Researcher

Dekker, A.L.A.J.

Full professor - Personal chair

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  1. 2019
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    Gatta, R., Vallati, M., Dinapoli, N., Masciocchi, C., Lenkowicz, J., Cusumano, D., ... Valentini, V. (2019). Towards a modular decision support system for radiomics: A case study on rectal cancer. Artificial Intelligence in Medicine, 96, 145-153. https://doi.org/10.1016/j.artmed.2018.09.003
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  17. 2018
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    Gooding, M. J., Smith, A. J., Tariq, M., Aljabar, P., Peressutti, D., van der Stoep, J., ... van Elmpt, W. (2018). Comparative evaluation of autocontouring in clinical practice: A practical method using the Turing test. Medical Physics, 45(11), 5105-5115. https://doi.org/10.1002/mp.13200
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    Yang, J., Veeraraghavan, H., Armato, S. G., Farahani, K., Kirby, J. S., Kalpathy-Kramer, J., ... Sharp, G. C. (2018). Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Medical Physics, 45(10), 4568-4581. https://doi.org/10.1002/mp.13141
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    El Naqa, I., Ruan, D., Valdes, G., Dekker, A., McNutt, T., Ge, Y., ... Ten Haken, R. (2018). Machine learning and modeling: Data, validation, communication challenges. Medical Physics, 45(10), E834-E840. https://doi.org/10.1002/mp.12811
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    Cusumano, D., Dinapoli, N., Boldrini, L., Chiloiro, G., Gatta, R., Masciocchi, C., ... Valentini, V. (2018). Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer. Radiologia medica, 123(4), 286-295. https://doi.org/10.1007/s11547-017-0838-3
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    Damiani, A., Masciocchi, C., Boldrini, L., Gatta, R., Dinapoli, N., Lenkowicz, J., ... Valentini, V. (2018). PRELIMINARY DATA ANALYSIS IN HEALTHCARE MULTICENTRIC DATA MINING: A PRIVACY-PRESERVING DISTRIBUTED APPROACH. Journal of E-Learning and Knowledge Society, 14(1), 71-81. https://doi.org/10.20368/1971-8829/1454
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  38. 2017
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    Alitto, A. R., Gatta, R., Vanneste, B. G. L., Vallati, M., Meldolesi, E., Damiani, A., ... Mantini, G. (2017). PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE. Future Oncology, 13(24), 2171-2181. https://doi.org/10.2217/fon-2017-0142
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  48. 2016
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    Hu, Q., Huang, Z., Ten Teije, A., Van Harmelen, F., Marshall, M. S., & Dekker, A. (2016). A topic-centric approach to detecting new evidences for evidence-based medical guidelines. In HEALTHINF 2016: 9th International Conference on Health Informatics, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 (pp. 282-289). SCITEPRESS.
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