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公开(公告)号：US12073539B2
公开(公告)日：2024-08-27
申请号：US17564348
申请日：2021-12-29
发明人： Yikang Liu , Shanhui Sun , Terrence Chen , Zhang Chen , Xiao Chen
CPC分类号： G06T5/70 , G06N3/045 , G06N3/08 , G06T5/50 , G16H30/40 , G06T2207/10064 , G06T2207/20081 , G06T2207/20084
摘要： Described herein are systems, methods, and instrumentalities associated with denoising medical images such as fluoroscopic images using deep learning techniques. A first artificial neural network (ANN) is trained to denoise an input medical image in accordance with a provided target noise level. The training of the first ANN is conducted by pairing a noisy input image with target denoised images that include different levels of noise. These target denoised images are generated using a second ANN as intermediate outputs of the second ANN during different training iterations. As such, the first ANN may learn to perform the denoising task in an unsupervised manner without requiring noise-free training images as the ground truth.
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公开(公告)号：US12056592B2
公开(公告)日：2024-08-06
申请号：US16993724
申请日：2020-08-14
申请人： Eightfold AI Inc.
发明人： Sanjeet Hajarnis , Varun Kacholia , Tushar Makkar , Xingjian Wang , Yi Ding
IPC分类号： G06N3/04 , G06F18/21 , G06F18/2113 , G06F18/214 , G06F40/216 , G06N3/044 , G06N3/045 , G06T1/20
CPC分类号： G06N3/044 , G06F18/2113 , G06F18/2155 , G06F40/216 , G06N3/045 , G06T1/20
摘要： A system and method include one or more processing devices to implement a sequence of transformer neural networks, first and second sequence-to-sequence layers that each comprises a sequence of nodes, and an output layer to provide the first set and second set of score vectors to a downstream application of a natural language processing (NLP) task.
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公开(公告)号：USD1037191S1
公开(公告)日：2024-07-30
申请号：US29730997
申请日：2020-04-10
设计人： Fanglong Hu
摘要： FIG. 1 is a front view of an interactive smartboard showing my new design;
FIG. 2 is a rear view thereof;
FIG. 3 is a left side view thereof;
FIG. 4 is a right side view thereof;
FIG. 5 is a top view thereof;
FIG. 6 is a bottom view thereof;
FIG. 7 is a front perspective view thereof; and,
FIG. 8 is a rear perspective view thereof.
The broken lines in the drawings depict portions of the interactive smartboard that form no part of the claimed design.-
公开(公告)号：US12051204B2
公开(公告)日：2024-07-30
申请号：US17538232
申请日：2021-11-30
发明人： Ziyan Wu , Srikrishna Karanam , Meng Zheng , Abhishek Sharma
CPC分类号： G06T7/0014 , G06N3/08 , G06T7/50 , G06T7/74 , G16H30/40 , G16H50/50 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004
摘要： The shape and/or location of an organ may change in accordance with changes in the body shape and/or pose of a patient. Described herein are systems, methods, and instrumentalities for automatically determining, using an artificial neural network (ANN), the shape and/or location of the organ based on human models that reflect the body shape and/or pose the patient. The ANN may be trained to learn the spatial relationship between the organ and the body shape or pose of the patient. Then, at an inference time, the ANN may be used to determine the relationship based on a first patient model and a first representation (e.g., a point cloud) of the organ so that given a second patient model thereafter, the ANN may automatically determine the shape and/or location of the organ corresponding to the body shape or pose of the patient indicated by the second patient model.
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公开(公告)号：US12013452B2
公开(公告)日：2024-06-18
申请号：US17741307
申请日：2022-05-10
发明人： Xiao Chen , Zhang Chen , Yikang Liu , Shanhui Sun , Terrence Chen , Lin Zhao
IPC分类号： G01R33/56 , G01R33/561 , G06N3/045 , G06N3/08
CPC分类号： G01R33/5608 , G01R33/5611 , G06N3/045 , G06N3/08
摘要： Described herein are systems, methods, and instrumentalities associated with reconstruction of multi-contrast magnetic resonance imaging (MRI) images. The reconstruction may be performed based on under-sampled MRI data collected for the multiple contrasts using corresponding sampling patterns. The sampling patterns and the reconstruction operations for the multiple contrasts may be jointly optimized using deep learning techniques implemented through one or more neural networks. An end-to-end reconstruction optimizing framework is provided with which information collected while processing one contrast may be stored and used for another contrast. A differentiable sampler is described for obtaining the under-sampled MRI data from a k-space and a novel holistic recurrent neural network is used to reconstruct MRI images based on the under-sampled MRI data.
