Andre Dekker (A.L.A.J.)
Recent publications
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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.2025.107793More information about this publication
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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.2024.126364More information about this publication
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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-2024-011149More information about this publication
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Oomens, J. E., Moonen, J. E. F., Vos, S. J. B., Beran, M., Mateus, P., De Deyn, P. P., van der Flier, W. M., Geerlings, M. I., Huisman, M. A., Ikram, M. A., Schram, M. T., Slagboom, P. E., Verschuren, W. M. M., Beekman, M., Bermejo, I., Birhanu, M., Bron, E. E., Dekker, A., Frentz, I., ... Visser, P. J. (2025). Identifying pathways to the prevention of dementia: the Netherlands consortium of dementia cohorts. BMC Neurology, 25(1), Article 59. https://doi.org/10.1186/s12883-024-03995-4More information about this publication
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Puts, S., Zegers, C. M. L., Dekker, A., & Bermejo, I. (2025). Developing an ICD-10 Coding Assistant: Pilot Study Using RoBERTa and GPT-4 for Term Extraction and Description-Based Code Selection. JMIR Formative Research, 9, Article e60095. https://doi.org/10.2196/60095More information about this publication
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Rattay, T., Verhoeven, K., Bergeaud, M., Bologna, G., Cortellessa, G., Dekker, A., Fracasso, F., Joore, M., Koutsopoulos, I., Liang, Y., Panisson, A., Perotti, A., Ramaekers, B., Roumen, C., van Soest, J., Stobart, H., Talbot, C. J., Webb, A. J., Rivera, S., & PRE-ACT Study Consortium (2025). PRE-ACT-01: The Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification-01 Trial. Breast, 80, Article 104247. https://doi.org/10.1016/j.breast.2025.104247More information about this publication
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Price, G., Peek, N., Eleftheriou, I., Spencer, K., Paley, L., Hogenboom, J., van Soest, J., Dekker, A., van Herk, M., & Faivre-Finn, C. (2025). An Overview of Real-World Data Infrastructure for Cancer Research. Clinical Oncology, 38, Article 103545. https://doi.org/10.1016/j.clon.2024.03.011More information about this publication
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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/10.2196/60847More information about this publication
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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/s13014-025-02583-1More information about this publication
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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.2024.10.005More information about this publication