Research graph
References from Development of an artificial intelligence driven dose prediction pipeline for online adaptive magnetic resonance-guided radiotherapy. Local targets link to admitted publications; unresolved targets remain external evidence.
Image-guided radiotherapy: rationale, benefits, and limitations
10.1016/s1470-2045(06)70904-4 · 2006 · External reference
Different styles of image-guided radiotherapy
10.1016/j.semradonc.2007.07.003 · 2007 · External reference
Image guidance in radiation therapy: techniques and applications
2014 · External reference
Adaptive radiation therapy
10.1088/0031-9155/42/1/008 · 1997 · External reference
Online adaptive radiation therapy
10.1016/j.ijrobp.2017.04.023 · 2017 · External reference
CT-based online adaptive radiotherapy improves target coverage and organ at risk (OAR) avoidance in stereotactic body radiation therapy (SBRT) for prostate cancer
2024 · External reference
CT online adaptive radiotherapy is associated with dosimetric and acute toxicity improvements in prostate cancer treatment
10.1016/j.radonc.2025.111207 · 2025 · External reference
Online adaptive radiotherapy potentially reduces toxicity for high-risk prostate cancer treatment
10.1016/j.radonc.2021.12.013 · 2022 · External reference
Stereotactic MR-guided adaptive radiotherapy for pancreatic tumors: updated results of the Montpellier prospective registry study
10.3390/cancers15010007 · 2022 · External reference
Comparison of onboard low-field magnetic resonance imaging versus onboard computed tomography for anatomy visualization in radiotherapy
10.3109/0284186x.2015.1062541 · 2015 · External reference
CT-guided versus MR-guided radiotherapy: impact on gastrointestinal sparing in adrenal stereotactic body radiotherapy
10.1016/j.radonc.2021.11.024 · 2022 · External reference
Prostate intrafraction motion during the preparation and delivery of MR-guided radiotherapy sessions on a 1.5 T MR-Linac
10.1016/j.radonc.2020.06.044 · 2020 · External reference
Time analysis of online adaptive magnetic resonance–guided radiation therapy workflow according to anatomical sites
10.1016/j.prro.2020.07.003 · 2021 · External reference
Emergence of MR-Linac in radiation oncology: successes and challenges of riding on the MRgRT bandwagon
10.3390/jcm11175136 · 2022 · External reference
Time-driven activity-based costing comparison of CT-guided versus MR-guided SBRT
10.1200/jop.19.00605 · 2020 · External reference
Fast dose calculation in magnetic fields with GPUMCD
10.1088/0031-9155/56/16/003 · 2011 · External reference
Full daily re-optimization improves plan quality during online adaptive radiotherapy
2024 · External reference
Treatment time and learning curve analysis of 1.5 T MR-Linac workflows led by radiation oncologists or therapists
2025 · External reference
The future of MR-guided radiation therapy
10.1016/j.semradonc.2023.10.015 · 2024 · External reference
MR-linac: role of artificial intelligence and automation
10.1007/s00066-024-02358-9 · 2025 · External reference
First system for fully-automated multi-criterial treatment planning for a high-magnetic field MR-Linac applied to rectal cancer
10.1080/0284186x.2020.1766697 · 2020 · External reference
Deep learning-based dose prediction for magnetic resonance-guided prostate radiotherapy
10.1002/mp.17312 · 2024 · External reference
Integrating deep learning–based dose distribution prediction with Bayesian networks for decision support in radiotherapy for upper gastrointestinal cancer
10.4143/crt.2024.333 · 2025 · External reference
Assessment of efficacy in automated plan generation for Varian ethos intelligent optimization engine
10.1002/acm2.13539 · 2022 · External reference
Automated planning for prostate stereotactic body radiation therapy on the 1.5 T MR-Linac
2022 · External reference
Machine learning automated treatment planning for online magnetic resonance guided adaptive radiotherapy of prostate cancer
2024 · External reference
Domain adaptation of automated treatment planning from computed tomography to magnetic resonance
10.1088/1361-6560/ac72ec · 2022 · External reference
A patient-specific auto-planning method for MRI-guided adaptive radiotherapy in prostate cancer
10.1016/j.radonc.2024.110525 · 2024 · External reference
Swin UNETR: Swin transformers for semantic segmentation of brain Tumors in MRI images
10.1007/978-3-031-08999-2_22 · 2022 · External reference
AID-RT: standardising artificial intelligence documentation in radiotherapy with a domain-specific model card
10.1016/j.phro.2026.100940 · 2026 · External reference
Dosimetric evaluation of dose calculation uncertainties for MR-only approaches in prostate MR-guided radiotherapy
10.3389/fphy.2022.897710 · 2022 · External reference
Normal tissue dose-effect models in biological dose optimisation
10.1016/j.zemedi.2007.08.002 · 2008 · External reference
Quantification of the aperture modulation in radiotherapy treatment plans
10.1002/mp.70144 · 2025 · External reference
Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning
10.1016/j.radonc.2024.110662 · 2025 · External reference
Generating deliverable DICOM RT treatment plans for prostate VMAT by predicting MLC motion sequences with an encoder-decoder network
10.1002/mp.16545 · 2023 · External reference
Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: a feasibility study
10.3389/fonc.2023.939951 · 2023 · External reference
