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Akademický článek

Molecular mechanism of Zic3 controlling embryonic cerebrovascular development via non-classical Wnt and VEGF signaling axes in zebrafish

Autor: LI Shuaiting, WANG Yunpeng, YUAN Zhi, WANG Yeqi, CHENG Zhi, HUANG Huizhe

Publikováno v: Di-san junyi daxue xuebao, Vol 43, Iss 19, Pp 1831-1838 (2021)

Objective To explore the effects of zinc finger transcription factor 3 (zic3) gene on cerebrovascular development in zebrafish at early stage and its mechanisms. Methods CRISPR/Cas9 technique was used to obtain the zebrafish with zic3 mutation. The p

Externí odkaz: https://doaj.org/article/c508de3b53a64df7908a66a4834b40c5

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Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

Autor: Wang, Yeqi, Huang, Weijian, Li, Cheng, Zheng, Xiawu, Lin, Yusong, Wang, Shanshan

Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliary glioma diagnosis plays an important role in the clinic. Contrast-enhanced MRI sequences (e.g., contrast-enhanced T1-weighted imaging) were utilized in most of the existing rele

Externí odkaz: http://arxiv.org/abs/2211.07966

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Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading

Autor: Wang, Yeqi, Li, Longfei, Li, Cheng, Xi, Yan, Zheng, Hairong, Lin, Yusong, Wang, Shanshan

Radiomics and deep learning have shown high popularity in automatic glioma grading. Radiomics can extract hand-crafted features that quantitatively describe the expert knowledge of glioma grades, and deep learning is powerful in extracting a large nu

Externí odkaz: http://arxiv.org/abs/2201.02746

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