Publications by authors named "Jinlin Zheng"
Article Synopsis
- Autism is characterized by abnormal brain network patterns that differ from typically developing children, and researching these differences can help understand cognitive development.* -
- Non-negative matrix factorization (NMF) was used to analyze brain networks by breaking them down into subnetworks, revealing significant differences in network expressions between autistic and control children.* -
- The study identified specific subnetworks in different brain frequency bands that correlated inversely with cognitive abilities in autistic children, further supporting existing theories about lateralization and brain function in autism.*
Dicentric chromosome analysis is the gold standard for biological dose assessment. To enhance the efficiency of biological dose assessment in large-scale radiation catastrophes, automatic identification of dicentric chromosome images is a promising and objective method. In this paper, an automatic identification method for dicentric chromosome images using two-stage convolutional neural network is proposed based on Giemsa-stained automatic microscopic imaging.
View Article and Find Full Text PDFCytokinesis block micronucleus (CBMN) assay is a widely used radiation biological dose estimation method. However, the subjectivity and the time-consuming nature of manual detection limits CBMN for rapid standard assay. The CBMN analysis is combined with a convolutional neural network to create a software for rapid standard automated detection of micronuclei in Giemsa stained binucleated lymphocytes images in this study.
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