van Daalen, F., Ippel, L., Dekker, A., & Bermejo, I. (2024). VertiBayes: learning Bayesian network parameters from vertically partitioned data with missing values. Complex & Intelligent Systems, 10(4), 5317-5329. https://doi.org/10.1007/s40747-024-01424-0
Mateus, P., Moonen, J., Beran, M., Jaarsma, E., van der Landen, S. M., Heuvelink, J., Birhanu, M., Harms, A. G. J., Bron, E., Wolters, F. J., Cats, D., Mei, H., Oomens, J., Jansen, W., Schram, M. T., Dekker, A., & Bermejo, I. (2024). Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. Journal of biomedical informatics, 155, Article 104661. https://doi.org/10.1016/j.jbi.2024.104661
Jalepalli, S. K., Gupta, P., Dekker, A. L. A. J., Bermejo, I., & Kar, S. (2024). Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score (AICVD). Family Medicine and Community Health, 12(1 Suppl), Article e002340. https://doi.org/10.1136/fmch-2023-002340
Bruninx, A., Geraeds, C., Brunner-La Rocca, H., Dekker, A., & Bermejo, I. (2023). Modelling clinicians' decisions to adjust loop diuretic dose based on patient-reported symptoms to inform decision-aids in daily care of chronic heart failure. European Heart Journal, 44.
Mateus, P., Volmer, L., Wee, L., Aerts, H. J. W. L., Hoebers, F., Dekker, A., & Bermejo, I. (2023). Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization. Scientific Reports, 13(1), Article 18176. https://doi.org/10.1038/s41598-023-45486-5
Sieswerda, M., van Rossum, R., Bermejo, I., Geleijnse, G., Aben, K., van Erning, F., de Hingh, I., Lemmens, V., Dekker, A., & Verbeek, X. (2023). Estimating Treatment Effect of Adjuvant Chemotherapy in Elderly Patients With Stage III Colon Cancer Using Bayesian Networks. JCO Clinical Cancer Informatics, 7(1), Article e2300080. https://doi.org/10.1200/CCI.23.00080
Chen, J., Wee, L., Dekker, A., & Bermejo, I. (2023). Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi-dataset feasibility study. Medical Physics, 50(7), 4220-4233. https://doi.org/10.1002/mp.16430
Mithun, S., Jha, A. K., Sherkhane, U. B., Jaiswar, V., Purandare, N. C., Dekker, A., Puts, S., Bermejo, I., Rangarajan, V., Zegers, C. M. L., & Wee, L. (2023). Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma. Journal of Digital Imaging, 36(3), 812-826. https://doi.org/10.1007/s10278-023-00787-z
Kalendralis, P., Luk, S. M., Canters, R., Eyssen, D., Vaniqui, A., Wolfs, C., Murrer, L., van Elmpt, W., Kalet, A. M., Dekker, A., van Soest, J., Fijten, R., Zegers, C. M., & Bermejo, I. (2023). AI-based radiotherapy treatment planning quality assurance: A multi-institutional study. Radiotherapy and Oncology, 182, S243-S244.
Hasannejadasl, H., Osong, B., Bermejo, I., van der Poel, H., Vanneste, B., van Roermund, J., Aben, K., Zhang, Z., Kiemeney, L., Van Oort, I., Verwey, R., Hochstenbach, L., Bloemen, E., Dekker, A., & Fijten, R. R. R. (2023). A comparison of machine learning models for predicting urinary incontinence in men with localized prostate cancer. Frontiers in Oncology, 13(1), Article 1168219. https://doi.org/10.3389/fonc.2023.1168219