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Mathematics
  • "Knowledge and Data" Driven AIGC in Brain Image Computing for Alzheimer's Disease Analysis

    A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.

    Jan 20, 2024
  • Artificial Intelligence Facilitates Tissue Substructure Identification from Spatial Resolved Transcriptomics

    A research team led by Prof. ZHANG Shihua from the Academy of Mathematics and Systems Science has proposed a new computational tool, STAGATE, to decipher tissue substructures from spatial resolved transcriptomics. The model uses artificial intelligence technology to integrate spatial location information and gene expression profile of spatial spots. In this algorithm, a graph attention autoencoder is introduced, with a graph attention mechanism in the middle hidden layer, which can learn the heterogeneous similarities between neighboring spots adaptively.

    Apr 02, 2022
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Physics
  • Schematic illustration of the synthesis process of the "matryoshka doll" 3D-MLCT and the 3D-MLCT-based filter capacitor
    Matryoshka Doll Structures Miniaturize Filter Capacitors

    A research team led by Prof. MENG Guowen and Prof. HAN Fangming from the Hefei Institutes of Physical Science, together with Prof. WEI Bingqing from the University of Delaware, miniaturized line-filtering capacitors with "matryoshka doll" structure electrodes, providing a high-performance and space-saving solution for line-filtering applications.

    Mar 14, 2024
  • Remote Sensing Imaging
    Pan-sharpening Methodology Enhances Remote Sensing Images

    Researchers led by Prof. XIE Chengjun and Assoc. Prof. ZHANG Jie from the Hefei Institutes of Physical Science have introduced an innovative pan-sharpening method to improve remote sensing images.

    Mar 12, 2024
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