Patents by Inventor Yuexiang Li

Yuexiang Li 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).

  • Publication number: 20230293485
    Abstract: The present invention relates to an application of an artemisinin compound in treatment of coronavirus infection. Specifically, the present invention provides an application of the compound, and a stereoisomer, a pharmaceutically acceptable salt, a solvate or a hydrate thereof in preparation of medicines. The medicines are used for treating diseases or infection caused by coronavirus (preferably SARS-CoV-2), and the compound is selected from one or more of artemisinin, arteether, artemether, artemisia ketone, dihydroartemisinin, artesunate, arteannuin B, and artemisinic acid.
    Type: Application
    Filed: July 22, 2021
    Publication date: September 21, 2023
    Inventors: Ruiyuan Cao, Manli Wang, Wei Li, Lei Zhao, Jingjing Yang, Yuexiang Li, Shiyong Fan, Xinbo Zhou, Dian Xiao, Zhihong Hu, Song Li, Wu Zhong
  • Patent number: 11748889
    Abstract: Embodiments of this application disclose a brain image segmentation method and apparatus, a network device, and a storage medium. The method includes obtaining, by a device, a to-be-segmented image group comprising a plurality of modal images of a brain. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes performing, by the device, skull stripping according to the plurality of modal images to obtain a skull-stripped mask; separately performing, by the device, feature extraction on the plurality of modal images to obtain extracted features, and fusing the extracted features to obtain a fused feature; segmenting, by the device, encephalic tissues according to the fused feature to obtain an initial segmentation result; and fusing, by the device, the skull-stripped mask and the initial segmentation result to obtain a segmentation result corresponding to the to-be-segmented image group.
    Type: Grant
    Filed: April 27, 2021
    Date of Patent: September 5, 2023
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Heng Guo, Yuexiang Li, Yefeng Zheng
  • Publication number: 20230263748
    Abstract: The present invention relates to an application of benflumetol and derivatives thereof in treatment of coronavirus infection, and specifically provides uses of a compound represented by formula A, and a stereoisomer, a pharmaceutically acceptable salt, a solvate or a hydrate thereof in preparation of drugs. The drugs are used for treating diseases or infection caused by coronavirus (preferably SARS-CoV-2).
    Type: Application
    Filed: July 22, 2021
    Publication date: August 24, 2023
    Inventors: Ruiyuan CAO, Manli WANG, Wei LI, Lei ZHAO, Jingjing YANG, Yuexiang LI, Shiyong FAN, Xinbo ZHOU, Dian XIAO, Zhihong HU, Song LI, Wu ZHONG
  • Publication number: 20230210807
    Abstract: Disclosed are the use of a benzoate compound as shown in formula I, a geometric isomer thereof, a pharmaceutically acceptable salt thereof and/or a solvate thereof or a hydrate thereof, and a pharmaceutical composition containing the above-mentioned compound in the prevention and treatment of SARS-CoV-2 infections.
    Type: Application
    Filed: July 15, 2020
    Publication date: July 6, 2023
    Inventors: Wu ZHONG, Ruiyuan CAO, Gengfu XIAO, Zhihong HU, Manli WANG, Leike ZHANG, Wei LI, Yuexiang LI, Lei ZHAO, Shiyong FAN, Song LI
  • Publication number: 20230108389
    Abstract: A data processing method includes: acquiring an initial sample angiography image set; performing data expansion processing on a first sample angiography image based on physical characteristics of blood vessels at a target site to obtain a processed sample angiography image, performing label conversion processing on a first label based on the physical characteristics of the blood vessels at the target site to obtain a second label of the processed sample angiography image, and adding the processed sample angiography image and the second label to a target sample angiography image set; and training an angiography image recognition model using the initial sample angiography image set and the target sample angiography image set to obtain a trained angiography image recognition model. The performance of the trained angiography image recognition model is improved by increasing the number of samples.
    Type: Application
    Filed: December 5, 2022
    Publication date: April 6, 2023
    Inventors: Dong Wei, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng
  • Publication number: 20230092619
    Abstract: An image classification method includes: performing image segmentation on an unlabeled sample image to obtain image blocks and performing feature extraction on each image block to obtain an initial image feature set including an initial image feature corresponding to each image block, rearranging and combining initial image features in the initial image feature set to obtain a first image feature set and a second image feature set, first image features in the first image feature set and second image features in the second image feature set corresponding to different rearrangement and combination manners, pre-training an image classification model based on the first image feature set and the second image feature set, the image classification model being configured to classify content in an image, and fine-tuning the pre-trained image classification model based on a labeled sample image.
