To UM home page

Researcher

Leijenaar, R.T.H.

Researcher

View graph of relations
1 - 23 out of 23Page size: 50
  1. 2019
  2. Published
    Osman, S. O. S., Leijenaar, R. T. H., Cole, A. J., Lyons, C. A., Hounsell, A. R., Prise, K. M., ... Jain, S. (2019). Computed Tomography-based Radiomics for Risk Stratification in Prostate Cancer. International Journal of Radiation Oncology Biology Physics, 105(2), 448-456. https://doi.org/10.1016/j.ijrobp.2019.06.2504
  3. Published
    van Timmeren, J. E., van Elmpt, W., Leijenaar, R. T. H., Reymen, B., Monshouwer, R., Bussink, J., ... Lambin, P. (2019). Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence. Radiotherapy and Oncology, 136, 78-85. https://doi.org/10.1016/j.radonc.2019.03.032
  4. Published
    van Timmeren, J. E., Carvalho, S., Leijenaar, R. T. H., Troost, E. G. C., van Elmpt, W., de Ruysscher, D., ... Lambin, P. (2019). Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics. PLOS ONE, 14(6), [0217536]. https://doi.org/10.1371/journal.pone.0217536
  5. Published
    Walsh, S., de Jong, E. E. C., van Timmeren, J. E., Ibrahim, A., Compter, I., Peerlings, J., ... Lambin, P. (2019). Decision Support Systems in Oncology. JCO Clinical Cancer Informatics, 3, 1-9. https://doi.org/10.1200/CCI.18.00001
  6. 2018
  7. Published
    Larue, R. T. H. M., Klaassen, R., Jochems, A., Leijenaar, R. T. H., Hulshof, M. C. C. M., Henegouwen, M. I. V. B., ... Lambin, P. (2018). Pre-treatment CT radiomics to predict 3-year overall survival following chemoradiotherapy of esophageal cancer. Acta Oncologica, 57(11), 1475-1481. https://doi.org/10.1080/0284186X.2018.1486039
  8. Published
    de Jong, E. E. C., van Elmpt, W., Rizzo, S., Colarieti, A., Spitaleri, G., Leijenaar, R. T. H., ... Lambin, P. (2018). Applicability of a prognostic CT-based radiomic signature model trained on stage I-III non-small cell lung cancer in stage IV non-small cell lung cancer. Lung Cancer, 124, 6-11. https://doi.org/10.1016/j.lungcan.2018.07.023
  9. Published
    Carvalho, S., Leijenaar, R. T. H., Troost, E. G. C., van Timmeren, J. E., Oberije, C., van Elmpt, W., ... Lambin, P. (2018). F-18-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC): A prospective externally validated study. PLOS ONE, 13(3), [e0192859]. https://doi.org/10.1371/journal.pone.0192859
  10. Published
    Keek, S. A., Leijenaar, R. T., Jochems, A., & Woodruff, H. C. (2018). A review on radiomics and the future of theranostics for patient selection in precision medicine. British Journal of Radiology, 91(1091), [20170926]. https://doi.org/10.1259/bjr.20170926
  11. Published
    Leijenaar, R. T. H., Bogowicz, M., Jochems, A., Hoebers, F. J. P., Wesseling, F. W. R., Huang, S. H., ... Lambin, P. (2018). Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study. British Journal of Radiology, 91(1086), [2017049811075]. https://doi.org/10.1259/bjr.20170498
  12. Published
    Verduin, M., Compter, I., Steijvers, D., Postma, A. A., Eekers, D. B. P., Anten, M. M., ... Vooijs, M. (2018). Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response. Disease Markers, 2018, [2908609]. https://doi.org/10.1155/2018/2908609
  13. 2017
  14. Published
    Bogowicz, M., Leijenaar, R. T. H., Tanadini-Lang, S., Riesterer, O., Pruschy, M., Studer, G., ... Lambin, P. (2017). Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor models. Radiotherapy and Oncology, 125(3), 385-391. https://doi.org/10.1016/j.radonc.2017.10.023
  15. Published
    Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., de Jong, E. E. C., van Timmeren, J., ... Walsh, S. (2017). Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology, 14(12), 749-762. https://doi.org/10.1038/nrclinonc.2017.141
