公开(公告)号：US12072954B1

公开(公告)日：2024-08-27

申请号：US16676314

申请日：2019-11-06

申请人： NVIDIA Corporation

发明人： Wenqi Li ,  Fausto Milletari ,  Daguang Xu ,  Yan Cheng ,  Nicola Christin Rieke ,  Charles Jonathan Hancox ,  Wentao Zhu ,  Rong Ou ,  Andrew Feng

IPC分类号： G06T7/00 ,  G06F7/57 ,  G06F18/214 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06V10/94 ,  G16H30/20

CPC分类号： G06F18/2148 ,  G06F7/57 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06V10/955 ,  G16H30/20 ,  G06V2201/03

摘要： Apparatuses, systems, and techniques to perform federated training of neural networks while maintaining control over dissemination of local models of neural networks from which aspects of local training data might be extracted. In at least one embodiment, a neural network is trained on local training data and a local model is provided to be aggregated with other local models into a global model that is in turn used for further local model training, wherein a provided local model or training is adjusted to reduce an ability to extract aspects of local training data therefrom.

公开(公告)号：US20220059221A1

公开(公告)日：2022-02-24

申请号：US17000982

申请日：2020-08-24

申请人： NVIDIA Corporation

发明人： Wentao Zhu ,  Daguang Xu ,  Peiying Ruan ,  Dong Yang ,  Ziyue Xu ,  Holger Reinhard Roth

IPC分类号： G16H50/20 ,  G16H70/20 ,  G16H50/70 ,  G16H30/20 ,  G16H30/40 ,  G16H10/40 ,  G16H40/20 ,  G16H50/80 ,  G16H20/40 ,  G16H50/50 ,  G06N3/08 ,  G06K9/62 ,  G06T7/00 ,  A61B6/03

摘要： Apparatuses, systems, and techniques to train one or more neural networks based, at least in part on, medical imaging data and clinical metadata or inference using one or more neural networks trained as such. In at least one embodiment, one or more circuits to train one or more neural network to predict a treatment for a patient suspected to have or confirmed to have COVID-19 based, at least in part on, medical imaging data and clinical metadata.

公开(公告)号：US20210383533A1

公开(公告)日：2021-12-09

申请号：US16891368

申请日：2020-06-03

申请人： NVIDIA Corporation

发明人： Can Zhao ,  Daguang Xu ,  Wentao Zhu ,  Dong Yang ,  Ziyue Xu

IPC分类号： G06T7/00 ,  G06T11/20

摘要： In at least one embodiment, an object detection system uses a neural network to identify and/or locate a set of organs in a medical image. In at least one embodiment, when training to identify and/or locate a particular organ, a subset of incompletely-labeled training images is used that excludes training images for which labels associated with particular organ are unavailable.

公开(公告)号：US20220027672A1

公开(公告)日：2022-01-27

申请号：US16940241

申请日：2020-07-27

申请人： NVIDIA Corporation

发明人： Ziyue Xu ,  Xiaosong Wang ,  Dong Yang ,  Holger Reinhard Roth ,  Can Zhao ,  Wentao Zhu ,  Daguang Xu

IPC分类号： G06K9/62 ,  G06K9/34 ,  G06N3/08

摘要： Apparatuses, systems, and techniques to train one or more neural networks to generate labels for unsupervised or partially-supervised data. In at least one embodiment, one or more pseudolabels are generated by a training framework based on available weak annotations for an input medical image, and combined with feature information about said input medical image generated by one or more neural networks to generate a label about said input medical image.

公开(公告)号：US20210374518A1

公开(公告)日：2021-12-02

申请号：US16885170

申请日：2020-05-27

申请人： NVIDIA Corporation

发明人： Wentao Zhu ,  Daguang Xu ,  Can Zhao ,  Ziyue Xu ,  Holger Reinhard Roth

IPC分类号： G06N3/08 ,  G06N3/04 ,  G06F9/38 ,  G06K9/62 ,  G06T7/00 ,  G06T7/10

摘要： Apparatuses, systems, and techniques are described herein to speed up inferencing in a neural network by copying output from one layer of the neural network to another computing resource based on dependencies among layers in the network. In at least one embodiment, a processor comprising one or more circuits causes two or more subsequent layers of one or more neural networks to be performed on separate computing resources from a previous layer of the one or more neural networks.

公开(公告)号：US20240161282A1

公开(公告)日：2024-05-16

申请号：US18405932

申请日：2024-01-05

申请人： NVIDIA Corporation

发明人： Wentao Zhu ,  Daguang Xu ,  Andriy Myronenko ,  Ziyue Xu

IPC分类号： G06T7/00 ,  G06F30/20 ,  G06N3/08 ,  G06T7/11 ,  G06T7/33

CPC分类号： G06T7/0012 ,  G06F30/20 ,  G06N3/08 ,  G06T7/11 ,  G06T7/344 ,  G06T2207/20081 ,  G06T2207/20084

摘要： Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.

公开(公告)号：US20240161281A1

公开(公告)日：2024-05-16

申请号：US18405922

申请日：2024-01-05

申请人： NVIDIA Corporation

发明人： Wentao Zhu ,  Daguang Xu ,  Andriy Myronenko ,  Ziyue Xu

IPC分类号： G06T7/00 ,  G06F30/20 ,  G06N3/08 ,  G06T7/11 ,  G06T7/33

CPC分类号： G06T7/0012 ,  G06F30/20 ,  G06N3/08 ,  G06T7/11 ,  G06T7/344 ,  G06T2207/20081 ,  G06T2207/20084

摘要： Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.

公开(公告)号：US20210374502A1

公开(公告)日：2021-12-02

申请号：US16889652

申请日：2020-06-01

申请人： NVIDIA Corporation

发明人： Holger Reinhard Roth ,  Dong Yang ,  Wenqi Li ,  Andriy Myronenko ,  Wentao Zhu ,  Ziyue Xu ,  Xiaosong Wang ,  Daguang Xu

IPC分类号： G06N3/04 ,  G06N3/08 ,  G06T7/10

摘要： Apparatuses, systems, and techniques to select a nueral network architecture from a plurality of neural networs in a federated learning (FL) settng. In at least one embodiment, a neural network is trained by combining training resutls from different FL computing systesms, where each of the different FL computing systems, for example, trains different portions of the nerual network.

公开(公告)号：US20220076133A1

公开(公告)日：2022-03-10

申请号：US17013432

申请日：2020-09-04

申请人： NVIDIA Corporation

发明人： Dong Yang ,  Ziyue Xu ,  Wenqi Li ,  Andriy Myronenko ,  Holger Reinhard Roth ,  Xiaosong Wang ,  Wentao Zhu ,  Daguang Xu

IPC分类号： G06N3/08 ,  G06N3/04

摘要： Apparatuses, systems, and techniques to facilitate global semi-supervised training of neural networks to perform image segmentation related to diagnosis and management of emerging diseases, such as COVID-19. In at least one embodiment, distributed client training frameworks train one or more client neural networks to perform image segmentation according to a local training data set as well as global neural network data aggregated, by one or more central servers, from each of one or more globally distributed client neural networks.

公开(公告)号：US20210049757A1

公开(公告)日：2021-02-18

申请号：US16540717

申请日：2019-08-14

申请人： NVIDIA Corporation

发明人： Wentao Zhu ,  Daguang Xu ,  Andriy Myronenko ,  Ziyue Xu

IPC分类号： G06T7/00 ,  G06T7/33 ,  G06T7/11 ,  G06N3/08 ,  G06F17/50

摘要： Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.