Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
-
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: Article › Academic › peer review
Open AccessBestand3 Downloads (Pure) -
Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy
Reber, B., Van Dijk, L., Anderson, B., Mohamed, A. S. R., Fuller, C., Lai, S. & Brock, K., 1-jul.-2023, In: Advances in radiation oncology. 8, 4, 9 blz., 101163.Onderzoeksoutput: Article › Academic › peer review
Open AccessBestand1 Citaat (Scopus)11 Downloads (Pure) -
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: Article › Academic › peer review
Open AccessBestand1 Citaat (Scopus)19 Downloads (Pure) -
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, 5Onderzoeksoutput: Article › Academic › peer review
Open AccessBestand2 Citaten (Scopus)23 Downloads (Pure) -
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 › Academic › peer review
Open AccessBestand1 Citaat (Scopus)11 Downloads (Pure)
Activiteiten
-
Educational Lecture
Sanne van Dijk (Speaker)
1-mei-2023Activiteit: Professional or public presentation › Professional
-
Teacher and coordinator for course Therapeutic Techniques at UTwente
Sanne van Dijk (Lecturer)
2-nov.-2022 → 3-feb.-2023Activiteit: Examination, teaching and supervision external institution › Academic
-
Radiation oncology (Tijdschrift)
Sanne van Dijk (Peer reviewer)
2022 → …Activiteit: Peer-review › Academic
-
Application of artificial intelligence to improve patient selection, toxicity prediction, and improvement of radiation treatment.
Sanne van Dijk (Invited speaker)
6-okt.-2022Activiteit: Professional or public presentation › Professional
-
Teacher for the Biomedical Engineering RUG students
Sanne van Dijk (Lecturer)
1-jan.-2022 → 31-dec.-2022Activiteit: Examination, teaching and supervision external institution › Academic
Prijzen
-
Introduction to Academic Radiology for Scientists (ITARSc)
van Dijk, Lisanne (Recipient), 2019
Prijs: Prize › Academic
-
-
-