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Rijksuniversiteit Groningenfounded in 1614  -  top 100 university
Over ons Praktische zaken Waar vindt u ons dr. ir. N.M. (Marianna) Sijtsema

Research interests

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

Publicaties

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

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

Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations

Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations