Andre Dekker (A.L.A.J.)

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

Smit, Y., Verweij, L., Currie, A., Janssen, J. J. W. M., Posthuma, E. F. M., Dekker, A., Hermens, R. P. M. G., & Blijlevens, N. M. A. (2025). Benefits and Limitations of Real-World Patient-Reported Toxicity Symptom Monitoring for Guidelines and Care, as Perceived by Patients, Clinicians, and Guideline Developers. Cancer Medicine, 14(8), Article e70880. Advance online publication. https://doi.org/10.1002/cam4.70880

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

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/s12883-024-03995-4

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/10.2196/60095

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.2025.104247

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.2024.03.011

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

Kapitan, D., Heddema, F., Dekker, A., Sieswerda, M., Verhoeff, B. J., & Berg, M. (2025). Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards. Journal of Medical Internet Research, 27, Article e66616. https://doi.org/10.2196/66616