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公开(公告)号:US12276713B2
公开(公告)日:2025-04-15
申请号:US17921465
申请日:2020-07-23
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor: Ye Li , Feng Du , Nan Li , Xing Yang , Qiaoyan Chen , Xin Liu , Hairong Zheng
IPC: G01R33/36 , G01R33/3415
Abstract: Provided is a quad-core radio-frequency coil circuit. The quad-core radio-frequency coil circuit includes a coil module (1) and a front-end module (2). The coil module (1) is configured to receive a nuclear magnetic test signal and, according to the nuclear magnetic test signal, generate an induction signal. The front-end module (2) is connected to the coil module (1) and configured to generate the nuclear magnetic test signal and collect the induction signal.
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公开(公告)号:US12257458B2
公开(公告)日:2025-03-25
申请号:US18325982
申请日:2023-05-30
Inventor: Hairong Zheng , Wei Zhou , Long Meng , Lili Niu , Zhengrong Lin , Xiaowei Huang , Junjie Zou
Abstract: The present application provides an ultrasonic wake-up system. The system includes an ultrasonic imaging device, an ultrasound stimulation device, and an ultrasound stimulation effect evaluation device, and acquires an ultrasonic image of a target object through the ultrasonic imaging device, transmits an ultrasound to the target object based on the ultrasonic image through the ultrasound stimulation device, and adjusts the transmitted ultrasound required through the ultrasound stimulation effect evaluation device. Therefore, peripheral nerves are accurately stimulated, an uplink reticular wake-up system is activated, so as to wake up patients with disorders of consciousness.
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43.
公开(公告)号:US12224057B2
公开(公告)日:2025-02-11
申请号:US17739121
申请日:2022-05-08
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor: Na Zhang , Hairong Zheng , Xin Liu , Zhanli Hu , Zhiyuan Huang , Dong Liang
Abstract: A medical image processing method and processing apparatus, and a computer readable storage medium. The method includes: obtaining a to-be-processed image; performing a feature extraction on the to-be-processed image to obtain a corresponding feature image; and re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image; wherein the first information is information of a pixel adjacent to the corresponding pixel in the features image, and the second information is information of a pixel that is not adjacent to and is similar to the corresponding pixel in the features image.
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公开(公告)号:US12190568B2
公开(公告)日:2025-01-07
申请号:US17889189
申请日:2022-08-16
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor: Hairong Zheng , Xin Liu , Na Zhang , Zhanli Hu , Qihang Chen , Dong Liang , Yongfeng Yang
IPC: G06V10/774 , A61B5/055 , G06T11/00 , G06V10/42
Abstract: Methods and apparatuses for training a magnetic resonance imaging model, electronic devices and computer readable storage media are provided. A method may include: acquiring a magnetic resonance image data set; constructing a ring deep neural network to be trained; inputting an under-sampled magnetic resonance image and a full-sampled magnetic resonance image respectively to two neural networks included in the ring deep neural network, to generate respective simulated magnetic resonance images; inputting a first simulated full-sampled magnetic resonance image and the full-sampled magnetic resonance image to a pre-constructed first simulated magnetic resonance image class discrimination model, to obtain a first discrimination result indicating whether or not the first simulated full-sampled magnetic resonance image is of a simulated magnetic resonance image class; and adjusting a network parameter of the ring deep neural network based on a preset loss function, to obtain a trained magnetic resonance imaging model.
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公开(公告)号:US20240419897A1
公开(公告)日:2024-12-19
申请号:US18673562
申请日:2024-05-24
Inventor: Junbiao DAI , Mingwei LU , Xiaoluo HUANG
IPC: G06F40/279 , G06F11/10
Abstract: The present application is suitable for the technical field of data processing, and provides a data error correction method and apparatus and an electronic device. The method includes: decoding a base sequence to be subjected to error correction into a first text, the base sequence to be subjected to error correction being composed of a plurality of bases; performing word segmentation on the first text to obtain a plurality of text units; performing error detection on the plurality of text units to obtain a text unit having an error; and performing error correction on the base sequence to be subjected to error correction according to the text unit having the error. By means of the above method, error correction for data can be achieved, and the storage cost of DNA can also be reduced.
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46.
公开(公告)号:US20240398999A1
公开(公告)日:2024-12-05
申请号:US18326899
申请日:2023-05-31
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES , THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor: Lintao CAI , Xing YANG , Ping GONG , Pengfei ZHANG , Benzhong TANG , Tsz Kin KWOK , Ting YANG , Qiqi LIU , Xiuwen ZHANG , Xinghua YU , Luo HAI
Abstract: The present invention belongs to the field of nanomedicine, and provides a DC biomimetic membrane nanoparticle loaded with an NIR-II AIE dye, a preparation method therefor and use thereof. The DC biomimetic membrane nanoparticle loaded with the NIR-II AIE dye comprises a DC membrane and an NIR-II AIE dye loaded therein, wherein the NIR-II AIE dye has photothermal characteristics. The DC biomimetic membrane nanoparticle loaded with the NIR-II AIE dye provided by the present invention not only solves the problem that the NIR-II AIE dye is poor in water solubility and limited in fluorescence imaging, but also increases the enrichment efficiency of the NIR-II AIE dye coated by the DC membrane at a tumor site and successfully activates the activity of T cells in vivo.
