Introduction to Radiomics
2020 · Journal of Nuclear Medicine · 1,610 citations
https://doi.org/10.2967/jnumed.118.222893
P
Peter Gibbs
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Peter Gibbs is an academic researcher from University of Melbourne. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & MRI in cancer diagnosis & Advanced MRI Techniques and Applications. The author has an h-index of 37, co-authored 90 publications.
ORCID: 0000-0002-5754-7352Papers by this author
worksMRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer
2020 · EBioMedicine · 157 citations
https://doi.org/10.1016/j.ebiom.2020.103042
Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma
2019 · European Journal of Nuclear Medicine and Molecular Imaging · 76 citations
https://doi.org/10.1007/s00259-019-04420-6
Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
2020 · Breast Cancer Research · 71 citations
https://doi.org/10.1186/s13058-020-01292-9
Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade
2021 · Breast Cancer Research and Treatment · 20 citations
https://doi.org/10.1007/s10549-020-06074-7
Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer?
2025 · European Journal of Radiology · 5 citations
https://doi.org/10.1016/j.ejrad.2025.111986
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