Research graph
References from MRI Biomarkers for Brain Metastases in Lung Cancer Using Machine Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/j.nec.2020.06.001
10.1016/j.nec.2020.06.001 · External reference
Recent Trends in Epidemiology of Brain Metastases: An Overview
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10.1093/neuonc/noac118 · External reference
Treatment for Brain Metastases: ASCO-SNO-ASTRO Guideline
10.1200/jco.21.02314 · 2022 · External reference
Survival in Patients With Brain Metastases: Summary Report on the Updated Diagnosis-Specific Graded Prognostic Assessment and Definition of the Eligibility Quotient
10.1200/jco.20.01255 · 2020 · External reference
10.1016/j.ijrobp.2022.03.020
10.1016/j.ijrobp.2022.03.020 · External reference
Estimating Survival in Patients With Lung Cancer and Brain Metastases
10.1001/jamaoncol.2016.3834 · 2017 · External reference
10.3389/fimmu.2019.02294
10.3389/fimmu.2019.02294 · External reference
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10.1186/s12885-024-11875-w · External reference
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
2014 · External reference
Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. Oxford
2012 · External reference
10.3389/fonc.2022.857622
10.3389/fonc.2022.857622 · External reference
Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of BRAF V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial
2024 · External reference
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10.1148/radiol.2015151169 · External reference
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10.1186/s12874-018-0482-1 · External reference
10.1016/j.ejrad.2022.110226
10.1016/j.ejrad.2022.110226 · External reference
Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance
10.1007/s00330-020-07365-9 · 2021 · External reference
Tumor-infiltrating lymphocyte grade is an independent predictor of sentinel lymph node status and survival in patients with cutaneous melanoma
10.1200/jco.2011.37.8539 · 2012 · External reference
Matched MRI, Segmentations, and Histopathologic Images of Brain Metastases from Primary Lung Cancer
2026 · External reference
10.1002/hbm.24750
10.1002/hbm.24750 · External reference
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10.1109/tmi.2010.2046908 · External reference
10.3389/fninf.2013.00045
10.3389/fninf.2013.00045 · External reference
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10.1109/42.836373 · External reference
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
2020 · External reference
Regression Models and Life-Tables
10.1111/j.2517-6161.1972.tb00899.x · 1972 · External reference
Random survival forests
2008 · External reference
Recurrence-free survival prediction for anal squamous cell carcinoma after chemoradiotherapy using planning CT-based radiomics model
10.1093/bjr/tqae235 · 2025 · External reference
Limited capability of MRI radiomics to predict primary tumor histology of brain metastases in external validation
10.1093/noajnl/vdae060 · 2024 · External reference
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10.1109/tpami.2005.159 · External reference
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10.1016/j.adro.2024.101457 · External reference
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10.1007/s11060-019-03343-4 · External reference
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10.1186/s13244-025-01950-6 · External reference
Radiomics-Based Deep Learning Prediction of Overall Survival in Non-Small-Cell Lung Cancer Using Contrast-Enhanced Computed Tomography
10.3390/cancers14153798 · 2022 · External reference
A prognostic model integrating radiomics and deep learning based on CT for survival prediction in laryngeal squamous cell carcinoma
2025 · External reference
Radiomics-Based Computed Tomography Urogram Approach for the Prediction of Survival and Recurrence in Upper Urinary Tract Urothelial Carcinoma
10.3390/cancers16183119 · 2024 · External reference
Enhancement of Radiosurgical Treatment Outcome Prediction Using MRI Radiomics in Patients with Non-Small Cell Lung Cancer Brain Metastases
2021 · External reference
10.3389/fonc.2020.610691
10.3389/fonc.2020.610691 · External reference
Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgery
10.1093/noajnl/vdaa100 · 2020 · External reference
10.1093/neuonc/noz049
10.1093/neuonc/noz049 · External reference
10.1093/neuonc/not112
10.1093/neuonc/not112 · External reference
10.1126/scitranslmed.3003689
10.1126/scitranslmed.3003689 · External reference
10.1038/nrc3239
10.1038/nrc3239 · External reference
10.18632/oncotarget.5696
10.18632/oncotarget.5696 · External reference
10.1016/j.jtocrr.2025.100797
10.1016/j.jtocrr.2025.100797 · External reference
10.3389/fncel.2022.922181
10.3389/fncel.2022.922181 · External reference
10.3389/fonc.2020.604213
10.3389/fonc.2020.604213 · External reference
10.1080/2162402x.2015.1057388
10.1080/2162402x.2015.1057388 · External reference
10.1016/j.ijrobp.2012.05.047
10.1016/j.ijrobp.2012.05.047 · External reference