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

Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach

Chu, H., De la O Arévalo, L. R., Tang, W., Ma, B., Li, Y., De Biase, A., Both, S., Langendijk, J. A., van Ooijen, P., Sijtsema, N. M. & van Dijk, L. V., 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. 114-120 7 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

Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer

Ma, B., Guo, J., De Biase, A., Sourlos, N., Tang, W., van Ooijen, P., Both, S. & Sijtsema, N. M., 2022, Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Andrearczyk, V., Oreiller, V., Hatt, M. & Depeursinge, A. (redactie). Springer Science and Business Media Deutschland GmbH, blz. 308-317 10 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13209 LNCS).

Onderzoeksoutput › Academic › peer review

Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images

De Biase, A., Tang, W., Sourlos, N., Ma, B., Guo, J., Sijtsema, N. M. & van Ooijen, P., 2022, Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Andrearczyk, V., Oreiller, V., Hatt, M. & Depeursinge, A. (redactie). Springer Science and Business Media Deutschland GmbH, blz. 109-120 12 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13209 LNCS).

Onderzoeksoutput › Academic › peer review