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公开(公告)号：US20230101741A1
公开(公告)日：2023-03-30
申请号：US17449165
申请日：2021-09-28
发明人： Youngjin Yoo , Eli Gibson , Pragneshkumar Patel , Gianluca Paladini , Poikavila Ullaskrishnan , Dorin Comaniciu
IPC分类号： G06N5/02
摘要： Systems and Methods for adaptive aggregation in a federated learning model. An aggregation server sends global model weights to all chosen collaborators for initialization. Each collaborator updates the model weights for certain epochs and then sends the updated model weights back to the aggregation server. The aggregation server adaptively aggregates the updated model weights using at least a computed model divergence value and sends the aggregated model weight to collaborators.
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公开(公告)号：US11432879B2
公开(公告)日：2022-09-06
申请号：US16104995
申请日：2018-08-20
发明人： Ankur Kapoor , Ali Kamen , Gianluca Paladini
摘要： An apparatus and method for tracking the position and orientation of one or more objects in three dimensional space is disclosed. One or more tracked sensor units are each connected with a respective object. Each tracked sensor unit includes one or more light sources and an inertial measurement unit. One or more position sensitive detector tracking devices track the position of the tracked sensor units. Each position sensitive detector tracking device includes a plurality of position sensitive detector sensors combined with optical lenses that focus light from a larger field of view onto each position sensitive detector sensor. The position and orientation of each object in three-dimensional space is calculated from the output of the inertial measurement unit of the respective tracked sensor unit and the output of the one or more position sensitive detector tracking devices in response to light emitted from the one or more light sources of the respective tracked sensor unit.
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公开(公告)号：US20170091982A1
公开(公告)日：2017-03-30
申请号：US14869042
申请日：2015-09-29
发明人： Klaus Engel , Daphne Yu , Gianluca Paladini
CPC分类号： G06T15/08 , G06T15/04 , G06T15/506 , G06T2210/41 , G06T2215/12 , G06T2215/16 , H04N5/2256
摘要： Methods, apparatuses, and systems are provided for live capturing of light map image sequences for image-based lighting of medical data. Patient volume scan data for a target area is received over time by a processor. Lighting environment data for the target area is captured over time by a camera. The camera transmits the lighting environment data to the processor over time. The processor lights the patient volume scan data with the lighting environment data into lighted volume data over time. The processor renders an image of the lighted volume data over time.
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公开(公告)号：US20230102732A1
公开(公告)日：2023-03-30
申请号：US17449190
申请日：2021-09-28
摘要： Systems and methods facilitate privacy-preserving data curation in a federated learning system by transmitting a portion of a potential data sample to a remote location. The portion is inspected for quality to rule out data samples that do not satisfy data curation criteria. The remote examination focuses on checking the region of interest but maintains privacy as the examination is unable to parse any other identifiable subject information such as face, body shape etc. because pixels or voxels outside the portion are not included. The examination results are sent back to the collaborators so that inappropriate data samples can be excluded during federated learning rounds.
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公开(公告)号：US09911225B2
公开(公告)日：2018-03-06
申请号：US14869042
申请日：2015-09-29
发明人： Klaus Engel , Daphne Yu , Gianluca Paladini
CPC分类号： G06T15/08 , G06T15/04 , G06T15/506 , G06T2210/41 , G06T2215/12 , G06T2215/16 , H04N5/2256
摘要： Methods, apparatuses, and systems are provided for live capturing of light map image sequences for image-based lighting of medical data. Patient volume scan data for a target area is received over time by a processor. Lighting environment data for the target area is captured over time by a camera. The camera transmits the lighting environment data to the processor over time. The processor lights the patient volume scan data with the lighting environment data into lighted volume data over time. The processor renders an image of the lighted volume data over time.
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