  16. Published
    Larue, R. T. H. M., Van De Voorde, L., van Timmeren, J. E., Leijenaar, R. T. H., Berbee, M., Sosef, M. N., ... Lambin, P. (2017). 4DCT imaging to assess radiomics feature stability: An investigation for thoracic cancers. Radiotherapy and Oncology, 125(1), 147-153. https://doi.org/10.1016/j.radonc.2017.07.023
  17. Published
    Ou, D., Blanchard, P., Rosellini, S., Levy, A., Nguyen, F., Leijenaar, R. T. H., ... Tao, Y. (2017). Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status. Oral Oncology, 71, 150-155. https://doi.org/10.1016/j.oraloncology.2017.06.015
  18. Published
    Grossmann, P., Stringfield, O., El-Hachem, N., Bui, M. M., Velazquez, E. R., Parmar, C., ... Aerts, H. J. W. L. (2017). Defining the biological basis of radiomic phenotypes in lung cancer. Elife, 6, [23421]. https://doi.org/10.7554/eLife.23421
  19. Published
    van Timmeren, J. E., Leijenaar, R. T. H., van Elmpt, W., Reymen, B., Oberije, C., Monshouwer, R., ... Lambin, P. (2017). Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images. Radiotherapy and Oncology, 123(3), 363-369. https://doi.org/10.1016/j.radonc.2017.04.016
  20. Published
    Zindler, J. D., Jochems, A., Lagerwaard, F. J., Beumer, R., Troost, E. G. C., Eekers, D. B. P., ... Lambin, P. (2017). Individualized early death and long-term survival prediction after stereotactic radiosurgery for brain metastases of non-small cell lung cancer: Two externally validated nomograms. Radiotherapy and Oncology, 123(2), 189-194. https://doi.org/10.1016/j.radonc.2017.02.006
  21. Published
    Mihl, C., Maas, M., Turek, J., Seehofnerova, A., Leijenaar, R. T. H., Kok, M., ... Das, M. (2017). Contrast Media Administration in Coronary Computed Tomography Angiography - A Systematic Review. Rofo-fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren, 189(4), 312-325. https://doi.org/10.1055/s-0042-121609
  22. Published
    Lambin, P., Zindler, J., Vanneste, B. G. L., Van De Voorde, L., Eekers, D., Compter, I., ... Walsh, S. (2017). Decision support systems for personalized and participative radiation oncology. Advanced Drug Delivery Reviews, 109, 131-153. https://doi.org/10.1016/j.addr.2016.01.006
  23. Published
    de Jong, E. E. C., van Elmpt, W., Leijenaar, R. T. H., Hoekstra, O. S., Groen, H. J. M., Smit, E. F., ... Dingemans, A-M. C. (2017). [18F]FDG PET/CT-based response assessment of stage IV non-small cell lung cancer treated with paclitaxel-carboplatin-bevacizumab with or without nitroglycerin patches. European Journal of Nuclear Medicine and Molecular Imaging, 44(1), 8-16. https://doi.org/10.1007/s00259-016-3498-y
  24. Published
    van Timmeren, J. E., Leijenaar, R. T. H., van Elmpt, W., Reymen, B., & Lambin, P. (2017). Feature selection methodology for longitudinal cone-beam CT radiomics. Acta Oncologica, 56(11), 1537-1543. https://doi.org/10.1080/0284186X.2017.1350285
  25. Published
    Larue, R. T. H. M., van Timmeren, J. E., de Jong, E. E. C., Feliciani, G., Leijenaar, R. T. H., Schreurs, W. M. J., ... Lambin, P. (2017). Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study. Acta Oncologica, 56(11), 1544-1553. https://doi.org/10.1080/0284186X.2017.1351624
  26. Published
    Leijenaar, R. T. H. (2017). Radiomics: Images are more than meets the eye. Maastricht: Datawyse / Universitaire Pers Maastricht. https://doi.org/10.26481/dis20171212rl

UM personal profile

UM postal address
P.O. Box 616
6200 MD Maastricht
The Netherlands

UM visiting address
Minderbroedersberg 4-6
6211 LK Maastricht
The Netherlands
Phone: +31 43 388 2222

Quick Links