L.Y.L. Wee

Li, W., Pan, X., Zhang, Z., Wu, G., Ye, G., Wee, L., Dekker, A., Han, C., Shi, L., Liu, Z., Liu, Z., & Shi, Z. (2025). Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. Biomedical Signal Processing and Control, 107, Article 107793. https://doi.org/10.1016/j.bspc.2025.107793

Liu, Z., Li, W., Cui, Y., Chen, X., Pan, X., Ye, G., Wu, G., Liao, Y., Volmer, L., Wee, L., Dekker, A., Han, C., Liu, Z., & Shi, Z. (2025). Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. Expert Systems with Applications, 269, Article 126364. https://doi.org/10.1016/j.eswa.2024.126364

Zhang, Z., Luo, T., Yan, M., Shen, H., Tao, K., Zeng, J., Yuan, J., Fang, M., Zheng, J., Bermejo, I., Dekker, A., Ruysscher, D. D., Wee, L., Zhang, W., Jiang, Y., & Ji, Y. (2025). Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy. Journal for ImmunoTherapy of Cancer, 13(3), Article e011149. https://doi.org/10.1136/jitc-2024-011149

Kosir, U., Lysen, F., Unterecker, N., Dezelak, T., Sturesson, E., Shakhnenko, I., Stark, D., Rizvi, K., Darlington, A. ., Wee, L., van der Graaf, W. T. A., & Husson, O. (2025). Adolescent and young adult (AYA) patient involvement and engagement in European health care and research projects: expanding the scope of patient advocacy. ESMO Open, 10(3), Article 104478. Advance online publication. https://doi.org/10.1016/j.esmoop.2025.104478

Henriksen, M. B., Van Daalen, F., Wee, L., Hansen, T. F., Jensen, L. H., Brasen, C. L., Hilberg, O., & Bermejo, I. (2025). Lung Cancer Detection Using Bayesian Networks: A Retrospective Development and Validation Study on a Danish Population of High-Risk Individuals. Cancer Medicine, 14(3), Article e70458. https://doi.org/10.1002/cam4.70458

Aberle, M. R., Coolsen, M. M. E., Wenmaekers, G., Volmer, L., Brecheisen, R., van Dijk, D., Wee, L., Van Dam, R. M., de Vos-Geelen, J., Rensen, S. S., & Damink, S. W. M. O. (2025). Skeletal muscle is independently associated with grade 3-4 toxicity in advanced stage pancreatic ductal adenocarcinoma patients receiving chemotherapy. Clinical Nutrition ESPEN, 65, 134-143. https://doi.org/10.1016/j.clnesp.2024.11.004

Choudhury, A., Volmer, L., Martin, F., Fijten, R., Wee, L., Dekker, A., & van Soest, J. (2025). Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study. JMIR AI, 4, Article e60847. https://doi.org/10.2196/60847

Yan, M., Zhang, Z., Tian, J., Yu, J., Dekker, A., De Ruysscher, D., Wee, L., & Zhao, L. (2025). Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapy. Radiation Oncology, 20(1), Article 9. Advance online publication. https://doi.org/10.1186/s13014-025-02583-1

Chen, X., Huang, Y., Wee, L., Zhao, K., Mao, Y., Li, Z., Yao, S., Li, S., Liang, Y., Huang, X., Dekker, A., Chen, X., & Liu, Z. (2024). Integrated analysis of radiomics, RNA, and clinicopathologic phenotype reveals biological basis of prognostic risk stratification in colorectal cancer. Science Bulletin, 69(23), 3666-3671. https://doi.org/10.1016/j.scib.2024.10.005

Hogenboom, J., Lobo Gomes, A., Dekker, A., Van Der Graaf, W., Husson, O., & Wee, L. (2024). Actionability of Synthetic Data in a Heterogeneous and Rare Health Care Demographic: Adolescents and Young Adults With Cancer. JCO Clinical Cancer Informatics, 8, Article e2400056. https://doi.org/10.1200/CCI.24.00056