MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
about
Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset SessionAn Update on the Approach to the Imaging of Brain Tumors.Diagnostic and Therapeutic Biomarkers in Glioblastoma: Current Status and Future Perspectives.MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.MR textural analysis on T2 FLAIR images for the prediction of true oligodendroglioma by the 2016 WHO genetic classification.Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma.Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics.Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis.MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis.Imaging in neuro-oncology.Predicting IDH genotype in gliomas using FET PET radiomics
P2860
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P2860
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
@en
type
label
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
@en
prefLabel
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
@en
P2093
P2860
P356
P1433
P1476
MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas
@en
P2093
Daniel H Lachance
Ian F Parney
Jan C Buckner
Lucie Coufalova
Panagiotis Korfiatis
Rickey E Carter
Timothy L Kline
P2860
P304
P356
10.1118/1.4948668
P407
P577
2016-06-01T00:00:00Z