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Vienna, Austria

ESTRO 2023

Session

Saturday
May 13
10:30 - 11:30
Business Suite 3-4
Radiomics and modelling
Tiziana Rancati, Italy
Poster Discussions are presented in one of the sessions scheduled at the two poster discussion theatres. Each author will present a digital poster orally for 2 minutes, followed by 2 minutes for discussion. Sessions will not be recorded.
1310
Poster Discussion
Physics
combining tumor and whole-lung radiomics features to predict prognosis in locally advanced NSCLC
Zhen Zhang, The Netherlands
PD-0163
The value of post Radiotherapy PSA dynamics for prostate cancer risk stratification models
Jane Shortall, United Kingdom
PD-0164
Combining patient and population rectal shapes for re-irradiation of recurring prostate cancer
Sara Pilskog, Norway
PD-0165
Predicted tumour probability maps improve deep learning outcome prediction in oropharyngeal cancer
Baoqiang Ma, The Netherlands
PD-0167
Impact of tumor nuclei size variation for post radiotherapy recurrence outcome of GYN patients
Yujing Zou, Canada
PD-0168
An innovative and versatile deep learning approach to estimate the out-of-field dose.
Nathan Benzazon, France
PD-0169
Comparing ML performances of toxicity predictive models on a large cohort of breast cancer patients
Maria Giulia Ubeira Gabellini, Italy
PD-0170
Survival prognostication in esophageal cancer using deep learning based segmentation features
Leroy Volmer, The Netherlands
PD-0171
NTCP model prediction considering RBE variability in proton therapy of primary brain tumors
Fabian Hennings, Germany
PD-0172
Radiomics-based prediction of local control of brain metastases after resection and radiotherapy
Josef A. Buchner, Germany
PD-0174