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Multi-parametric magnetic resonance imaging (mpMRI) scans for de novo Glioblastoma (GBM) patients from the University of Pennsylvania Health System (UPENN-GBM)
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-05325-1_55openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41019-025-00317-7openalex-snapshot
Operationalizing and Automating Data Validation in Data Spaces
inferred← citeshttps://doi.org/10.1016/j.ejrad.2025.111993openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.nicl.2024.103668openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41593-026-02202-6openalex-snapshot
A generalizable foundation model for analysis of human brain MRI
inferred← citeshttps://doi.org/10.1038/s41597-022-01560-7openalex-snapshot
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
inferred← citeshttps://doi.org/10.1038/s41598-026-60310-6openalex-snapshot
Lifelong learning enabled GAN framework for brain MRI FLAIR synthesis and tumor segmentation
inferred← citeshttps://doi.org/10.1038/s41746-026-03194-0openalex-snapshot
PREDICT-GBM: A multicenter platform advancing personalized glioblastoma radiotherapy planning
inferred← citeshttps://doi.org/10.1088/2057-1976/ad6573openalex-snapshot
Adaptive fine-tuning based transfer learning for the identification of MGMT promoter methylation status
inferred← citeshttps://doi.org/10.1093/neuonc/noaf234openalex-snapshot
A non-local diffusion magnetic resonance imaging tract density biomarker to stratify, predict, and interpret survival rates in human glioblastoma
inferred← citeshttps://doi.org/10.1093/noajnl/vdae180openalex-snapshot
Radiological, clinical, and molecular analyses reveal distinct subtypes of butterfly glioblastomas affecting the prognosis
inferred← citeshttps://doi.org/10.1101/2025.04.12.25325728openalex-snapshot
From Slices to Volumes: A Scalable Pipeline for Developing General-Purpose Brain MRI Foundation Models
inferred← citeshttps://doi.org/10.1117/12.3045257openalex-snapshot
Glioblastoma tumor segmentation using an ensemble of vision transformers
inferred← citeshttps://doi.org/10.1162/imag_a_00446openalex-snapshot
FastSurfer-LIT: Lesion inpainting tool for whole-brain MRI segmentation with tumors, cavities, and abnormalities
inferred← citeshttps://doi.org/10.1186/s13244-025-01900-2openalex-snapshot
Tumour surface regularity predicts survival and benefit from gross total resection in IDH-wildtype glioblastoma patients
inferred← citeshttps://doi.org/10.3340/jkns.2024.0100openalex-snapshot
Optimizing Glioblastoma, IDH-wildtype Treatment Outcomes : A Radiomics and Support Vector Machine-Based Approach to Overall Survival Estimation
inferred← citeshttps://doi.org/10.3389/fonc.2025.1433444openalex-snapshot
Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging
inferred← citeshttps://doi.org/10.3389/fonc.2026.1790776openalex-snapshot
Externally validated explainable 3D CNN ensemble model for non-invasive prediction of IDH and MGMT status in gliomas
inferred← citeshttps://doi.org/10.3390/app15148061openalex-snapshot
Enhanced Segmentation of Glioma Subregions via Modality-Aware Encoding and Channel-Wise Attention in Multimodal MRI
inferred← citeshttps://doi.org/10.3390/jimaging11010008openalex-snapshot
Enhanced CATBraTS for Brain Tumour Semantic Segmentation
inferred← citeshttps://doi.org/10.37394/23202.2025.24.54openalex-snapshot
Assessment of Convolutional Neural Networks for Glioblastoma Detection and Localization in Magnetic Resonance Imaging Scans
inferred← citeshttps://doi.org/10.64898/2026.01.13.26344038openalex-snapshot
Advancing Brain Tumor Diagnosis Using Deep Learning: A Systematic Review on Glioma Segmentation and Classification on Multiparametric MRI
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