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

van Daalen, F., Brecheisen, R., Wee, L., Dekker, A., & Bermejo, I. (2026). Multinomial Classification Certainty: a new uncertainty metric for multinomial outcome prediction. Progress in Artificial Intelligence, 15(2), 259-271. https://doi.org/10.1007/s13748-025-00404-w

Wang, J., Jiang, Z., Ji, W., Cheng, H., Zhang, Z., Dekker, A., Wee, L., Yan, M., & Lai, X. (2026). Correction: Cross-dataset adaptation of voxel-level deep radiomics for predicting survival in inoperable locally advanced NSCLC treated with immunotherapy. Frontiers in Immunology, 17, Article 1842651. https://doi.org/10.3389/fimmu.2026.1842651

Zhu, Z., Yan, M., Ji, W., Zhang, Z., Dekker, A., Wee, L., Zhang, T., & Lai, X. (2026). Adapting federated radiomics models for radiation pneumonitis prediction in patients receiving thoracic radiotherapy with immunotherapy. Frontiers in Immunology, 17, Article 1793039. https://doi.org/10.3389/fimmu.2026.1793039

Heising, L., Ackermans, T., Boersma, L., Ou, C., Bosmans, G., Swart, R., Dekker, A., & Jacobs, M. (2026). Impact of Proton Therapy Implementation on Processes, Patient Satisfaction, and Technology Use in a Radiation Therapy Department. Advances in Radiation Oncology, 11(4), Article 101988. https://doi.org/10.1016/j.adro.2025.101988

Koutsouvelis, P., Ermans, S. J. E., Volmer, L., Hoeberigs, C. M., Brecheisen, R., Eekers, D. B. P., Schijns, O. E. M. G., & Dekker, A. (2026). Localizing the epileptogenic zone using deep learning and neuroimaging: A systematic review. SEIZURE-EUROPEAN JOURNAL OF EPILEPSY, 137, 121-137. https://doi.org/10.1016/j.seizure.2026.03.002

Zhou, M., Li, M., Cao, Q., Zhang, Z., Wee, L., Dekker, A., Zhu, J., Jiang, H., Jiang, J., Miao, X., Mao, W., Yan, M., & Lu, H. (2026). Malignant pleural mesothelioma classification and survival prediction with CT imaging using ResNet. European Radiology, 36(4), 2603-2614. https://doi.org/10.1007/s00330-025-12094-y

Chen, S., Liu, Z., Wang, J., Zhang, Z., Dekker, A., Wee, L., Kalendralis, P., Sun, Y., & Tong, T. (2026). Correction: Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancer (vol 74 , 380 , 2025). Cancer Immunology Immunotherapy, 75(4), Article 113. https://doi.org/10.1007/s00262-026-04315-0

Wang, J., Jiang, Z., Ji, W., Cheng, H., Zhang, Z., Dekker, A., Wee, L., Yan, M., & Lai, X. (2026). Cross-dataset adaptation of voxel-level deep radiomics for predicting survival in inoperable locally advanced NSCLC treated with immunotherapy. Frontiers in Immunology, 17, Article 1787518. https://doi.org/10.3389/fimmu.2026.1787518

Okegunna, Y., Sekar, M., Adriaans, G. M. C., Cloots, M. J. J., Zhang, J., Aliu, A., Hendrix, E. M. B., Romberg-Camps, M., Rezazadeh Ardabili, A., Mujagic, Z., Dekker, A., Pierik, M. J., & Fijten, R. R. R. (2026). Advancing Predictive Modeling of Inflammatory Bowel Disease (IBD) Flares: A Data-Driven Approach Using Lifestyle and Psychosocial Factors from a Remote Monitoring Platform. Digestive Diseases and Sciences. Advance online publication. https://doi.org/10.1007/s10620-026-09750-8

Huang, Y., Wei, Z., Ye, G., Cui, Y., Li, C., Wu, G., Yang, W., Zhang, B., Zhang, Z., Jiang, Y., Hendriks, L. E. L., Wee, L., De Ruysscher, D., Dekker, A., Shi, L., Liu, Z., He, B., & Shi, Z. (2026). Automated CT-derived body composition predicts pathologic response to neoadjuvant immunotherapy in non–small cell lung cancer. Cancer Letters, 640, Article 218229. https://doi.org/10.1016/j.canlet.2025.218229