Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
2020 · Radiation Oncology · 76 citations
https://doi.org/10.1186/s13014-020-01553-z
R
Robert Poel
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Robert Poel is an academic researcher from University of Bern. The author has contributed to research in topics: Advanced Radiotherapy Techniques & Radiomics and Machine Learning in Medical Imaging & Glioma Diagnosis and Treatment. The author has an h-index of 9, co-authored 42 publications.
ORCID: 0000-0002-9817-4935Papers by this author
worksDosimetric analysis of local failures in skull-base chordoma and chondrosarcoma following pencil beam scanning proton therapy
2020 · Radiation Oncology · 21 citations
https://doi.org/10.1186/s13014-020-01711-3
Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma
2022 · Radiation Oncology · 6 citations
https://doi.org/10.1186/s13014-022-02137-9
A dual-layer quality assurance approach leveraging dose prediction for efficient review of automated contours of organs at risk in the brain in radiotherapy
2025 · Physics and Imaging in Radiation Oncology · 1 citations
https://doi.org/10.1016/j.phro.2025.100888
'If it is beautiful, it will endure on every level'
2010 · Leiden Repository (Leiden University) · 0 citations
1068: Clinical evaluation of a deep learning based auto-segmentation model for intracranial organs at risk
2024 · Radiotherapy and Oncology · 0 citations
https://doi.org/10.1016/s0167-8140(24)01542-1
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