Research output per year
Research output per year
Personal profile
Research interests
Radiotherapy, Adaptive Radiotherapy (ART), Image Biomarkers, Radiomics, Adaptive Proton Therapy
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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, 5Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
Head and neck cancer predictive risk estimator to determine control and therapeutic outcomes of radiotherapy (HNC-PREDICTOR): development, international multi-institutional validation, and web implementation of clinic-ready model-based risk stratification for head and neck cancer
van Dijk, L. V., Mohamed, A. SR., Ahmed, S., Nipu, N., Marai, G. E., Wahid, K., Sijtsema, N. M., Gunn, B., Garden, A. S., Moreno, A., Hope, A. J., Langendijk, J. A. & Fuller, C. D., Jan-2023, In: European Journal of Cancer. 178, p. 150-161 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning
Zheng, S., Guo, J., Langendijk, J. A., Both, S., N J Veldhuis, R., Oudkerk, M., van Ooijen, P. M. A., Wijsman, R. & Sijtsema, N. M., Mar-2023, In: Radiotherapy and Oncology. 180, 18 p., 109483.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile14 Downloads (Pure) -
Validation of the 18F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy
Li, Y., Sijtsema, N. M., de Vette, S. P. M., Steenbakkers, R. J. H. M., Zhang, F., Noordzij, W., Van den Bosch, L., Langendijk, J. A. & van Dijk, L. V., Mar-2023, In: Radiotherapy and Oncology. 180, 109458.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Downloads (Pure) -
Big data prediction models to select head and neck patients for personalized dose prescription
van Dijk, L. V., Ahmed, S., Mohammed, A. S. R., Wahid, K., Sijtsema, N. M., Gunn, B., Garden, A. S., Langendijk, J. A. & Fuller, C. D., May-2022, In: Radiotherapy and Oncology. 170, p. S668-S670 3 p.Research output: Contribution to journal › Meeting Abstract › Academic
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Pre- treatment radiomics predict LN failure of H&N Cancer patients after RTx.
Nanna Maria (Marianna) Sijtsema (Speaker)
14-Oct-2019Activity: Talk and presentation › Academic presentation › Academic
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Image biomarkers for improved prediction of normal tissue complication probability and tumor control.
Nanna Maria (Marianna) Sijtsema (Speaker)
24-May-2019Activity: Talk and presentation › Professional or public presentation › Professional
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Image biomarkers to improve prediction of treatment outcome in radiotherapy.
Nanna Maria (Marianna) Sijtsema (Speaker)
9-Oct-2018Activity: Talk and presentation › Professional or public presentation › Professional
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Protonentherapie in Groningen en het ProTRAIT project.
Nanna Maria (Marianna) Sijtsema (Speaker)
1-Nov-2018Activity: Talk and presentation › Professional or public presentation › Popular
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NTCP-model enrichment using radiomics. Opening Symposium Proton Therapy.
Nanna Maria (Marianna) Sijtsema (Speaker)
6-Jun-2018Activity: Talk and presentation › Professional or public presentation › Professional
Prizes
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Selected to be designated as a 2020 Best of ASTRO abstract
Spoor, Daan (Recipient), van Leeuwen, F E (Recipient), Russell, N (Recipient), Boekel, N. (Recipient), Jacob, S (Recipient), Combs, S (Recipient), Borm, K (Recipient), Vliegenthart, Rozemarijn (Recipient), Sikkema, Gert (Recipient), van den Bogaard, Veerle (Recipient), Sijtsema, Nanna Maria (Marianna) (Recipient), Maduro, John (Recipient), Schuit, Ewoud (Recipient), Langendijk, Johannes Albertus (Recipient) & Crijns, Anne (Recipient), 2020
Prize › Academic