| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Abdominal compression as motion management for stereotactic radiotherapy of ventricular tachycardia
|
Mannerberg, Annika
|
|
|
28 |
C |
p.
|
article
|
| 2 |
Accurate, repeatable, and geometrically precise diffusion-weighted imaging on a 0.35 T magnetic resonance imaging-guided linear accelerator
|
Weygand, Joseph
|
|
|
28 |
C |
p.
|
article
|
| 3 |
A deep learning segmentation method to assess dose to organs at risk during breast radiotherapy
|
Saha, Monjoy
|
|
|
28 |
C |
p.
|
article
|
| 4 |
A geometry and dose-volume based performance monitoring of artificial intelligence models in radiotherapy treatment planning for prostate cancer
|
De Kerf, Geert
|
|
|
28 |
C |
p.
|
article
|
| 5 |
A network score-based metric to optimize the quality assurance of automatic radiotherapy target segmentations
|
Rodríguez Outeiral, Roque
|
|
|
28 |
C |
p.
|
article
|
| 6 |
A robust semi-automatic delineation workflow using denoised diffusion weighted magnetic resonance imaging for response assessment of patients with esophageal cancer treated with neoadjuvant chemoradiotherapy
|
den Boer, Robin
|
|
|
28 |
C |
p.
|
article
|
| 7 |
Automated contouring and statistical process control for plan quality in a breast clinical trial
|
Baroudi, Hana
|
|
|
28 |
C |
p.
|
article
|
| 8 |
Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
|
Grohmann, Maximilian
|
|
|
28 |
C |
p.
|
article
|
| 9 |
Calorimetry as a tool to improve the dosimetric accuracy in novel radiotherapy modalities
|
Horst, Felix
|
|
|
28 |
C |
p.
|
article
|
| 10 |
Clinical Implementation and Evaluation of Auto-Segmentation Tools for Multi-Site Contouring in Radiotherapy
|
Heilemann, Gerd
|
|
|
28 |
C |
p.
|
article
|
| 11 |
Clinical implementation of deep learning-based automated left breast simultaneous integrated boost radiotherapy treatment planning
|
Zeverino, Michele
|
|
|
28 |
C |
p.
|
article
|
| 12 |
Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer
|
Ma, Baoqiang
|
|
|
28 |
C |
p.
|
article
|
| 13 |
Comparison of photon intensity modulated, hybrid and volumetric modulated arc radiation treatment techniques in locally advanced non-small cell lung cancer
|
Hattu, Djoya
|
|
|
28 |
C |
p.
|
article
|
| 14 |
Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning
|
Texier, Blanche
|
|
|
28 |
C |
p.
|
article
|
| 15 |
Current and future developments of synthetic computed tomography generation for radiotherapy
|
van Elmpt, Wouter
|
|
|
28 |
C |
p.
|
article
|
| 16 |
Development of a comprehensive cardiac atlas on a 1.5 Tesla Magnetic Resonance Linear Accelerator
|
Schottstaedt, Aronne M.
|
|
|
28 |
C |
p.
|
article
|
| 17 |
Evaluation of a clinically introduced deep learning model for radiotherapy treatment planning of breast cancer
|
Bakx, Nienke
|
|
|
28 |
C |
p.
|
article
|
| 18 |
Evaluation of the clinical feasibility of cone-beam computed tomography guided online adaption for simulation-free palliative radiotherapy
|
Kejda, Alannah
|
|
|
28 |
C |
p.
|
article
|
| 19 |
Experimental validation of multi-fraction online adaptations in magnetic resonance guided radiotherapy
|
van den Dobbelsteen, Madelon
|
|
|
28 |
C |
p.
|
article
|
| 20 |
Functional lung avoidance in radiotherapy using optimisation of biologically effective dose with non-coplanar beam orientations
|
Bedford, James L.
|
|
|
28 |
C |
p.
|
article
|
| 21 |
Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy
|
Yoganathan, S.A.
|
|
|
28 |
C |
p.
|
article
|
| 22 |
In response to Grivas et al
|
van den Berg, Ingeborg
|
|
|
28 |
C |
p.
|
article
|
| 23 |
In silico trial of simulation-free hippocampal-avoidance whole brain adaptive radiotherapy
|
Price, Alex T.
|
|
|
28 |
C |
p.
|
article
|
| 24 |
Intra- and inter-fraction breath-hold variations and margins for radiotherapy of abdominal targets
|
Ehrbar, Stefanie
|
|
|
28 |
C |
p.
|
article
|
| 25 |
Monte Carlo modelling of a prototype small-body portable graphite calorimeter for ultra-high dose rate proton beams
|
Cotterill, John
|
|
|
28 |
C |
p.
|
article
|
| 26 |
Multi-camera optical tracking and fringe pattern analysis for eye surface profilometry in ocular proton therapy
|
Via, Riccardo
|
|
|
28 |
C |
p.
|
article
|
| 27 |
Multi-parametric optimization of magnetic resonance imaging sequences for magnetic resonance-guided radiotherapy
|
Fahad, Hafiz Muhammad
|
|
|
28 |
C |
p.
|
article
|
| 28 |
Precision requirements in stereotactic arrhythmia radioablation for ventricular tachycardia
|
Fast, Martin F.
|
|
|
28 |
C |
p.
|
article
|
| 29 |
Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
|
Kawula, Maria
|
|
|
28 |
C |
p.
|
article
|
| 30 |
Real-world validation of Artificial Intelligence-based Computed Tomography auto-contouring for prostate cancer radiotherapy planning
|
Palazzo, Gabriele
|
|
|
28 |
C |
p.
|
article
|
| 31 |
Results of a multicenter 4D computed tomography quality assurance audit: Evaluating image accuracy and consistency
|
Burghelea, Manuela
|
|
|
28 |
C |
p.
|
article
|
| 32 |
Re. van den Berg et al, Deep learning for automated contouring of neurovascular structures on magnetic resonance imaging for prostate cancer patients
|
Grivas, Nikolaos
|
|
|
28 |
C |
p.
|
article
|
| 33 |
Röntgen’s last will
|
Treutwein, Marius
|
|
|
28 |
C |
p.
|
article
|
| 34 |
Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization
|
Alborghetti, Lisa
|
|
|
28 |
C |
p.
|
article
|
| 35 |
Split-filter dual energy computed tomography radiotherapy: From calibration to image guidance
|
Edmund, Jens
|
|
|
28 |
C |
p.
|
article
|
| 36 |
The influence of dual-energy computed tomography image noise in proton therapy treatment planning
|
Näsmark, Torbjörn
|
|
|
28 |
C |
p.
|
article
|
Journal description