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ESTRO 2026
Programme
Radiomics, functional and biological...
15 May 2026 - 19 May 2026
Stockholm, Sweden
ESTRO 2026
Session
Sunday
May 17
15:45 - 16:30
Poster Area
Radiomics, functional and biological imaging and outcome prediction
Session Type:
Poster Highlights
Track:
Physics
Journey:
Add to
My Programme
PISA (Pipeline for Interpretable-by-design Survival Analysis): A novel AI pipeline applied to survival prediction in patients with bone metastases
Presenter
:
Thalea Schlender
,
The Netherlands
Presentation Number:
-513
Personalizing liver radiotherapy therapy through machine learning-based hypertrophy prediction models
Presenter
:
Kristy Brock
,
USA
Presentation Number:
-3026
Assessing Transferability of Photon-derived NTCP Models in Predicting Radiation-Induced Optic Neuropathy After Proton Therapy
Presenter
:
Juliette Thariat
,
France
Presentation Number:
-3042
MRI-based radiomic and clinical nomograms for personalized risk prediction in locally advanced cervical cancer treated with VMAT and MR-IGABT
Presenter
:
Wiwatchai Sittiwong
,
Thailand
Presentation Number:
-3139
Daily MR-linac ADC measurements enable patient-specific uncertainty estimation of ADC changes during chemoradiation in esophageal cancer
Presenter
:
Koen Kuijer
,
The Netherlands
Presentation Number:
-3351
Morphometric Analysis of Black Bone MRI: A Tool for Detection and Monitoring of Osteoradionecrosis Following Head and Neck Cancer Treatment
Presenter
:
Natalie West
,
USA
Presentation Number:
-3408
Predicting high-grade glioma response: Comparing 1D, 2D, and 3D neural networks with a mechanistic model using a novel data assimilation pipeline.
Presenter
:
Hugo Miniere
,
USA
Presentation Number:
-3505
A framework for modelling typical brain development as a baseline for post-treatment changes in children and young adults
Presenter
:
Iolyn Chennell
,
United Kingdom
Presentation Number:
-3508
An MRI-based radiomic biomarker of radiosensitivity for individualized radiotherapy dose prescription in cervical cancer
Presenter
:
Kohei Oguma
,
Japan
Presentation Number:
-3567
Can we use simulated contours to assess the reproducibility of radiomic features to interobserver contour variation?
Presenter
:
Lois Holloway
,
Australia
Presentation Number:
-3604
Internal validation of a diffusion-MRI-based survival prediction model in pancreatic cancer: Results from a large validation cohort
Presenter
:
Anne Bisgaard
,
Denmark
Presentation Number:
-3774
Is dose to large thoracic vessels a predictor of fatal bleeding after SBRT of central lung tumours? – An analysis of the expanded HILUS-cohort
Presenter
:
Kristin Karlsson
,
Sweden
Presentation Number:
-1164
Multicentre validation confirms the superiority of advanced perfusion biomarkers over rCBV for relapse prediction in high-grade glioma
Presenter
:
Camilla Satragno
,
France
Presentation Number:
-3975
Deep Learning scaling law in radiotherapy: outcome prediction performance vs dataset size
Presenter
:
Miguel Garrett Fernandes
,
United Kingdom
Presentation Number:
-4000
Multi-sequence MRI-radiomics for non-invasive differentiation of tumour progression and radionecrosis in radiosurgery patients
Presenter
:
Michael Maddalena
,
Canada
Presentation Number:
-4438
Limitations of CT-based radiomics when validated externally: Models trained on prostate cancer patients from 2 centres (N = 1298) for BCR prediction
Presenter
:
Peter McHale
,
United Kingdom
Presentation Number:
-4523
Contrast enhanced CBCT capabilities of Halcyon with HyperSight: moving towards functional CBCT
Presenter
:
Riley McMaster
,
Canada
Presentation Number:
-4621
Malignancy prediction through CT foundation model for lung lesions without pathologic confirmation
Presenter
:
Arturo Navarro-Martin
,
Spain
Presentation Number:
-4744
Ensuring reliability of DW-MRI biomarkers : repeatability and reproducibility in pelvic organs on a 1.5 T MR-Linac
Presenter
:
Madeline Michel
,
Belgium
Presentation Number:
-5127
Rethinking radionecrosis risk with a tissue-based dose–volume perspective beyond V12Gy
Presenter
:
Szabolcs David
,
The Netherlands
Presentation Number:
-1173
Integrating Clinical, Radiomics, and Deep Learning Features for 12-Month Overall Survival Prediction in NSCLC Patients Treated with Radiotherapy
Presenter
:
Jikai Zhou
,
The Netherlands
Presentation Number:
-1930
Development and Preliminary Evaluation of a Dosiomic Classifier for Early PSA Decay Kinetics after CyberKnife SBRT in Prostate Cancer
Presenter
:
Rocco Mottareale
,
Italy
Presentation Number:
-2151
Proof of concept: synthetic FDG-PET generation from standard CT imaging for patients with head and neck cancer
Presenter
:
Maksym Fritsak
,
Switzerland
Presentation Number:
-2760
Microstructural Parameters from Diffusion-Weighted MRI via Machine Learning and realistic in silico cellular models for Breast and Prostate Cancer
Presenter
:
Chiara Tinelli
,
Italy
Presentation Number:
-2770
Radiomics and 4DCT phase analysis for predicting post-SBRT liver outcomes: a retrospective cohort study
Presenter
:
Vitali Moiseenko
,
USA
Presentation Number:
-2911
Diffusion-MRI hypoxia mapping with distortion correction in head and neck cancer radiotherapy
Presenter
:
Minoo Gandomi
,
Sweden
Presentation Number:
-3021
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