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breed in kennis  -  sterk in techniek
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

1253 Improved outcome prediction in nasopharyngeal carcinoma using pre-treatment MRI radiomics

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

Integrating computed tomography image features improves clinical prediction models for outcomes in nasopharyngeal carcinoma patients treated with (chemo)radiation

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"

Sustainable Development Goals

SDG 3 – Goede gezondheid en welzijn

Meer informatie over de Sustainable Development Goals.