Publications (original articles or review articles) published in 2023 from OUS - Department of Medical Physics
18 publications found
Stability of metabolic tumor volume may enable radiotherapy dose painting in anal cancer
Phys Med, 114, 103151
DOI 10.1016/j.ejmp.2023.103151, PubMed 37813051
2D mapping of radiation dose and clonogenic survival for accurate assessment ofin vitroX-ray GRID irradiation effects
Phys Med Biol, 68 (2)
DOI 10.1088/1361-6560/acaf20, PubMed 36580679
Principal component-based image segmentation: a new approach to outline in vitro cell colonies
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11 (1), 18-30
DOI 10.1080/21681163.2022.2035822, PublikaID 404
Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning
Front Vet Sci, 10, 1143986
DOI 10.3389/fvets.2023.1143986, PubMed 37026102
Linear energy transfer-inclusive models of brainstem necrosis following proton therapy of paediatric ependymoma
Phys Imaging Radiat Oncol, 27, 100466
DOI 10.1016/j.phro.2023.100466, PubMed 37457667
Magnetic resonance imaging of anal cancer: tumor characteristics and early prediction of treatment outcome
Strahlenther Onkol, 200 (1), 19-27
DOI 10.1007/s00066-023-02114-5, PubMed 37429949
Combined RBE and OER optimization in proton therapy with FLUKA based on EF5-PET
J Appl Clin Med Phys, 24 (9), e14014
DOI 10.1002/acm2.14014, PubMed 37161820
Strategies for calculating contrast media dose for chest CT
Eur Radiol Exp, 7 (1), 29
DOI 10.1186/s41747-023-00345-w, PubMed 37303003
The impact of body compositions on contrast medium enhancement in chest CT: a randomised controlled trial
BJR Open, 5 (1), 20230054
DOI 10.1259/bjro.20230054, PubMed 37942494
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Front Med (Lausanne), 10, 1217037
DOI 10.3389/fmed.2023.1217037, PubMed 37711738
Radiation-induced long-term dysphagia in survivors of head and neck cancer and association with dose-volume parameters
Radiother Oncol, 190, 110044
DOI 10.1016/j.radonc.2023.110044, PubMed 38061420
A preclinical model to investigate normal tissue damage following fractionated radiotherapy to the head and neck
J Radiat Res, 64 (1), 44-52
DOI 10.1093/jrr/rrac066, PubMed 36253091
Expanded HILUS Trial: A Pooled Analysis of Risk Factors for Toxicity From Stereotactic Body Radiation Therapy of Central and Ultracentral Lung Tumors
Int J Radiat Oncol Biol Phys, 117 (5), 1222-1231
DOI 10.1016/j.ijrobp.2023.06.246, PubMed 37423292
Metal artifact reduction on musculoskeletal CT: a phantom and clinical study
Eur Radiol Exp, 7 (1), 46
DOI 10.1186/s41747-023-00354-9, PubMed 37524994
Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning
Acta Oncol, 62 (10), 1184-1193
DOI 10.1080/0284186X.2023.2270152, PubMed 37883678
MRI Assessment of Changes in Tumor Vascularization during Neoadjuvant Anti-Angiogenic Treatment in Locally Advanced Breast Cancer Patients
Cancers (Basel), 15 (18)
DOI 10.3390/cancers15184662, PubMed 37760629
A systematic approach for calibrating a Monte Carlo code to a treatment planning system for obtaining dose, LET, variable proton RBE and out-of-field dose
Phys Med Biol, 68 (22)
DOI 10.1088/1361-6560/ad0281, PubMed 37820690
Acute normal tissue responses in a murine model following fractionated irradiation of the head and neck with protons or X-rays
Acta Oncol, 62 (11), 1574-1580
DOI 10.1080/0284186X.2023.2254481, PubMed 37703217