Publications
Complete list of publications in google scholar (including preprints):
Calster, B Van., Collins, GS., Vickers, AJ., Wynants, L., Kerr, KF., Barreñada, L., & … (2025). Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance. The Lancet Digital Health.
Geysels, A., Garofalo, G., Timmerman, S., Barreñada, L., Moor, B De., & … (2025). Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumors: a systematic review and meta-analysis. Gynecologic and Obstetric Investigation.
Martinez-Garcia, M., Garcia-Gutierrez, S., Barrenada, L., Inza, I., & Lozano, JA. (2025). Extending the learning using privileged information paradigm to logistic regression. Neurocomputing. 615, 128869
Barreñada, L., Ledger, A., Kotlarz, A., Dhiman, P., Collins, GS., Wynants, L., & … (2025). Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studies. BMJ open. 15 (10), e104141
Moro, F., Momi, M., Ledger, A., Barreñada, L., Ceusters, J., Sturla, D., Mor, E., & … (2025). External validation of ultrasound-based models for differentiating between benign and malignant adnexal masses: a nationwide prospective multicenter study (IOTA phase 6). American Journal of Obstetrics and Gynecology.
Barreñada, L., Steyerberg, EW., Timmerman, D., Thomassen, D., Wynants, L., & … (2025). The fundamental problem of risk prediction for individuals: health AI, uncertainty, and personalized medicine. arXiv preprint arXiv:. :2506.17141
Zegarra, RR., Cimino, G., Bonetti, M., Melito, C., Bontempo, P., Conforti, F., & … (2025). Standardization of the sonographic measurement of the head to perineum distance: A pilot study comparing techniques with and without perineal compression. European Journal of Obstetrics & Gynecology and Reproductive Biology. 114520
Barreñada, L., Campo, BDC., Wynants, L., & Calster, B Van. (2025). Clustered Flexible Calibration Plots For Binary Outcomes Using Random Effects Modeling. arXiv preprint arXiv:. :2503.08389
Barreñada, L., Dhiman, P., Timmerman, D., Boulesteix, AL., & Calster, B Van. (2024). Understanding overfitting in random forest for probability estimation: a visualization and simulation study. Diagnostic and Prognostic Research. 8 (1), 14
Barreñada, L., Ledger, A., Dhiman, P., Collins, G., Wynants, L., Verbakel, JY., & … (2024). ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ medicine. 3 (1), e000817
Martínez-García, M., García-Gutierrez, S., Barreñada, L., Armañanzas, R., & … (2023). Clinical severity prediction of COVID-19 admitted patients in Spain: SEMI and REDISSEC cohorts. medRxiv. 2023.02. 08.23285589
Barreñada, L., Cueto, JC Gálvez Sainz de., & Calatrava, J Fernández. (2022). Timeliness reduction on industrial turnover index based on machine learning algorithms. Statistical Journal of the IAOS. 38 (4), 1195-1205