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- Association of Graph-based Spatial Features with Overall Survival Status of Glioblastoma Patients
- MGMT Promoter Methylation Status in Initial and Recurrent Glioblastoma: Correlation Study with DWI and DSC PWI Features
- Assessment of Prognostic Value of Cystic Features in Glioblastoma Relative to Sex and Treatment with Standard-of-Care
- Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas
- Prognostic value of magnetic resonance imaging features in low-grade gliomas
- Non-Contrast-Enhancing Tumor: A New Frontier in Glioblastoma Research
- Predicting cancer outcomes from histology and genomics using convolutional networks
- Prognostic Implications of Gadolinium Enhancement of Skull Base Chordomas
- Predicting cancer outcomes from histology and genomics using convolutional networks
- MR Imaging Characteristics Associate with Tumor-Associated Macrophages in Glioblastoma and Provide an Improved Signature for Survival Prognostication
- Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
- T2-FLAIR Mismatch, an Imaging Biomarker for IDH and 1p/19q Status in Lower-grade Gliomas: A TCGA/TCIA Project
- The Initial Area Under the Curve Derived from Dynamic Contrast-Enhanced MRI Improves Prognosis Prediction in Glioblastoma with Unmethylated MGMT Promoter
- Early-Stage Glioblastomas: MR Imaging-Based Classification and Imaging Evidence of Progressive Growth
- Radiologic Features and Expression of Vascular Endothelial Growth Factor Stratify Survival Outcomes in Patients with Glioblastoma
- The Added Prognostic Value of Preoperative Dynamic Contrast-Enhanced MRI Histogram Analysis in Patients with Glioblastoma: Analysis of Overall and Progression-Free Survival
- Patterns of Tumor Contrast Enhancement Predict the Prognosis of Anaplastic Gliomas with IDH1 Mutation
- Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRI
- MRI Grading versus Histology: Predicting Survival of World Health Organization Grade II-IV Astrocytomas
- Advanced Magnetic Resonance Imaging of the Physical Processes in Human Glioblastoma
- Extent of Resection of Glioblastoma Revisited: Personalized Survival Modeling Facilitates More Accurate Survival Prediction and Supports a Maximum-Safe-Resection Approach to Surgery
- Arterial Spin-Labeling Assessment of Normalized Vascular Intratumoral Signal Intensity as a Predictor of Histologic Grade of Astrocytic Neoplasms
- Relationship between Tumor Enhancement, Edema, IDH1 Mutational Status, MGMT Promoter Methylation, and Survival in Glioblastoma
- Survival Analysis of Patients with High-Grade Gliomas Based on Data Mining of Imaging Variables
- Conventional MRI evaluation of gliomas
- Evidence for Sequenced Molecular Evolution of IDH1 Mutant Glioblastoma From a Distinct Cell of Origin
- Relationship between radiological characteristics and combined 1p and 19q deletion in World Health Organization grade III oligodendroglial tumours
- Identification of noninvasive imaging surrogates for brain tumor gene-expression modules
- Relationship between Survival and Edema in Malignant Gliomas: Role of Vascular Endothelial Growth Factor and Neuronal Pentraxin 2
- MRI in patients with high-grade gliomas treated with bevacizumab and chemotherapy