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

Gottardelli, B., Gouthamchand, V., Masciocchi, C., Boldrini, L., Martino, A., Mazzarella, C., Massaccesi, M., Monshouwer, R., Findhammer, J., Wee, L., Dekker, A., Gambacorta, M. A., & Damiani, A. (2024). A distributed feature selection pipeline for survival analysis using radiomics in non-small cell lung cancer patients. Scientific Reports, 14(1), Article 7814. https://doi.org/10.1038/s41598-024-58241-1
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Yu, L., Zhang, Z., Yi, H. Q., Wang, J., Li, J., Wang, X., Bai, H., Ge, H., Zheng, X., Ni, J., Qi, H., Guan, Y., Xu, W., Zhu, Z., Xing, L., Dekker, A., Wee, L., Traverso, A., Ye, Z., & Yuan, Z. (2024). A PET/CT radiomics model for predicting distant metastasis in early-stage non-small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study. Radiation Oncology, 19(1), Article 10. https://doi.org/10.1186/s13014-024-02402-z
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Osong, B., Hasannejadasl, H., van der Poel, H., Vanneste, B., van Roermund, J., Aben, K., Van Soest, J., Van Oort, I., Hochstenbach, L., Bloemen- van Gurp, E. J., Dekker, A., & Fijten, R. R. R. (2024). The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian network. Technical Innovations and Patient Support in Radiation Oncology, 31, Article 100234. https://doi.org/10.1016/j.tipsro.2024.100234
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Tohidinezhad, F., Zegers, C. M. L., Vaassen, F., Dijkstra, J., Anten, M., Van Elmpt, W., De Ruysscher, D., Dekker, A., Eekers, D. B. P., & Traverso, A. (2024). Predicting the risk of neurocognitive decline after brain irradiation in adult patients with a primary brain tumor. Neuro-oncology, 26(8), 1467-1478. https://doi.org/10.1093/neuonc/noae035
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Yang, F., Feng, Y., Sun, P., Traverso, A., Dekker, A., Zhang, B., Huang, Z., Wang, Z., & Yan, D. (2024). Preoperative prediction of high-grade osteosarcoma response to neoadjuvant therapy based on a plain CT radiomics model: A dual-center study. Journal of Bone Oncology, 47, Article 100614. https://doi.org/10.1016/j.jbo.2024.100614
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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
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Wang, Z., Gao, H., Wang, X., Grzegorzek, M., Li, J., Sun, H., Ma, Y., Zhang, X., Zhang, Z., Dekker, A., Traverso, A., Zhang, Z., Qian, L., Xiao, M., & Feng, Y. (2024). A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery. BMC Women's Health, 24(1), Article 425. https://doi.org/10.1186/s12905-024-03270-1
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Field, M., Vinod, S., Delaney, G. P., Aherne, N., Bailey, M., Carolan, M., Dekker, A., Greenham, S., Hau, E., Lehmann, J., Ludbrook, J., Miller, A., Rezo, A., Selvaraj, J., Sykes, J., Thwaites, D., & Holloway, L. (2024). Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non–small Cell Lung Cancer Using Real-World Data. Clinical Oncology, 36(7), e197-e208. https://doi.org/10.1016/j.clon.2024.03.008
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Janssen, E. R. C., Punt, I. M., van Soest, J., Heerkens, Y. F., Stallinga, H. A., Ten Napel, H., van Rhijn, L. W., Mons, B., Dekker, A., Willems, P. C., & van Meeteren, N. L. U. (2024). Operationalizing and digitizing person-centered daily functioning: a case for functionomics. BMC Medical Informatics and Decision Making, 24(1), Article 184. https://doi.org/10.1186/s12911-024-02584-2
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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
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