Research graph
References from Explainable diffusion–perfusion radiomics using apparent diffusion coefficient and arterial spin labeling for ATRX status prediction in glioblastoma. Local targets link to admitted publications; unresolved targets remain external evidence.
Glioblastoma and other primary brain Malignancies in adults: A review
10.1001/jama.2023.0023 · 2023 · External reference
EANO guidelines on the diagnosis and treatment of diffuse gliomas of adulthood
10.1038/s41571-020-00447-z · 2021 · External reference
Tumor heterogeneity in glioblastomas: From light microscopy to molecular pathology
10.3390/cancers13040761 · 2021 · External reference
ATRX, a guardian of chromatin
10.1016/j.tig.2023.02.009 · 2023 · External reference
The chromatin remodeler ATRX: Role and mechanism in biology and cancer
10.3390/cancers15082228 · 2023 · External reference
The 2021 WHO classification of tumors of the central nervous system: A summary
10.1093/neuonc/noab106 · 2021 · External reference
The role of ATRX in glioma biology
10.3389/fonc.2017.00236 · 2017 · External reference
Utility of ATRX immunohistochemistry in diagnosis of adult diffuse gliomas
10.1111/his.12927 · 2016 · External reference
Radiogenomics of glioblastoma: Machine learning–based classification of molecular characteristics by using multiparametric and multiregional MR imaging features
10.1148/radiol.2016161382 · 2016 · External reference
Radiomics: Images are more than pictures, they are data
10.1148/radiol.2015151169 · 2016 · External reference
Unravelling tumour heterogeneity using next-generation imaging: Radiomics, radiogenomics, and habitat imaging
10.1016/j.crad.2016.09.013 · 2017 · External reference
Radiomics in brain tumor: Image assessment, quantitative feature descriptors, and machine-learning approaches
10.3174/ajnr.a5391 · 2018 · External reference
ATRX status in patients with gliomas: Radiomics analysis
10.1097/md.0000000000030189 · 2022 · External reference
Comparison of MRI sequences to predict ATRX status using radiomics-based machine learning
10.3390/diagnostics13132216 · 2023 · External reference
Predicting IDH and ATRX mutations in gliomas from radiomic features with machine learning: A systematic review and meta-analysis
10.3389/fradi.2024.1493824 · 2024 · External reference
Diffuse glioma molecular profiling with arterial spin labeling and dynamic susceptibility contrast perfusion MRI: A comparative study
10.1093/noajnl/vdae113 · 2024 · External reference
The biological meaning of radiomic features
10.1148/radiol.2021202553 · 2021 · External reference
Unresolved reference
External reference
A unified approach to interpreting model predictions
2017 · External reference
The role of advanced MR imaging in gliomas
10.3390/app16021027 · 2026 · External reference
Gliomas: Diffusion kurtosis MR imaging in grading
10.1148/radiol.12110927 · 2012 · External reference
Texture analysis in brain tumor MR imaging
10.2463/mrms.rev.2020-0159 · 2021 · External reference
Decision curve analysis to evaluate the clinical benefit of prediction models
10.1016/j.spinee.2021.02.024 · 2021 · External reference
SMOTE: Synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
