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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

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

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer

De Biase, A., Ma, B., Guo, J., van Dijk, L. V., Langendijk, J. A., Both, S., van Ooijen, P. M. A. & Sijtsema, N. M., feb.-2024, In: Computer Methods and Programs in Biomedicine. 244, 10 blz., 107939.

Onderzoeksoutput › › peer review

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Kocak, B., Akinci D'Antonoli, T., Mercaldo, N., Alberich-Bayarri, A., Baessler, B., Ambrosini, I., Andreychenko, A. E., Bakas, S., Beets-Tan, R. G. H., Bressem, K., Buvat, I., Cannella, R., Cappellini, L. A., Cavallo, A. U., Chepelev, L. L., Chu, L. C. H., Demircioglu, A., deSouza, N. M., Dietzel, M., Fanni, S. C., & 40 anderenFedorov, A., Fournier, L. S., Giannini, V., Girometti, R., Groot Lipman, K. B. W., Kalarakis, G., Kelly, B. S., Klontzas, M. E., Koh, D-M., Kotter, E., Lee, H. Y., Maas, M., Marti-Bonmati, L., Müller, H., Obuchowski, N., Orlhac, F., Papanikolaou, N., Petrash, E., Pfaehler, E., Pinto Dos Santos, D., Ponsiglione, A., Sabater, S., Sardanelli, F., Seeböck, P., Sijtsema, N. M., Stanzione, A., Traverso, A., Ugga, L., Vallières, M., van Dijk, L. V., van Griethuysen, J. J. M., van Hamersvelt, R. W., van Ooijen, P., Vernuccio, F., Wang, A., Williams, S., Witowski, J., Zhang, Z., Zwanenburg, A. & Cuocolo, R., 17-jan.-2024, (E-pub ahead of print) In: Insights into Imaging. 15, 1, 18 blz., 8.

Onderzoeksoutput › › peer review

Proton and photon radiotherapy in stage III NSCLC: Effects on hematological toxicity and adjuvant immune therapy

Cortiula, F., Hendriks, L. E. L., Wijsman, R., Houben, R., Steens, M., Debakker, S., Canters, R., Trovò, M., Sijtsema, N. M., Niezink, A. G. H., Unipan, M., Urban, S., Michelotti, A., Dursun, S., Bootsma, G., Hattu, D., Nuyttens, J. J., Moretti, E., Taasti, V. T. & De Ruysscher, D., jan.-2024, In: Radiotherapy and Oncology. 190, 8 blz., 110019.

Onderzoeksoutput › › peer review

A comparison of cardiovascular and pulmonary morbidities and risk factors in breast cancer survivors compared to an age-matched female control group in the Lifelines prospective population cohort

Spoor, D. S., van den Bogaard, V. A. B., Sijtsema, N. M., Van der Meer, P., de Bock, G. H., Langendijk, J. A., Maduro, J. H. & Crijns, A. P. G., aug.-2023, In: Breast. 70, blz. 49-55 7 blz.

Onderzoeksoutput › › peer review

Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer

Ma, B., Guo, J., Chu, H., van Dijk, L. V., van Ooijen, P. M. A., Langendijk, J. A., Both, S. & Sijtsema, N. M., okt.-2023, In: Physics and imaging in radiation oncology. 28, 8 blz., 100502.

Onderzoeksoutput › › peer review

CT-based deep multi-label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma

Ma, B., Guo, J., Zhai, T. T., van der Schaaf, A., Steenbakkers, R. J. H. M., van Dijk, L. V., Both, S., Langendijk, J. A., Zhang, W., Qiu, B., van Ooijen, P. M. A. & Sijtsema, N. M., okt.-2023, In: Medical Physics. 50, 10, blz. 6190-6200 11 blz.

Onderzoeksoutput › › peer review

Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images

De Biase, A., Sijtsema, N. M., van Dijk, L., Langendijk, J. A. & van Ooijen, P. M. A., 2023, In: Physics in Medicine and Biology. 68, 5

Onderzoeksoutput › › peer review

Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients

Ma, B., Li, Y., Chu, H., Tang, W., De la O Arévalo, L. R., Guo, J., van Ooijen, P., Both, S., Langendijk, J. A., van Dijk, L. V. & Sijtsema, N. M., 18-mrt.-2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (redactie). Springer Science and Business Media Deutschland GmbH, blz. 240-254 15 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).

Onderzoeksoutput › › peer review

Editorial: Application of radiomics in understanding tumor biological behaviors and treatment response

Xiao, N., Pei, Z., Lu, W., Fang, R., Jin, Y., Zhou, G., Meng, X., Ng, S. P., Xing, L., Liao, Z., Sijtsema, N. M. & Yang, P., 2023, In: Frontiers in Oncology. 13, 3 blz., 1257447.

Onderzoeksoutput: Editorial › › peer review

Alle (125) publicaties

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