    Type: Application
    Filed: November 30, 2022
    Publication date: March 23, 2023
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yuexiang LI, Nanjun HE, Kai MA, Yefeng ZHENG
  • Publication number: 20230077704
    Abstract: Nitazoxanide represented by formula I and an active form thereof, tizoxanide compound, represented by formula II, a geometric isomer thereof and pharmaceutically acceptable salt thereof and/or solvate thereof and/or hydrate thereof, and a pharmaceutical composition containing this compound, used for preventing and/or treating coronavirus (such as SARS-CoV-2) infection.
    Type: Application
    Filed: July 15, 2020
    Publication date: March 16, 2023
    Inventors: Wu Zhong, Gengfu Xiao, Zhihong Hu, Manli Wang, Ruiyan Cao, Leike Zhang, Wei Li, Yuexiang Li, Lei Zhao, Song Li
  • Publication number: 20230080098
    Abstract: An object recognition method includes extracting, by a first Transformer network, spatial features of a plurality of medical images respectively, the plurality of medical images being images of a same object at different times, and fusing the extracted plurality of spatial features, to obtain a first fusion spatial feature of the object. The method further includes extracting, by a second Transformer network, a spatial-temporal feature of the object based on the first fusion spatial feature. The spatial-temporal feature indicates a change in the spatial features of the plurality of medical images at the different times. The method further includes recognizing a state of the object based on the spatial-temporal feature, to obtain a recognition result of the object.
    Type: Application
    Filed: November 21, 2022
    Publication date: March 16, 2023
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Nanjun HE, Donghuan LU, Yuexiang LI, Yi LIN, Kai MA, Yefeng ZHENG
  • Publication number: 20230074520
    Abstract: A computer device performs feature extraction on two-dimensional medical images included in a three-dimensional medical image, to obtain image features corresponding to the two-dimensional medical images. The three-dimensional medical image are obtained by continuously scanning a target tissue structure. The computer device determines offsets of the two-dimensional medical images in a target direction based on the image features. The computer device performs feature alignment on the image features based on the offsets, to obtain aligned image features. The computer device performs three-dimensional segmentation on the three-dimensional medical image based on the aligned image features, to obtain three-dimensional layer distribution of the target tissue structure in the three-dimensional medical image.
    Type: Application
    Filed: November 11, 2022
    Publication date: March 9, 2023
    Inventors: Dong WEI, Donghuan LU, Hong LIU, Yuexiang LI, Kai MA, Yefeng ZHENG, Liansheng WANG
  • Publication number: 20230051411
    Abstract: Methods and apparatuses for image processing are provided. A first image belonging to a first image domain is acquired and input to an image processing model to be trained to obtain a second image belonging to a second image domain. A first correlation degree between an image feature of the first image and an image feature of the second image to obtain a target feature correlation degree is calculated. A second correlation degree between feature value distribution of the image feature of the first image and feature value distribution of the image feature of the second image is calculated to obtain a distribution correlation degree. Model parameters of an image processing model are adjusted to a direction in which the target feature correlation degree is increased and a direction in which the distribution correlation degree is increased to obtain a trained image processing.
    Type: Application
    Filed: October 31, 2022
    Publication date: February 16, 2023
    Inventors: Jiawei CHEN, Yuexiang LI, Kai MA, Yefeng ZHENG
  • Publication number: 20220220106
    Abstract: Provided are quinoline derivative compounds of Formulae (I), (II) and (III) with an inhibitory effect on mTOR and applications of their pharmaceutically acceptable salts, their stereoisomers, their hydrates or their solvates in preparation of medicine for preventing and/or treating diseases caused by enteroviruses.
    Type: Application
    Filed: April 24, 2020
    Publication date: July 14, 2022
    Inventors: Wu ZHONG, Tianlong HAO, Ruiyuan CAO, Tong CHENG, Yuexiang LI, Shiyong FAN, Wei LI, Shixu WANG, Ningshao XIA, Song LI
  • Publication number: 20220222796
    Abstract: An image processing method includes obtaining a sample image and a generative adversarial network (GAN), including a generation network and an adversarial network, and performing style conversion on the sample image, to obtain a reference image. The method further includes performing global style recognition on the reference image, to determine a global style loss between the reference image and the sample image, and performing image content recognition on the reference image and the sample image, to determine a content loss between the reference image and the sample image. The method also includes performing local style recognition on the reference image and the sample image, to determine a local style loss of the reference image and a local style loss of the sample image, training the generation network to obtain a trained generation network, and performing style conversion on a to-be-processed image by using the trained generation network.
