de Zegher, I., Norak, K., Steiger, D., Mueller, H., Kalra, D., Scheenstra, B., Cina, I., Shulz, S., Uma, K., Kalendralis, P., Lotmam, E.-M., Benedikt, M., Dumontier, M., & Celebi, R. (2024). Artificial intelligence based data curation: enabling a patient-centric European health data space. Frontiers in medicine, 11, Article 1365501. https://doi.org/10.3389/fmed.2024.1365501
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., Roumen, C., van der Poel, H., Vanneste, B., van Roermund, J., Aben, K., Kalendralis, P., Osong, B., Kiemeney, L., Van Oort, I., Verwey, R., Hochstenbach, L., J Bloemen-van Gurp, E., Dekker, A., & Fijten, R. R. R. (2023). Development and external validation of multivariate prediction models for erectile dysfunction in men with localized prostate cancer. PLOS ONE, 18(3), Article e0276815. https://doi.org/10.1371/journal.pone.0276815
Kalendralis, P., Luk, S. M. H., 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. L., & Bermejo, I. (2023). Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study. Frontiers in Oncology, 13(1), Article 1099994. https://doi.org/10.3389/fonc.2023.1099994
Swart, R. R., Fijten, R., Boersma, L. J., Kalendralis, P., Behrendt, M. D., Ketelaars, M., Roumen, C., & Jacobs, M. J. G. (2023). External validation of a prediction model for timely implementation of innovations in radiotherapy. Radiotherapy and Oncology, 179(1), Article 109459. https://doi.org/10.1016/j.radonc.2022.109459
Kalendralis, P., Sloep, M., Choudhury, A., Seyben, L., Snel, J., George, N. M., Veugen, J., Veening, M., Langendijk, J. A., Dekker, A., van Soest, J., & Fijten, R. (2023). Technical note: A knowledge graph approach to registering tumour specific data of patient-candidates for proton therapy in the Netherlands. Medical Physics, 50(2), 1044-1050. https://doi.org/10.1002/mp.16105
Kalendralis, P., Vallières, M., Kann, B. H., Sanjay, A., Rashid, A. S., Dekker, A., & Fijten, R. (2023). Radiomics: "unlocking the potential of medical images for precision radiation oncology". In J. Kang, T. Rattay, & B. S. Rosenstein (Eds.), Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians (pp. 73-105). Elsevier. https://doi.org/10.1016/B978-0-12-822000-9.00009-4
Kalendralis, P., Sloep, M., Snel, J., George, N. M., Langendijk, J. A., Veening, M., Dekker, A., van Soest, J., & Fijten, R. (2022). The Dutch Initiative for the Model-Based Selection of Patients for Proton Therapy - A Federated Learning IT Infrastructure. International Journal of Radiation Oncology Biology Physics, 114(3), S19-S19. https://doi.org/10.1016/j.ijrobp.2022.07.366
Kalendralis, P., Sloep, M., Moni George, N., Snel, J., Veugen, J., Hoebers, F., Wesseling, F., Unipan, M., Veening, M., Langendijk, J. A., Dekker, A., van Soest, J., & Fijten, R. (2022). Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy. Physics & Imaging in Radiation Oncology, 24, 47-52. https://doi.org/10.1016/j.phro.2022.09.005
Kalendralis, P., Sloep, M., Snel, J., George, N. M., Veening, M., Van der Schaaf, A., Langendijk, J. A., Dekker, A., Van Soest, J., & Fijten, R. (2022). A federated learning IT-infrastructure to support the Dutch model-based approach for proton therapy. Radiotherapy and Oncology, 170, S471-S473. https://doi.org/10.1016/S0167-8140(22)02381-7
