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Over ons Praktische zaken Waar vindt u ons dr. ir. N.M. (Marianna) Sijtsema

University Medical Center Groningen

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

Klinisch Fysicus

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

Faculteit Medische Wetenschappen/UMCG

Telefoon:

Secretariaat:

E-mail:

n.m.sijtsema umcg.nl

ORCID Research Portal

Research interests

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

Publicaties

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., mei-2025, In: Radiotherapy and Oncology. 206, 9 blz., 110821.

Onderzoeksoutput › › peer review

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 blz., 107224.

Onderzoeksoutput › › 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. (uitgave). Springer, blz. 179-190 12 blz. (Lecture Notes in Computer Science; vol. 15273 LNCS).

Onderzoeksoutput › › 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 blz., 110746.

Onderzoeksoutput › › 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 blz., 110852.

Onderzoeksoutput › › 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 blz., 100733.

Onderzoeksoutput › › 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, blz. 269-280 12 blz.

Onderzoeksoutput › › 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 blz., 102535.

Onderzoeksoutput › › 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 blz., 3944.

Onderzoeksoutput › › peer review

Can breast surface imaging predict the need for photon or proton treatment plan adaptations?

Hamming, V., Strbac, B., Marmitt, G. G., Cannavo, D., Maduro, J., Langendijk, J., Sijtsema, M. & Both, S., 2024, blz. 100283. 1 blz.

Onderzoeksoutput ›

Alle (148) publicaties

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