    Type: Application
    Filed: March 29, 2022
    Publication date: July 14, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: XINPENG XIE, JIAWEI CHEN, YUEXIANG LI, KAI MA, YEFENG ZHENG
  • Publication number: 20220036135
    Abstract: A method for determining a target image to be labeled includes: obtaining an original image and an autoencoder (AE) set, the original image being an image having not been labeled, the AE set including N AEs; obtaining an encoded image set corresponding to the original image by using the AE set, the encoded image set including N encoded images, the encoded images being corresponding to the AEs; obtaining the encoded image set and a segmentation result set corresponding to the original image by using an image segmentation network, the image segmentation network including M image segmentation sub-networks, and the segmentation result set including [(N+1)*M] segmentation results; determining labeling uncertainty corresponding to the original image according to the segmentation result set; and determining whether the original image is a target image according to the labeling uncertainty.
    Type: Application
    Filed: October 14, 2021
    Publication date: February 3, 2022
    Inventors: Yifan HU, Yuexiang LI, Yefeng ZHENG
  • Publication number: 20210374475
    Abstract: An image recognition method includes: obtaining a target three-dimensional (3D) image; inputting the target 3D image to a first recognition model; and obtaining the image type of the target 3D image outputted by the first recognition model. The first recognition model is configured to perform image recognition on the target 3D image to obtain an image type of the target 3D image. A convolutional block of the first recognition model is the same as a convolutional block of a second recognition model, and configured to perform image recognition on the target 3D image. The second recognition model is obtained by training an original recognition model using a target training sample, the target training sample including cubes obtained by rotating and sorting N target cubes obtained from a 3D sample image, N being a natural number greater than 1.
    Type: Application
    Filed: August 13, 2021
    Publication date: December 2, 2021
    Inventors: Xinrui Zhuang, Yuexiang Li, Yefeng Zheng
  • Publication number: 20210346411
    Abstract: The present application relates to use of a substituted aminopropionate compound represented by Formula I, a geometric isomer, a pharmaceutically acceptable salt, a solvate and/or a hydrate thereof, and a pharmaceutical composition comprising the compound for the treatment of a disease or an infection caused by a SARS-CoV-2.
    Type: Application
    Filed: July 16, 2021
    Publication date: November 11, 2021
    Applicant: Academy of Military Medical Sciences
    Inventors: Wu ZHONG, Ruiyuan CAO, Gengfu XIAO, Zhihong HU, Manli WANG, Leike ZHANG, Wei LI, Yuexiang LI, Lei ZHAO, Shiyong FAN, Song LI
  • Publication number: 20210248751
    Abstract: Embodiments of this application disclose a brain image segmentation method and apparatus, a network device, and a storage medium. The method includes obtaining, by a device, a to-be-segmented image group comprising a plurality of modal images of a brain. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes performing, by the device, skull stripping according to the plurality of modal images to obtain a skull-stripped mask; separately performing, by the device, feature extraction on the plurality of modal images to obtain extracted features, and fusing the extracted features to obtain a fused feature; segmenting, by the device, encephalic tissues according to the fused feature to obtain an initial segmentation result; and fusing, by the device, the skull-stripped mask and the initial segmentation result to obtain a segmentation result corresponding to the to-be-segmented image group.
    Type: Application
    Filed: April 27, 2021
    Publication date: August 12, 2021
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Heng GUO, Yuexiang LI, Yefeng ZHENG
  • Publication number: 20210220377
    Abstract: The present application relates to use of a substituted aminopropionate compound represented by Formula I, a geometric isomer, a pharmaceutically acceptable salt, a solvate and/or a hydrate thereof, and a pharmaceutical composition comprising the compound for the treatment of a disease or an infection caused by a SARS-CoV-2.
    Type: Application
    Filed: October 14, 2020
    Publication date: July 22, 2021
    Applicant: Academy of Military Medical Sciences
    Inventors: Wu ZHONG, Ruiyuan Cao, Gengfu Xiao, Zhihong Hu, Manli Wang, Leike Zhang, Wei Li, Yuexiang Li, Lei Zhao, Shiyong Fan, Song Li