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Open access Sep 2026

MRI Radiomics for Survival Prediction in Brain Metastases: A Machine Learning Analysis.

T1 postcontrast MRI radiomics showed limited standalone discrimination for overall survival in patients with brain metastases, which support cautious use of radiomics as an exploratory imaging biomarker and emphasize the need for integrated prognostic models that include clinical, treatment, molecular, and systemic dis...

H. Salim, Evan Calabrese, Ahmed Naeem et al. · 0 citations
Review Open access Aug 2026

Deep-Learning Based Contrast Boosting: A Multi-Center Multi-Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI.

BACKGROUND Gadolinium-based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition. PU...

Srivathsa Pasumarthi Venkata, T. Arnold, Sonia Colombo Serra et al. · 0 citations

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