Patents by Inventor Dimitrios LENIS

Dimitrios LENIS 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).

  • Sequential segmentation of anatomical structures in 3D scans
    Patent number: 11727573
    Abstract: Method of segmenting anatomical structures such as organs in 3D scans in an architecture that combines U-net, time-distributed convolutions and bidirectional convolutional LSTM.
    Type: Grant
    Filed: May 28, 2019
    Date of Patent: August 15, 2023
    Assignees: Agfa Healthcare NV, VRVis Zentrum fur Virtual Reality und Visualisierung Forschungs-GmbH
    Inventors: Alexey Novikov, David Major, Maria Wimmer, Dimitrios Lenis, Katja Buehler
  • Domain Aware Medical Image Classifier Interpretation by Counterfactual Impact Analysis
    Publication number: 20230177683
    Abstract: A neural network, trained for the task of deriving the attribution of image regions that significantly influence classification in a tool for pathology classification, comprising (i) a contracting branch, (ii) an attenuation module, (iii) an interconnected upsampling branch, and (iv) a final mapping module.
    Type: Application
    Filed: June 2, 2021
    Publication date: June 8, 2023
    Applicants: AGFA Healthcare NV, VRVIS Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH
    Inventors: Dimitrios Lenis, David Major, Maria Wimmer, Gert Sluiter, Astrid Berg, Katja Buehler
  • Method for Finding Image Regions that Significantly Influence Classification in a Tool for Pathology Classification in a Medical Image
    Publication number: 20230144724
    Abstract: A method for finding image regions that significantly influence classification in a tool for pathology classification in a medical image wherein image regions that influence classification are inpainted, by replacing the pixels in these regions by representations of heathy tissue, resulting in an image with a healthy classification-score in the classification tool.
    Type: Application
    Filed: March 30, 2021
    Publication date: May 11, 2023
    Applicants: AGFA Healthcare NV, VRVIS Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH
    Inventors: David Major, Dimitrios Lenis, Maria Wimmer, Gert Sluiter, Astrid Berg, Katja Buehler
  • SEQUENTIAL SEGMENTATION OF ANATOMICAL STRUCTURES IN 3D SCANS
    Publication number: 20210248749
    Abstract: Method of segmenting anatomical structures such as organs in 3D scans in an architecture that combines U-net, time-distributed convolutions and bidirectional convolutional LSTM.
    Type: Application
    Filed: May 28, 2019
    Publication date: August 12, 2021
    Inventors: Alexey Novikov, David Major, Maria Wimmer, Dimitrios Lenis, Katja Buehler
  • Multi-class image segmentation method
    Patent number: 11055851
    Abstract: A pipe-line method for multi-label segmentation of anatomic structures in a medical image using a convolutional neural network trained with a weighted loss function takes into account under—representation of at least one anatomical structure in a ground-truth mask relative to other anatomical structures. Different architectures for the convolutional neural network are described.
    Type: Grant
    Filed: January 24, 2018
    Date of Patent: July 6, 2021
    Assignees: Agfa HealthCare NV, VRVis Zentrum für Virtual Reality und Visualisierung
    Inventors: Alexey Novikov, David Major, Dimitrios Lenis, Maria Wimmer, Katja Buehler
  • MULTI-CLASS IMAGE SEGMENTATION METHOD
    Publication number: 20210019889
    Abstract: A pipe-line method for multi-label segmentation of anatomic structures in a medical image using a convolutional neural network trained with a weighted loss function takes into account under—representation of at least one anatomical structure in a ground-truth mask relative to other anatomical structures. Different architectures for the convolutional neural network are described.
    Type: Application
    Filed: January 24, 2018
    Publication date: January 21, 2021
    Inventors: Alexey NOVIKOV, David MAJOR, Dimitrios LENIS, Maria WIMMER, Katja BUEHLER