Patents by Inventor Vikash Challa

Vikash Challa 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: 11861832
    Abstract: Disclosed is a system and a method for determining a brock score. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A nodule may be detected on one or more of the plurality of slices. A region of interest associated with the nodule may be identified using an image processing technique. Further, a nodule segmentation may be performed to remove an area surrounding the region of interest. Subsequently, a plurality of characteristics associated with the nodule may be identified automatically using a deep learning model. Finally, a brock score for the patient may be determined based on the plurality of characteristics and demographic data of the patient.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: January 2, 2024
    Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITED
    Inventors: Prashant Warier, Ankit Modi, Preetham Putha, Prakash Vanapalli, Vikash Challa, Ranjana Devi, Ritvik Jain
  • Publication number: 20230177687
    Abstract: Disclosed is a system and a method for determining a brock score. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A nodule may be detected on one or more of the plurality of slices. A region of interest associated with the nodule may be identified using an image processing technique. Further, a nodule segmentation may be performed to remove an area surrounding the region of interest. Subsequently, a plurality of characteristics associated with the nodule may be identified automatically using a deep learning model. Finally, a brock score for the patient may be determined based on the plurality of characteristics and demographic data of the patient.
    Type: Application
    Filed: December 2, 2022
    Publication date: June 8, 2023
    Applicant: Qure.ai Technologies Private Limited
    Inventors: Prashant WARIER, Ankit MODI, Preetham PUTHA, Prakash VANAPALLI, Vikash CHALLA, Ranjana DEVI, Ritvik JAIN
  • Patent number: 11521321
    Abstract: Disclosed is a system and a method for monitoring a CT scan image. A CT scan image may be resampled into a plurality of slices using a bilinear interpolation. A region of interest may be identified on each slice using an image processing technique. The region of interest may be masked on each slice using deep learning. Subsequently, a nodule may be detected as the region of interest using the deep learning. Further, a plurality of characteristics associated with the nodule may be identified. Furthermore, an emphysema may be detected in the region of interest on each slice. A malignancy risk score for the patient may be computed. A progress of the nodule may be monitored across subsequent CT scan images. Finally, a report of the patient may be generated.
    Type: Grant
    Filed: December 3, 2021
    Date of Patent: December 6, 2022
    Assignee: QURE.AI TECHNOLOGIES PRIVATE LIMITED
    Inventors: Prashant Warier, Ankit Modi, Preetham Putha, Prakash Vanapalli, Vikash Challa
  • Patent number: 11443277
    Abstract: Systems and methods are provided for identifying a product in an image and outputting stock keeping units of the product. The system comprises three main components: a database server, a data analytics system and a standard dashboard. The database server contains real-time inventory images as well as historical images of each product type. The data analytics system is executed by a computer processor configured to apply object detection and classification and deep learning algorithms to detect product information captured by the image. The data analytics system is also configured to determine hierarchical classification categories for the product. The standard dashboard is configured to output a report regarding the product information.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: September 13, 2022
    Assignee: Fractal Analytics Private Limited
    Inventors: Prakash Vanapalli, Vikash Challa, Sachin Chandra Bonagiri, Suraj Amonkar, Sarang Pande, Samreen Khan
  • Publication number: 20210304123
    Abstract: Systems and methods are provided for identifying a product in an image and outputting stock keeping units of the product. The system comprises three main components: a database server, a data analytics system and a standard dashboard. The database server contains real-time inventory images as well as historical images of each product type. The data analytics system is executed by a computer processor configured to apply object detection and classification and deep learning algorithms to detect product information captured by the image. The data analytics system is also configured to determine hierarchical classification categories for the product. The standard dashboard is configured to output a report regarding the product information.
    Type: Application
    Filed: May 8, 2020
    Publication date: September 30, 2021
    Applicant: Fractal Analytics Private Limited
    Inventors: Prakash Vanapalli, Vikash Challa, Sachin Chandra Bonagiri, Suraj Amonkar, Sarang Pande, Samreen Khan