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L.Y.L. Wee

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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Daalen, F. V., Henriksen, M. H. B., Hansen, T. F., Jensen, L. H., Brasen, C. L., Hilberg, O., Andersen, M. A. K., Humerfelt, E., Wee, L., & Bermejo, I. (2024). A Bayesian Network Approach to Lung Cancer Screening: Assessing the Impact of Data Quantity, Quality, and the Combination of Data from Danish Electronic Health Records. Cancers, 16(23), Article 3989. https://doi.org/10.3390/cancers16233989
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  • Gottardelli, B., Gouthamchand, V., Masciocchi, C., Boldrini, L., Martino, A., Mazzarella, C., Massaccesi, M., Monshouwer, R., Findhammer, J., Wee, L., Dekker, A., Gambacorta, M. A., & Damiani, A. (2024). A distributed feature selection pipeline for survival analysis using radiomics in non-small cell lung cancer patients. Scientific Reports, 14(1), Article 7814. https://doi.org/10.1038/s41598-024-58241-1
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  • Yu, L., Zhang, Z., Yi, H. Q., Wang, J., Li, J., Wang, X., Bai, H., Ge, H., Zheng, X., Ni, J., Qi, H., Guan, Y., Xu, W., Zhu, Z., Xing, L., Dekker, A., Wee, L., Traverso, A., Ye, Z., & Yuan, Z. (2024). A PET/CT radiomics model for predicting distant metastasis in early-stage non-small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study. Radiation Oncology, 19(1), Article 10. https://doi.org/10.1186/s13014-024-02402-z
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  • van Dijk, D. P. J., Volmer, L. F., Brecheisen, R., Martens, B., Dolan, R. D., Bryce, A. S., Chang, D. K., McMillan, D. C., Stoot, J. H. M. B., West, M. A., Rensen, S. S., Dekker, A., Wee, L., Damink, S. W. M. O., & Body Composition Collaborative (2024). External validation of a deep learning model for automatic segmentation of skeletal muscle and adipose tissue on abdominal CT images. British Journal of Radiology, 97(1164), 2015-2023. https://doi.org/10.1093/bjr/tqae191
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