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S.A. Keek

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  • Connor, K., Conroy, E., White, K., Shiels, L. P., Keek, S., Ibrahim, A., Gallagher, W. M., Sweeney, K. J., Clerkin, J., O'Brien, D., Cryan, J. B., O'Halloran, P. J., Heffernan, J., Brett, F., Lambin, P., Woodruff, H. C., & Byrne, A. T. (2024). A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring. Scientific Reports, 14(1), Article 2720. https://doi.org/10.1038/s41598-024-52960-1
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  • Rogers, W., Keek, S. A., Beuque, M., Lavrova, E., Primakov, S., Wu, G., Yan, C., Sanduleanu, S., Gietema, H. A., Casale, R., Occhipinti, M., Woodruff, H. C., Jochems, A., & Lambin, P. (2023). Towards texture accurate slice interpolation of medical images using PixelMiner. Computers in Biology and Medicine, 161(1), Article 106701. https://doi.org/10.1016/j.compbiomed.2023.106701
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  • Keek, S. A. (2023). Hand-crafted and deep radiomics for the management of advanced cancer stages. [Doctoral Thesis, Maastricht University]. Maastricht University. https://doi.org/10.26481/dis.20231012sk
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  • Keek, S. A., Kayan, E., Chatterjee, A., Belderbos, J. S. A., Bootsma, G., van den Borne, B., Dingemans, A.-M. C., Gietema, H. A., Groen, H. J. M., Herder, J., Pitz, C., Praag, J., De Ruysscher, D., Schoenmaekers, J., Smit, H. J. M., Stigt, J., Westenend, M., Zeng, H., Woodruff, H. C., ... Hendriks, L. (2022). Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC. Therapeutic Advances in Medical Oncology, 14, Article 17588359221116605. https://doi.org/10.1177/17588359221116605
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  • Granzier, R. W. Y., Ibrahim, A., Primakov, S., Keek, S. A., Halilaj, I., Zwanenburg, A., Engelen, S. M. E., Lobbes, M. B. I., Lambin, P., Woodruff, H. C., & Smidt, M. L. (2022). Test-Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability. Journal of Magnetic Resonance Imaging, 56(2), 592-604. https://doi.org/10.1002/jmri.28027
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  • Keek, S. A., Beuque, M., Primakov, S., Woodruff, H. C., Chatterjee, A., van Timmeren, J. E., Vallières, M., Hendriks, L. E. L., Kraft, J., Andratschke, N., Braunstein, S. E., Morin, O., & Lambin, P. (2022). Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics. Frontiers in Oncology, 12, Article 920393. https://doi.org/10.3389/fonc.2022.920393
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  • Primakov, S. P., Ibrahim, A., van Timmeren, J. E., Wu, G. Y., Keek, S. A., Beuque, M., Granzier, R. W. Y., Lavrova, E., Scrivener, M., Sanduleanu, S., Kayan, E., Halilaj, I., Lenaers, A., Wu, J. L., Monshouwer, R., Geets, X., Gietema, H. A., Hendriks, L. E. L., Morin, O., ... Lambin, P. (2022). Automated detection and segmentation of non-small cell lung cancer computed tomography images. Nature Communications, 13(1), Article 3423. https://doi.org/10.1038/s41467-022-30841-3
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  • Keek, S. A., Wesseling, F. W. R., Woodruff, H. C., van Timmeren, J. E., Nauta, I. H., Hoffmann, T. K., Cavalieri, S., Calareso, G., Primakov, S., Leijenaar, R. T. H., Licitra, L., Ravanelli, M., Scheckenbach, K., Poli, T., Lanfranco, D., Vergeer, M. R., Leemans, C. R., Brakenhoff, R. H., Hoebers, F. J. P., & Lambin, P. (2021). A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images. Cancers, 13(13), Article 3271. https://doi.org/10.3390/cancers13133271
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  • Sanduleanu, S., Keek, S., Hoezen, L., & Lambin, P. (2021). Biomarkers for hypoxia, hpvness, and proliferation from imaging perspective. In J. B. Vermorken, V. Budach, C. R. Leemans, J.-P. Machiels, P. Nicolai, & B. O'Sullivan (Eds.), Critical Issues in Head and Neck Oncology: Key Concepts from the Seventh THNO Meeting (pp. 13-20). Springer International Publishing. https://doi.org/10.1007/978-3-030-63234-2_2
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  • Cavalieri, S., De Cecco, L., Brakenhoff, R. H., Serafini, M. S., Canevari, S., Rossi, S., Lanfranco, D., Hoebers, F. J. P., Wesseling, F. W. R., Keek, S., Scheckenbach, K., Mattavelli, D., Hoffmann, T., Lopez Perez, L., Fico, G., Bologna, M., Nauta, I., Leemans, C. R., Trama, A., ... BD2Decide Consortium (2021). Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project. Head and Neck-Journal for the Sciences and Specialties of the Head and Neck, 43(2), 601-612. https://doi.org/10.1002/hed.26515
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