Research graph
References from Quality assurance for deep learning-based proton therapy planning in routine clinical use for oropharyngeal cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
Robust radiotherapy planning
10.1088/1361-6560/aae659 · 2018 · External reference
How important is dosimetrist experience for intensity modulated radiation therapy? A comparative analysis of a head and neck case
10.1016/j.prro.2012.06.009 · 2013 · External reference
Variation in external beam treatment plan quality: an inter-institutional study of planners and planning systems
10.1016/j.prro.2011.11.012 · 2012 · External reference
Interobserver variability in radiation therapy plan output: results of a single-institution study
10.1016/j.prro.2016.04.005 · 2016 · External reference
Beam mask and sliding window-facilitated deep learning-based accurate and efficient dose prediction for pencil beam scanning proton therapy
10.1002/mp.16758 · 2024 · External reference
Automating proton treatment planning with beam angle selection using Bayesian optimization
10.1002/mp.14215 · 2020 · External reference
Evaluation of an automated clinical decision system with deep learning dose prediction and NTCP model for prostate cancer proton therapy
10.1088/1361-6560/ad48f6 · 2024 · External reference
Feasibility study of fast intensity-modulated proton therapy dose prediction method using deep neural networks for prostate cancer
10.1002/mp.15702 · 2022 · External reference
Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization
10.1002/acm2.14065 · 2023 · External reference
Clinical implementation of automated treatment planning for whole-brain radiotherapy
10.1002/acm2.13350 · 2021 · External reference
Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer
10.1038/s41591-021-01359-w · 2021 · External reference
Evaluation of a clinically introduced deep learning model for radiotherapy treatment planning of breast cancer
2023 · External reference
Clinical implementation of deep learning robust IMPT planning in oropharyngeal cancer patients: a blinded clinical study
10.1016/j.radonc.2024.110522 · 2024 · External reference
Quality assurance for AI-based applications in radiation therapy
10.1016/j.semradonc.2022.06.011 · 2022 · External reference
Overview of artificial intelligence-based applications in radiotherapy: recommendations for implementation and quality assurance
10.1016/j.radonc.2020.09.008 · 2020 · External reference
Artificial intelligence for radiation treatment planning: bridging gaps from retrospective promise to clinical reality
10.1016/j.clon.2024.08.005 · 2025 · External reference
Plan quality in radiotherapy treatment planning – review of the factors and challenges
10.1111/1754-9485.13374 · 2022 · External reference
ICRU report 93: prescribing, recording and reporting light ion beam therapy
2020 · External reference
3D U-net: learning dense volumetric segmentation from sparse annotation
2016 · External reference
Minimax optimization for handling range and setup uncertainties in proton therapy
10.1118/1.3556559 · 2011 · External reference
Head and neck IMPT probabilistic dose accumulation: feasibility of a 2 mm setup uncertainty setting
10.1016/j.radonc.2020.09.001 · 2021 · External reference
A decision support tool to optimize selection of head and neck cancer patients for proton therapy
10.3390/cancers14030681 · 2022 · External reference
National Protocol for model-based selection for proton therapy in head and neck Cancer
10.14338/ijpt-20-00089.1 · 2021 · External reference
Practical robustness evaluation in radiotherapy - a photon and proton-proof alternative to PTV-based plan evaluation
10.1016/j.radonc.2019.08.005 · 2019 · External reference
