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Frontiers in Oncology|March 26, 2025
Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomasMeiping Ye, Zehong Cao, Zhengyang Zhu, et al.
Academic Radiology|March 5, 2024
Quantitative and Qualitative Parameters of DCE-MRI Predict CDKN2A/B Homozygous Deletion in GliomasHuiquan Yang, Zhengyang Zhu, Cong Long, et al.
Epidemiology and Infection|January 15, 2024
Clinical parameter-based prediction model for neurosyphilis risk stratificationYilan Yang, Xin Gu, Lin Zhu, et al.
Sexually Transmitted Infections|June 20, 2024
Clinical spectrum of late symptomatic neurosyphilis in China: an 11-year retrospective studyYilan Yang, Xin Gu, Lin Zhu, et al.
Frontiers in Cellular and Infection Microbiology|December 15, 2016
Clinical and Genomic Analysis of Liver Abscess-Causing <i>Klebsiella pneumoniae</i> Identifies New Liver Abscess-Associated Virulence GenesMeiping Ye, Jianfei Tu, Jianping Jiang, et al.
Frontiers in Neurology|April 1, 2022
Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and RepeatabilityYang Wang, Junkai Zhu, Jinli Zhao, et al.
Quantitative Imaging in Medicine and Surgery|December 19, 2024
Radiomics for predicting grades, isocitrate dehydrogenase mutation, and oxygen 6-methylguanine-DNA methyltransferase promoter methylation of adult diffuse gliomas: combination of structural MRI, apparent diffusion coefficient, and susceptibility-weighted imagingZhengyang Zhu, Jingfei Shen, Xue Liang, et al.
Frontiers in Neurology|May 27, 2022
Corrigendum: Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and RepeatabilityYang Wang, Junkai Zhu, Jinli Zhao, et al.
Iscience|January 14, 2026
Fully automated Res3DNet model to predict IDH mutation of gliomas from whole-brain MRI free of tumor segmentationZhengyang Zhu, Yuying Liu, Yang Song, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 8, 2025
OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter studyZhengyang Zhu, Han Wang, Tiexiang Li, et al.
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