Meiping Ye
Nanjing, China
Last Updated: 09/26/2026
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Found 12 publications
Correction: The impact of spatial normalization strategies on the temporal features of the resting-state functional MRI: spatial normalization before rs-fMRI features calculation may reduce the reliability.
Journal: Frontiers in neuroscience
Published: June 16, 2026
Noninvasive Prediction of TP53 Gene Status and ATRX Gene Status in IDH-Mutant Glioma Using Multimodal MRI: Incorporating Morphological, Spectroscopic, Diffusion, and Perfusion Imaging.
Journal: Diagnostics (Basel, Switzerland)
Published: June 14, 2026
OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.
Journal: Proceedings of the National Academy of Sciences of the United States of America
Published: July 08, 2025
The diagnostic value of advanced tracer kinetic models in evaluating high grade gliomas recurrence and treatment response using dynamic contrast-enhanced MRI.
Journal: Frontiers in oncology
Published: November 28, 2024
Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas.
Journal: Frontiers in oncology
Published: November 19, 2024
Identification of intrinsic imaging subtypes using clustering analysis based on dynamic contrast-enhanced magnetic resonance imaging radiomics features for gliomas: preliminary associations with gene expression profiles.
Journal: Quantitative imaging in medicine and surgery
Published: July 18, 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 imaging.
Journal: Quantitative imaging in medicine and surgery
Published: June 03, 2024
Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging.
Journal: Frontiers in oncology
Published: February 02, 2024
Quantitative and Qualitative Parameters of DCE-MRI Predict CDKN2A/B Homozygous Deletion in Gliomas.
Journal: Academic radiology
Published: January 12, 2024
Predicting MGMT Promoter Methylation in Diffuse Gliomas Using Deep Learning with Radiomics.
Journal: Journal of clinical medicine
Published: April 27, 2022
The Impact of Spatial Normalization Strategies on the Temporal Features of the Resting-State Functional MRI: Spatial Normalization Before rs-fMRI Features Calculation May Reduce the Reliability.
Journal: Frontiers in neuroscience
Published: May 07, 2019
Showing 1-12 of 12
Last Updated: 09/26/2026