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公开(公告)号：US11963741B2
公开(公告)日：2024-04-23
申请号：US18095857
申请日：2023-01-11
IPC分类号： G06F18/21 , A61B5/00 , G06F18/214 , G06T7/00 , G06T7/50 , G06T7/70 , G06T7/90 , G06T17/00 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/764 , G06V10/774 , G06V10/778 , G06V10/82 , G06V20/62 , G06V20/64 , G06V40/10 , G06V40/20 , G16H10/60 , G16H30/20 , G16H30/40
CPC分类号： A61B5/0077 , A61B5/0035 , A61B5/70 , G06F18/21 , G06F18/214 , G06F18/2193 , G06T7/0012 , G06T7/50 , G06T7/70 , G06T7/90 , G06T17/00 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/764 , G06V10/774 , G06V10/7796 , G06V10/82 , G06V20/62 , G06V20/64 , G06V40/10 , G06V40/20 , G16H10/60 , G16H30/20 , G16H30/40 , G06T2200/08 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30196 , G06V2201/033
摘要： The pose and shape of a human body may be recovered based on joint location information associated with the human body. The joint location information may be derived based on an image of the human body or from an output of a human motion capture system. The recovery of the pose and shape of the human body may be performed by a computer-implemented artificial neural network (ANN) trained to perform the recovery task using training datasets that include paired joint location information and human model parameters. The training of the ANN may be conducted in accordance with multiple constraints designed to improve the accuracy of the recovery and by artificially manipulating the training data so that the ANN can learn to recover the pose and shape of the human body even with partially observed joint locations.
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公开(公告)号：US11949579B2
公开(公告)日：2024-04-02
申请号：US17513270
申请日：2021-10-28
发明人： Yongdong Wang , Guibin Hua
IPC分类号： H04L43/12
CPC分类号： H04L43/12
摘要： This present disclosure describes path probe methods and devices. The methods comprise receiving a first path probe packet; establishing a first association according to link information in the first path probe packet and a path label of a network path to be probed; determining a third association based on an IP address in the first path probe packet and the path label of the network path to be probed. The IP address includes an IP address of an adjacent network node of the first network node, and a third association includes an association of the path label with the IP address of the adjacent node. The path probe method may reduce system overhead. In the transmission process, the number of network nodes may also be set according to needs. An IP overlay network based on label switching is realized.
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公开(公告)号：US11937967B2
公开(公告)日：2024-03-26
申请号：US18149111
申请日：2023-01-01
发明人： Ziyan Wu , Srikrishna Karanam , Meng Zheng , Abhishek Sharma , Ren Li
摘要： Systems, methods and instrumentalities are described herein for automating a medical environment. The automation may be realized using one or more sensing devices and at least one processing device. The sensing devices may be configured to capture images of the medical environment and provide the images to the processing device. The processing device may determine characteristics of the medical environment based on the images and automate one or more aspects of the operations in the medical environment. These characteristics may include, e.g., people and/or objects present in the images and respective locations of the people and/or objects in the medical environment. The operations that may be automated may include, e.g., maneuvering and/or positioning a medical device based on the location of a patient, determining and/or adjusting the parameters of a medical device, managing a workflow, providing instructions and/or alerts to a patient or a physician, etc.
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公开(公告)号：US11892090B2
公开(公告)日：2024-02-06
申请号：US16619424
申请日：2018-10-17
发明人： Chuanbao Zhu
CPC分类号： F16K27/041 , B29C45/2602 , B29C45/2616 , B29C45/33 , E03C1/04 , B29L2031/7506 , B29L2031/769
摘要： The disclosure relates to a plastic faucet body and a molding tool. The faucet body includes a left water inlet pipe and a right water inlet pipe, wherein a left valve seat installation recess is formed in the left water inlet pipe and a right valve seat installation recess is formed in the right water inlet pipe. A connecting cross-beam is disposed between the left water inlet pipe and the right water inlet pipe, wherein the connecting cross-beam is provided with a water outlet and a middle water channel is formed within the connecting cross-beam. The middle water channel includes a left water inlet channel and a right water inlet channel, wherein the left water inlet pipe and the water outlet are connected with the left water inlet channel, and the right water inlet pipe and the water outlet are connected with the right water inlet channel, and the left water inlet channel and the right water inlet channel are arc-shaped or U-shaped.
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公开(公告)号：USD994009S1
公开(公告)日：2023-08-01
申请号：US29773567
申请日：2021-03-10
设计人： Biliang Cheng
摘要： FIG. 1 is a front view of the tri-sensor camera showing my new design;
FIG. 2 is a rear view of the thereof,
FIG. 3 is a left side view of the thereof;
FIG. 4 is a right side view of the thereof,
FIG. 5 is a top view of the thereof;
FIG. 6 is a bottom view of the thereof,
FIG. 7 is a perspective view of the tri-sensor camera;
FIG. 8 is another perspective view of the tri-sensor camera thereof; and,
FIG. 9 is another perspective view of the tri-sensor camera thereof in a state of use.
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