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

van Daalen, F., Jacquemin, M., van Soest, J., Stahl, N., Townend, D., Dekker, A., & Bermejo, I. (2025). A critique of current approaches to privacy in machine learning. Ethics and Information Technology, 27(3), Article 32. https://doi.org/10.1007/s10676-025-09843-4

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

Geraeds, C. B. G., Bruninx, A., Dekker, A. L. A. J., Barandiaran Aizpurua, A., Bermejo, I., & Brunner-La Rocca, H.-P. (2025). Exploring safety of down-titrating diuretics in heart failure management. European journal of heart failure. Advance online publication. https://doi.org/10.1002/ejhf.3714

Bontempi, D., Zalay, O., Bitterman, D. S., Birkbak, N., Shyr, D., Haugg, F., Qian, J. M., Roberts, H., Perni, S., Prudente, V., Pai, S., Dekker, A., Haibe-Kains, B., Guthier, C., Balboni, T., Warren, L., Krishan, M., Kann, B. H., Swanton, C., ... Aerts, H. J. W. L. (2025). FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study. The Lancet Digital Health, 7(6), Article 100870. https://doi.org/10.1016/j.landig.2025.03.002

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

Akhmad, E., Slob, D., Lobo Gomes, A., Dekker, A., & van Soest, J. (2025). What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results. Studies in Health Technology and Informatics, 327, 390-391. https://doi.org/10.3233/SHTI250351

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