Andre Dekker (A.L.A.J.)
Recent publications
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Yu, L., Chen, S., Li, J., Yi, H. Q., Wang, J., Ni, J., Zheng, X., Ge, H., Zhu, Z., Xing, L., Kalendralis, P., Wee, L., Dekker, A., Zhang, Z., Ye, Z., & Yuan, Z. (2025). PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter study. Computerized Medical Imaging and Graphics, 126, Article 102663. https://doi.org/10.1016/j.compmedimag.2025.102663More information about this publication
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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, 123(5), 1323-1334. https://doi.org/10.1016/j.ijrobp.2025.05.088More information about this publication
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Mateus, P., Garst, S., Yu, J., Cats, D., Harms, A. G. J., Birhanu, M., Beekman, M., Slagboom, P. E., Reinders, M., van der Grond, J., Dekker, A., Jansen, J. F. A., Beran, M., Schram, M. T., Visser, P. J., Moonen, J., Ghanbari, M., Roshchupkin, G., Vojinovic, D., ... Bron, E. E. (2025). Multi-Cohort Federated Learning Shows Synergy in Mortality Prediction for MRI-Based and Metabolomics-Based Age Scores. Journal of Healthcare Informatics Research, 9(4), 606-628. https://doi.org/10.1007/s41666-025-00208-6More information about this publication
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Chen, S., Liu, Z., Wang, J., Zhang, Z., Dekker, A., Wee, L., Kalendralis, P., Sun, Y., & Tong, T. (2025). Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancer. Cancer Immunology Immunotherapy, 74(12), Article 380. https://doi.org/10.1007/s00262-025-04235-5More information about this publication
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Van Der Velden, A. L., Knapen, R. R. M. M., Rahmani, H., Volmer, L., Simon, S. R., Verhagen, C. A. M., Burgmans, M. C., Dekker, A. L. A. J., Wildberger, J. E., Van Dam, R. M., Brecheisen, R., & Van Der Leij, C. (2025). The influence of AI on surgical and ablative treatments for colorectal liver metastases: a review of the current literature. Insights into Imaging, 16(1), Article 253. https://doi.org/10.1186/s13244-025-02072-9More information about this publication
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Gilano, G., Dekker, A., & Fijten, R. (2025). The Effect of mHealth on Exclusive Breastfeeding and Its Associated Factors Among Women in South Ethiopia: A Cluster Randomized Controlled Trial. Nutrients, 17(21), Article 3477. https://doi.org/10.3390/nu17213477More information about this publication
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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.2025.103551More information about this publication
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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.2025.111134More information about this publication
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van Mierlo, R., Liang, W., Norak, K., Kargl, M., Maasik, M., Bynens, A.-L., Plass, M., Kreuzthaler, M., Benedikt, M., Hochstenbach, L., van 't Hof, A., Celebi, R., Dekker, A., de Zegher, I., Kalendralis, P., & AIDAVA Consortium (2025). An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype. Frontiers in Digital Health, 7, Article 1629413. https://doi.org/10.3389/fdgth.2025.1629413More information about this publication
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Kaidar-Person, O., Pfob, A., Valentini, V., Aznar, M., Dekker, A., Meattini, I., de Boniface, J., Krug, D., Cardoso, M. J., Curigliano, G., Dubsky, P., & Poortmans, P. (2025). Corrigendum to “Artificial intelligence in breast cancer radiotherapy: Insights from the Toolbox Consortium Delphi study” [The Breast, Volume 83 (2025) 104537] . Breast, 83, Article 104557. https://doi.org/10.1016/j.breast.2025.104557More information about this publication