Dekker, A.L.A.J.

Persoonlijk hoogleraar

View graph of relations
  1. 2018
  2. Published
  3. Published
  4. Published
    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. DOI: 10.1002/mp.13200
  5. Published
  6. Published
    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. DOI: 10.1002/mp.12811
  7. Published
  8. Published
    Mayo, C. S., Phillips, M., McNutt, T. R., Palta, J., Dekker, A., Miller, R. C., ... Lawrence, T. S. (2018). Treatment data and technical process challenges for practical big data efforts in radiation oncology. Medical Physics, 45(10), E793-E810. DOI: 10.1002/mp.13114
  9. Published
  10. Published
  11. Published
    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. DOI: 10.1007/s11547-017-0838-3
  12. Published
  13. Published
  14. Published
  15. Published
  16. Published
  17. Published
    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. DOI: 10.20368/1971-8829/1454
  18. 2017
  19. Published
  20. Published
  21. Published
  22. Published
    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. DOI: 10.2217/fon-2017-0142
  23. Published
  24. Published
  25. Published
  26. Published
  27. Published
  28. 2016
  29. Published
  30. Published
    Dekker, A. L. A. J. (2016). Leren van andermans data. Maastricht: Maastricht University.
  31. Published
  32. Published
  33. Published
    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.
  34. Published
  35. Published
  36. Published
    Meldolesi, E., van Soest, J., Damiani, A., Dekker, A., Alitto, A. R., Campitelli, M., ... Valentini, V. (2016). Standardized data collection to build prediction models in oncology: a prototype for rectal cancer. Future Oncology, 12(1), 119-36. DOI: 10.2217/fon.15.295
  37. Published
  38. 2015
  39. Published
    Shen, L., van Soest, J., Wang, J., Yu, J., Hu, W., Gong, Y. U. T., ... Zhang, Z. (2015). Validation of a rectal cancer outcome prediction model with a cohort of Chinese patients. Oncotarget, 6(35), 38327-38335. DOI: 10.18632/oncotarget.5195
  40. Published
  41. Published
  42. Published
  43. Published
  44. Published
    Meldolesi, E., van Soest, J., Dinapoli, N., Dekker, A., Damiani, A., Gambacorta, M. A., & Valentini, V. (2015). Medicine is a science of uncertainty and an art of probability (Sir W. Osler). Radiotherapy and Oncology, 114(1), 132-134. DOI: 10.1016/j.radonc.2014.12.013
  45. 2014
  46. Published
    Skripcak, T., Belka, C., Bosch, W., Brink, C., Brunner, T., Budach, V., ... Baumann, M. (2014). Creating a data exchange strategy for radiotherapy research: Towards federated databases and anonymised public datasets. Radiotherapy and Oncology, 113(3), 303-309. DOI: 10.1016/j.radonc.2014.10.001
  47. Published
  48. Published
    Dekker, A., Vinod, S., Holloway, L., Oberije, C., George, A., Goozee, G., ... Thwaites, D. (2014). Rapid learning in practice: a lung cancer survival decision support system in routine patient care data. Radiotherapy and Oncology, 113(1), 47-53. DOI: 10.1016/j.radonc.2014.08.013
  49. Published
    Rosenstein, B. S., West, C. M., Bentzen, S. M., Alsner, J., Andreassen, C. N., Azria, D., ... Zenhausern, F. (2014). Radiogenomics: Radiobiology Enters the Era of Big Data and Team Science. International Journal of Radiation Oncology Biology Physics, 89(4), 709-713. DOI: 10.1016/j.ijrobp.2014.03.009
  50. Published
  51. Published
  52. Published
    Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Cavalho, S., ... Lambin, P. (2014). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications, 5, [4006]. DOI: 10.1038/ncomms5006
  53. Published
  54. Published
  55. Published
    Ibrahim, A., Bucur, A., Dekker, A., Marshall, M. S., Perez-Rey, D., Alonso-Calvo, R., ... Mehta, K. (2014). Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology. In Proceedings - IEEE 14th International Conference on Bioinformatics and Bioengineering, BIBE 2014 (pp. 204-211). (Proceedings - IEEE 14th International Conference on Bioinformatics and Bioengineering, BIBE 2014). IEEE. DOI: 10.1109/BIBE.2014.12
Previous 1 2 Next