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About us Practical matters How to find us dr. ir. N.M. (Marianna) Sijtsema
University Medical Center Groningen

dr. ir. N.M. (Marianna) Sijtsema

Medical Physicist
Profile picture of dr. ir. N.M. (Marianna) Sijtsema
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n.m.sijtsema umcg.nl
Research interests Publications

Research interests

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

Publications

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

Garrett Fernandes, M., Bussink, J., Wijsman, R., Gouw, Z., Weiß, A., Sijtsema, N. M., Canters, R., Hope, A., De Ruysscher, D., Troost, E. G. C., Sonke, J. J., Stam, B. & Monshouwer, R., May-2025, In: Radiotherapy and Oncology. 206, 9 p., 110821.

Research output: Contribution to journal › Article › Academic › peer-review

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

de Vette, S. P. M., Neh, H., van der Hoek, L., MacRae, D. C., Chu, H., Gawryszuk, A., Steenbakkers, R. J. H. M., van Ooijen, P. M. A., Fuller, C. D., Hutcheson, K. A., Langendijk, J. A., Sijtsema, N. M. & van Dijk, L. V., 20-Jun-2025, MedRxiv.

Research output: Working paper › Preprint › Academic

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

de Vette, S. P. M., van Rijn-Dekker, M. I., Van den Bosch, L., Keijzer, K., Neh, H., Chu, H., Li, Y., Frederiks, M. L., van der Laan, H. P., Heukelom, J., van Luijk, P., van der Schaaf, A., Steenbakkers, R. J. H. M., Sijtsema, N. M., Hutcheson, K. A., Fuller, C. D., Langendijk, J. A., Moreno, A. C. & van Dijk, L. V., Apr-2025, In: Oral Oncology. 163, 11 p., 107224.

Research output: Contribution to journal › Article › Academic › peer-review

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

Mol, F. N., Hoek, L. V. D., Ma, B., Nagam, B. C., Sijtsema, N. M., van Dijk, L. V., Bunte, K., Vlijm, R. & Van Ooijen, P. M. A., 2025, Head and Neck Tumor Segmentation for MR-Guided Applications - 1st MICCAI Challenge, HNTS-MRG2024 Held in Conjunction with MICCAI 2024. Wahid, K. A., Naser, M. A., Dede, C. & Fuller, C. D. (eds.). Springer, p. 179-190 12 p. (Lecture Notes in Computer Science; vol. 15273 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

Neh, H., de Vette, S. P. M., Stoffers, R. H., Zhou, G., van Ooijen, P. M. A., Sijtsema, N. M., Brouwer, C. L., Langendijk, J. A. & van Dijk, L. V., Apr-2025, In: Radiotherapy and Oncology. 205, 7 p., 110746.

Research output: Contribution to journal › Article › Academic › peer-review

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

Ma, B., Guo, J., van Dijk, L. V., Langendijk, J. A., Ooijen, P. M. A. V., Both, S. & Sijtsema, N. M., Jun-2025, In: Radiotherapy and Oncology. 207, 7 p., 110852.

Research output: Contribution to journal › Article › Academic › peer-review

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

Ma, B., De Biase, A., Guo, J., van Dijk, L. V., Langendijk, J. A., Both, S., van Ooijen, P. M. A. & Sijtsema, N. M., Jan-2025, In: Physics and imaging in radiation oncology. 33, 8 p., 100733.

Research output: Contribution to journal › Article › Academic › peer-review

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

Chu, H., de Vette, S. P. M., Neh, H., Sijtsema, N. M., Steenbakkers, R. J. H. M., Moreno, A., Langendijk, J. A., van Ooijen, P. M. A., Fuller, C. D. & van Dijk, L. V., 1-Jan-2025, In: International Journal of Radiation Oncology, Biology, Physics. 121, 1, p. 269-280 12 p.

Research output: Contribution to journal › Article › Academic › peer-review

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort

De Biase, A., Sijtsema, N. M., van Dijk, L. V., Steenbakkers, R., Langendijk, J. A. & van Ooijen, P., Jul-2025, In: Computerized medical imaging and graphics. 123, 10 p., 102535.

Research output: Contribution to journal › Article › Academic › peer-review

A comparative study of federated learning methods for COVID-19 detection

Darzi, E., Sijtsema, N. M. & van Ooijen, P. M. A., 16-Feb-2024, In: Scientific Reports. 14, 11 p., 3944.

Research output: Contribution to journal › Article › Academic › peer-review

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