Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization

Robust and generalizable radiogenomics models can be learned with highly stable and discriminatory radiomics features.

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Publication Details

Journal
American Journal of Neuroradiology
Published
2026-02-12
DOI
https://doi.org/10.3174/ajnr.a9229
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization

Maria Nadeem, Hassan Mohy-ud-Din, Muhammad F. A. Chaudhary, Asma Shaheen
American Journal of Neuroradiology
Radiomics and Machine Learning in Medical Imaging
article

Towards robust and generalizable radio(gen)omics predictive models for brain tumor characterization

Maria Nadeem, Hassan Mohy-ud-Din, Muhammad F. A. Chaudhary, Asma Shaheen
article en

Abstract

Robust and generalizable radiogenomics models can be learned with highly stable and discriminatory radiomics features.

American Journal of Neuroradiology
Department of Physics, Mathematics and Informatics (BY)
Reduced inequalities
Openalex Percentile: Top 58%
Radiomics and Machine Learning in Medical Imaging
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