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公开(公告)号:US12154036B2
公开(公告)日:2024-11-26
申请号:US16999118
申请日:2020-08-21
Inventor: Shuqiang Wang , Yanyan Shen , Wenyong Zhang
IPC: G06N3/088 , G06F18/214 , G06F18/241 , G06F18/2431 , G06N3/044 , G06N3/045 , G06N3/08
Abstract: The present disclosure relates to an enhanced generative adversarial network and a target sample recognition method. The enhanced generative adversarial network in the present disclosure includes at least one enhanced generator and at least one enhanced discriminator, where the enhanced generator obtains generated data by processing initial data, and provides the generated data to the enhanced discriminator; the enhanced discriminator processes the generated data and feeds back a classification result to the enhanced generator; the enhanced discriminator includes: a convolution layer, a basic capsule layer, a convolution capsule layer, and a classification capsule layer, and the convolution layer, the basic capsule layer, the convolution capsule layer, and the classification capsule layer are sequentially connected to each other.
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公开(公告)号:US12153175B2
公开(公告)日:2024-11-26
申请号:US17824453
申请日:2022-05-25
Inventor: Zhanli Hu , Yongfeng Yang , Chunhui Zhang , Zhonghua Kuang , Xiaohui Wang , San Wu , Dong Liang , Xin Liu , Hairong Zheng
Abstract: A method for processing positron emission tomography data is provided, this method includes: obtaining a first coordinate and a second coordinate respectively corresponding to two ends of a response line to be processed; determining corresponding dimensional coordinates of the response line to be processed in a sinogram based on the first coordinate and the second coordinate; and generating the sinogram corresponding to the response line to be processed based on the dimensional coordinates. According to this method, the amount of calculation of system matrix is reduced, the accuracy of position information of the generated response line is improved, and the accuracy of generated sinogram is improved accordingly.
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公开(公告)号:US20240369583A1
公开(公告)日:2024-11-07
申请号:US18689508
申请日:2021-09-16
Inventor: Yu CHEN , Yijing CHEN , Yingying FAN
Abstract: An Alzheimer's disease biomarker, and a screening method therefor and use thereof. The Alzheimer's disease biomarker is 11(Z), 14(Z)-eicosadienoic acid. The screening method for the Alzheimer's disease biomarker comprises: acquiring samples, testing the samples, and performing structural identification and data analysis on metabolites in the samples, wherein specifically, metabolites in faeces samples can be tested by liquid chromatography-mass spectrometry, to carry out structural identification on the metabolites; and selecting a metabolite showing a difference from the metabolite level of a control group as the Alzheimer's disease biomarker. Using 11(Z), 14(Z)-eicosadienoic acid as an Alzheimer's disease biomarker is of great significance to clinical early diagnosis of Alzheimer's disease; the present invention can be used for preparing a diagnostic tool for Alzheimer's disease, predicting the individual treatment effects of patients with Alzheimer's disease, and preparing drugs for treating Alzheimer's disease.
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公开(公告)号:US12093833B2
公开(公告)日:2024-09-17
申请号:US17549258
申请日:2021-12-13
Applicant: Shenzhen Institutes of Advanced Technology
Inventor: Shuqiang Wang , Wen Yu , Chenchen Xiao , Shengye Hu
IPC: G06V10/32 , G06N3/088 , G06T7/00 , G06V10/26 , G06V10/34 , G06V10/764 , G06V10/774 , G06V10/82
CPC classification number: G06N3/088 , G06T7/0012 , G06V10/267 , G06V10/32 , G06V10/34 , G06V10/764 , G06V10/774 , G06V10/82 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30016
Abstract: A visualization method for evaluating brain addiction traits, an apparatus, and a computer-readable storage medium are provided. The method includes the following. A visualization processing request is received from a client, where the visual processing request contains an image to-be-processed. The image to-be-processed is masked to obtain a perturbation image masked. The perturbation image is classified with a visualization processing model to obtain a classification result, and the classification result is calculated to obtain an evaluation value of the perturbation image, where the evaluation value of the perturbation image is less than an evaluation value of the image to-be-processed without masking. The visualization evaluation result is determined according to the evaluation value of the perturbation image. The visualization evaluation result is sent to the client.
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