various embodiments for training and enriching a natural language processing system. An embodiment operates by determining that a first prediction from a first machine model has been generated based on a dataset comprising a plurality of attributes. A technical map identifying a first subset of attributes of the plurality of attributes used to generate the first prediction by the first machine model is generated. Natural language translations corresponding to at least a portion of the first subset of attributes used to generate the first prediction by the first machine model are identified. A natural language map of the first subset of attributes is generated based on the natural language translations. The natural language map is provided with the first prediction.
    Type: Grant
    Filed: July 1, 2021
    Date of Patent: April 30, 2024
    Assignee: SAP SE
    Inventors: Vishal Mour, Sreya Dey, Shipra Jain, Rahul Lodhe
  • MODEL MAPPING AND ENRICHMENT SYSTEM
    Publication number: 20230004728
    Abstract: Disclosed herein are various embodiments for training and enriching a natural language processing system. An embodiment operates by determining that a first prediction from a first machine model has been generated based on a dataset comprising a plurality of attributes. A technical map identifying a first subset of attributes of the plurality of attributes used to generate the first prediction by the first machine model is generated. Natural language translations corresponding to at least a portion of the first subset of attributes used to generate the first prediction by the first machine model are identified. A natural language map of the first subset of attributes is generated based on the natural language translations. The natural language map is provided with the first prediction.
    Type: Application
    Filed: July 1, 2021
    Publication date: January 5, 2023
    Inventors: Vishal MOUR, Sreya DEY, Shipra JAIN, Rahul LODHE