L.Y.L. Wee

Ye, G., Wei, Z., Han, C., Wu, G., Wong, C., Liang, Y., Chen, X., Zhou, W., Gao, J., Liang, C., Liao, Y., Hendriks, L. E. L., Wee, L., De Ruysscher, D., Dekker, A., Zhou, H., Qi, Y., Liu, Z., & Shi, Z. (2025). AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study. EClinicalMedicine, 89, Article 103551. https://doi.org/10.1016/j.eclinm.2025.103551

Cao, Q., Jiang, Z., Wang, Z., Wee, L., Dekker, A., Zhang, Z., & Zhu, J. (2025). Minimum sample size calculation for radiomics-based binary outcome prediction models: Theoretical framework and practical example. Radiotherapy and Oncology, 212, Article 111134. https://doi.org/10.1016/j.radonc.2025.111134

Ackermans, LL. G. C., Stokroos, JC., Van Dijk, DP. J., Winkens, B., Poeze, M., Wee, L., Brecheisen, R., Olde Damink, SM. W., Ten Bosch, JA., & Blokhuis, TJ. (2025). Subcutaneous Adipose Tissue Radiation Attenuation Is Associated With Increased 1-Year Mortality in Polytrauma Patients. Journal of cachexia, sarcopenia and muscle, 16(5), Article e13743. https://doi.org/10.1002/jcsm.13743

Huang, Y. Q., Chen, X. B., Cui, Y. F., Yang, F., Huang, S. X., Li, Z. H., Ying, Y. J., Li, S. Y., Li, M. H., Gao, P., Wu, Z. Q., Wen, G., Wang, Z. S., Wang, H. X., Hong, M. P., Diao, W. J., Chen, X. Y., Hou, K. Q., Zhang, R., ... Liu, Z. Y. (2025). Enhanced risk stratification for stage II colorectal cancer using deep learning-based CT classifier and pathological markers to optimize adjuvant therapy decision. Annals of Oncology, 36(10), 1178-1189. https://doi.org/10.1016/j.annonc.2025.05.537

Gu, Q., Chen, S., Dekker, A., Wee, L., Kalendralis, P., Yan, M., Wang, J., Yuan, J., & Jiang, Y. (2025). Variational autoencoder-based deep learning and radiomics for predicting pathologic complete response to neoadjuvant chemoimmunotherapy in locally advanced esophageal squamous cell carcinoma. British Journal of Radiology. Advance online publication. https://doi.org/10.1093/bjr/tqaf239

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

van Daalen, F., Brecheisen, R., Wee, L., Dekker, A., & Bermejo, I. (2025). Multinomial Classification Certainty: a new uncertainty metric for multinomial outcome prediction. Progress in Artificial Intelligence. Advance online publication. https://doi.org/10.1007/s13748-025-00404-w

Sasidharan, B. K., Sidhique, S. K., Wilson, J. V., Mathew, M., Tirkey, A. J., Singh, A., Sundararaj, J. J., T, H. M. T., B, S., Kuchipudi, B. R., Sunny, J., Joel, A., Jacob, A., Vidya, K., Agarwal, M., Irodi, A., Riju, J., R, N., Michael, R., ... Pavamani, S. P. (2025). Pragmatic patient choice-driven radical treatment approach (PRAGRAD) for very advanced Unresectable Oral Cavity Cancers. International Journal of Radiation Oncology Biology Physics. Advance online publication. https://doi.org/10.1016/j.ijrobp.2025.05.088

van Soest, J., Sanchez Gomez, L., Wee, L., & Dekker, A. (2025). A Governance Framework for Federated Learning Projects in Healthcare. Studies in Health Technology and Informatics, 327, 258-262. https://doi.org/10.3233/SHTI250324

Hogenboom, J., Lobo Gomes, A., Dekker, A., van der Graaf, W., Husson, O., & Wee, L. (2025). From Federated Learning to Publicly Facing Platform; Proof-of-Concept of the STRONG AYA Information Portal. Studies in Health Technology and Informatics, 327, 591-592. https://doi.org/10.3233/SHTI250407