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Rijksuniversiteit Groningenfounded 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

Publicaties

"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 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

Evaluation of a comprehensive set of normal tissue complication probability models for patients with head and neck cancer in an international cohort

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble

Normal tissue complication probability model predicting taste impairment in head and neck cancer patients: Evaluating the taste bud bearing tongue mucosa as a predictor

PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer

Surface imaging to evaluate the dosimetric impact of breast deformations in proton and photon therapy for breast cancer

The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients