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) -
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 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) -
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., 22-nov.-2023, (E-pub ahead of print) In: Computer Methods and Programs in Biomedicine. 10 blz., 107939.Onderzoeksoutput: Article › Academic › peer review
Open AccessBestand2 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., mrt.-2023, In: Radiotherapy and Oncology. 180, 18 blz., 109483.Onderzoeksoutput: Article › Academic › peer review
Open AccessBestand1 Citaat (Scopus)24 Downloads (Pure)
Activiteiten
- 1 Academic presentation
-
ESTI/ESCR Annual Meeting
Yeshaswini Nagaraj (Speaker), Daan Oever, van den (Contributor), Jiapan Guo (Contributor), Matthijs Oudkerk (Contributor) & Peter Ooijen, van (Contributor)
24-mei-2018 → 26-mei-2018Activiteit: Academic presentation › Academic
Datasets
-
UserratedPatch2021
Shi, C. (Contributor), Meijer, J. (Contributor), Azzopardi, G. (Contributor), Diercks, G. (Contributor), Guo, J. (Contributor) & Petkov, N. (Contributor), University of Groningen, 31-mei-2021
DOI: 10.34894/zjtlbb
Dataset
-
Labelled Dataset of Retinal Images for Glaucoma detection
Guo, J. (Contributor), Azzopardi, G. (Contributor), Shi, C. (Contributor), Jansonius, N. (Contributor) & Petkov, N. (Contributor), University of Groningen, 1-sep.-2021
DOI: 10.34894/h2szso
Dataset