Research graph
References from Multimodal deep learning to support delineation of neuro-oncology organs based on the EPTN international neurological contouring atlas. Local targets link to admitted publications; unresolved targets remain external evidence.
Radiation dose-volume effects in the brain
10.1016/j.ijrobp.2009.02.091 · 2010 · External reference
Radiation dose-volume effects of optic nerves and chiasm
10.1016/j.ijrobp.2009.07.1753 · 2010 · External reference
Radiation associated brainstem injury
10.1016/j.ijrobp.2009.08.078 · 2010 · External reference
Radiation therapy and hearing loss
10.1016/j.ijrobp.2009.04.096 · 2010 · External reference
Radiation dose-volume effects in the spinal cord
10.1016/j.ijrobp.2009.04.095 · 2010 · External reference
10.1016/j.radonc.2017.12.013
10.1016/j.radonc.2017.12.013 · External reference
The European particle therapy network (EPTN) consensus on the follow-up of adult patients with brain and skull base tumours treated with photon or proton irradiation
10.1016/j.radonc.2022.01.018 · 2022 · External reference
Update of the EPTN atlas for CT- and MR-based contouring in neuro-oncology
10.1016/j.radonc.2021.05.013 · 2021 · External reference
10.1016/j.ctro.2022.02.005
10.1016/j.ctro.2022.02.005 · External reference
Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients
10.1080/0284186x.2023.2256958 · 2023 · External reference
Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs: consistency is key
10.1088/1361-6560/acc309 · 2023 · External reference
Deep learning dose prediction for IMRT of esophageal cancer: the effect of data quality and quantity on model performance
10.1016/j.ejmp.2021.02.026 · 2021 · External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
Unresolved reference
2024 · External reference
10.1016/j.ctro.2021.02.006
10.1016/j.ctro.2021.02.006 · External reference
Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study
10.2196/26151 · 2021 · External reference
Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy
10.1016/j.phro.2019.12.001 · 2020 · External reference
Unresolved reference
External reference
AID-RT: Standardising artificial intelligence documentation in RadioTherapy with a domain-specific model card
2026 · External reference
OpenTPS -- open-source treatment planning system for research in proton therapy
2023 · External reference
Unresolved reference
External reference
A national study on the inter-observer variability in the delineation of organs at risk in the brain
10.1080/0284186x.2021.1975813 · 2021 · External reference
Inter-observer variability in organs at risk contouring among radiation therapy students and qualified radiation therapists
2025 · External reference
Cranial organs at risk delineation: heterogenous practices in radiotherapy planning
10.1186/s13014-021-01756-y · 2021 · External reference
Metrics reloaded: recommendations for image analysis validation
10.1038/s41592-023-02151-z · 2024 · External reference
Understanding metric-related pitfalls in image analysis validation
10.1038/s41592-023-02150-0 · 2024 · External reference
Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: a critical review
10.1016/j.radonc.2021.05.003 · 2021 · External reference
Deep learning for automated ventricle and periventricular space segmentation on CT and T1CE MRI in neuro-oncology patients
10.3390/cancers17101598 · 2025 · External reference
Quantifying movement of optical structures during radiotherapy treatment for tumors near the Orbita
2025 · External reference
Deep-learning magnetic resonance imaging-based automatic segmentation for organs-at-risk in the brain: accuracy and impact on dose distribution
2023 · External reference
Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy
10.1002/acm2.14310 · 2024 · External reference
A comprehensive multifaceted technical evaluation framework for implementation of auto-segmentation models in radiotherapy
2025 · External reference
Development and evaluation of an automated EPTN-consensus based organ at risk atlas in the brain on MRI
10.1016/j.radonc.2022.06.004 · 2022 · External reference
Geometric and dosimetric analysis of CT- and MR-based automatic contouring for the EPTN contouring atlas in neuro-oncology
10.1016/j.ejmp.2023.103156 · 2023 · External reference
Improving confidence in MRI-based auto-segmentation via uncertainty assessment
10.2340/1651-226x.2026.45685 · 2026 · External reference
SynthSeg: segmentation of brain MRI scans of any contrast and resolution without retraining
10.1016/j.media.2023.102789 · 2023 · External reference
An open-source nnU-net algorithm for automatic segmentation of MRI scans in the male pelvis for adaptive radiotherapy
10.3389/fonc.2023.1285725 · 2023 · External reference
Development and comprehensive evaluation of a national DBCG consensus-based auto-segmentation model for lymph node levels in breast cancer radiotherapy
10.1016/j.radonc.2024.110567 · 2024 · External reference
