I. Bermejo Delgado

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

Henriksen, M. B., Van Daalen, F., Wee, L., Hansen, T. F., Jensen, L. H., Brasen, C. L., Hilberg, O., & Bermejo, I. (2025). Lung Cancer Detection Using Bayesian Networks: A Retrospective Development and Validation Study on a Danish Population of High-Risk Individuals. Cancer Medicine, 14(3), Article e70458. https://doi.org/10.1002/cam4.70458

Daalen, F. V., Henriksen, M. H. B., Hansen, T. F., Jensen, L. H., Brasen, C. L., Hilberg, O., Andersen, M. A. K., Humerfelt, E., Wee, L., & Bermejo, I. (2024). A Bayesian Network Approach to Lung Cancer Screening: Assessing the Impact of Data Quantity, Quality, and the Combination of Data from Danish Electronic Health Records. Cancers, 16(23), Article 3989. https://doi.org/10.3390/cancers16233989

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

Kalendralis, P., Luk, S. M. H., Kalet, A. M., Piotrowski, T., Ryczkowski, A., Kazmierska, J., Bermejo, I., & Dekker, A. (2024). External validation of an AI tool for the detection of radiotherapy errors- A multicentric study. Radiotherapy and Oncology, 194, S4752-S4753.

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