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founded in 1614  -  top 100 university
About us Practical matters How to find us dr. ir. N.M. (Marianna) Sijtsema

Research interests

Radiotherapy, Adaptive Radiotherapy (ART), Image Biomarkers, Radiomics, Adaptive Proton Therapy

Publications

A multi-toxicity deep learning approach for normal tissue complication probability modelling in head and neck cancer patients receiving radiotherapy

An evaluation of uncertainty quantification methods and measures for deep learning outcome prediction models in head and neck cancer radiotherapy

Dosimetric comparison of the shoulder region between paired photon and proton plans in breast cancer patients

In response to Liu et al

Prediction of treatment outcome in nasopharyngeal carcinoma patients

2019 Integrating CT image features improves clinical prediction models for outcome in nasopharyngeal carcinoma patients treated with (chemo)radiation

2480 Towards a multi-toxicity NTCP modelling approach for head and neck cancer

"AI tumor delineation for all breathing phases in early-stage NSCLC"

Association between dose to cardiac structures and overall survival: A multivariable analysis in a large, multi-institutional database of stage III NSCLC patients with external validation

Deep learning-based prediction of radiation pneumonitis in advanced stage lung cancer using average 4D CT, 3D dose, and lung segmentations