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Session

Radiobiological and predictive modelling, and radiomics
7016
Digital Poster
Physics
Alpha-Beta ratio estimation and radiotherapeutic equivalence of chemotherapy in oesophageal cancer
Kundan Singh Chufal, India
PO-1790
Scaling Down Deep Learning Architectures for Medical Datasets
Gilmer Valdes, USA
PO-1791
On dose cube pixel spacing pre-processing for features extraction stability in dosomic studies
Lorenzo Placidi, Italy
PO-1792
Quantifying the oxygen fixation mechanism in charged particle beams
Frank Van den Heuvel, The Netherlands
PO-1793
Features robustness in the radiomic workflow: the impact of software choice on feature variability
Mattia Zaffaroni, Italy
PO-1794
diffusion model based target definition for high-grade gliomas: robustness analysis
Wille Häger, Sweden
PO-1795
Machine learning-based models of toxicity in prostate cancer ultra-hypofractionated radiotherapy
Matteo Pepa, Italy
PO-1796
Relating proton LETd to biological response of salivary glands using PSMA-PET in clinical patients
Dirk Wagenaar, The Netherlands
PO-1797
Impact of inter-observer variability on MRI radiomic features in bladder cancer
Thiraviyam Elumalai, United Kingdom
PO-1798
Radiomic and dosiomic profiling of paediatric Medulloblastoma tumours treated with IMRT
Cinzia Talamonti, Italy
PO-1799
Exploring hypoxia in prostate cancer with T2-weighted MRI radiomics and pimonidazole scoring.
Michelle Leech, Ireland
PO-1800
Regional variation in relative biological effectiveness and pediatric brainstem toxicity
Lars Fredrik Fjæra, Norway
PO-1801
Deep learning using Pre-NACRT imaging can predict pathological response in esophageal cancer
Kundan Singh Chufal, India
PO-1802
Voxel-wise quantification of anatomical tumor lung location is associated with overall survival
Diem Vuong, Switzerland
PO-1803
Local radiomics and clinical variables to predict radiation-induced pneumonitis in NSCLC patients
Diem Vuong, Switzerland
PO-1804
In silico tumour modelling accounting for tumour oxygenation and its dynamics
Filippo Schiavo, Sweden
PO-1805
A framework for evaluating in vitro effects of GRID irradiation
Delmon Arous, Norway
PO-1806
Automated detection of online auto-segmentation deviations by an independent segmentation algorithm
Michaël Claessens, Belgium
PO-1807
Machine learning to predict best clinical plan for left-sided whole breast radiotherapy
Christian Fiandra, Italy
PO-1808
Experimental setup for pre-clinical demonstration of tissue sparing with scanning beam proton FLASH
Per Poulsen, Denmark
PO-1809
Potential clinical benefits of FLASH compared with fractionation in scanned proton therapy
Miriam Krieger, Germany
PO-1810
Multi-modality fusion dosiomics for prediction of survival in nasopharyngeal carcinoma patients
Zhenhui Dai, China
PO-1811
The price of FLASH beyond doubt in stereotactic transmission-beam PT of early-stage lung cancer
Steven Habraken, The Netherlands
PO-1812
On the dose response of SABR treatments of oligometastatic tumours
Antony Carver, United Kingdom
PO-1813
Enhancing a radiomic-based model prediction of patient outcome in locally advanced rectal cancer
Qian Peng, China
PO-1814
Longitudinal radiomic features for prostate on anatomical T2w MRI on 1.5T MR-Linac
Erik van der Bijl, The Netherlands
PO-1815
Sarcopenia in lung cancer - population based analysis of skeletal muscle density
Andrew Green, United Kingdom
PO-1816
Modeling response to SBRT/SRS: do indirect damage and saturation play a role?
Araceli Gago-Arias, Spain
PO-1817
Non-invasive grading of cervix cancer using diffusion weighted imaging
souha aouadi, Qatar
PO-1818
Prediction of rectal cancer tumor response with MRI-based clinical Radiomics Model
Consuelo Rosa, Italy
PO-1819
Intra-mandible radio-sensitivity for osteoradionecrosis: effect of local dose and teeth extractions
Nienke Sijtsema, The Netherlands
PO-1820
Impact of motion compensated reconstruction of 4DCT on radiomic features
Chelsea Sargeant, United Kingdom
PO-1821
Feasibility of spatial normalisation for image-based data mining in breast cancer radiotherapy
Tanwiwat Jaikuna, United Kingdom
PO-1822