Patents by Inventor Fausto Milletari

Fausto Milletari 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: 11804050
    Abstract: Apparatuses, systems, and techniques to collaboratively train one or more machine learning models. Parameter reviewers may be configured to compare sets of machine learning model parameter information in order to generate one or more machine learning models, such as neural networks.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: October 31, 2023
    Assignee: NVIDIA Corporation
    Inventors: Fausto Milletari, Maximilian Baust, Nicola Rieke, Wenqi Li, Daguang Xu, Andrew Feng, Rong Ou, Yan Cheng
  • Patent number: 11100643
    Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: August 24, 2021
    Assignee: NVIDIA Corporation
    Inventors: Dong Yang, Holger Reinhard Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Te-Chung Isaac Yang, Daguang Xu
  • Publication number: 20210073995
    Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.
    Type: Application
    Filed: September 11, 2019
    Publication date: March 11, 2021
    Inventors: Dong Yang, Holger Reinhard Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Te-Chung Isaac Yang, Daguang Xu
  • Publication number: 20200394459
    Abstract: Apparatuses, systems, and techniques to generate synthesized images including digital representations of groups of cells blended realistically with appropriate background images. In at least one embodiment, background image data and gene expression data are fused together to generate such a synthesized image using one or more neural networks.
    Type: Application
    Filed: June 17, 2019
    Publication date: December 17, 2020
    Inventors: Ziyue Xu, Xiaosong Wang, Hoo Chang Shin, Dong Yang, Holger Roth, Daguang Xu, Ling Zhang, Fausto Milletari