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- 2019
- PublishedOsman, 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
- Publishedde Jong, E. E. C., Sanders, K. J. C., Deist, T. M., van Elmpt, W., Jochems, A., van Timmeren, J. E., ... Lambin, P. (2019). Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer? European Journal of Cancer, 120, 107-113. https://doi.org/10.1016/j.ejca.2019.07.023
- Publishedvan 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
- Publishedvan 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
- PublishedWalsh, 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
- 2018
- PublishedLarue, 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
- Publishedde 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
- PublishedCarvalho, 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
- Published
- PublishedLeijenaar, 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
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- 2017
- PublishedBogowicz, 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
- PublishedLambin, 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
- PublishedLarue, 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
- PublishedOu, 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
- PublishedGrossmann, 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
- Publishedvan 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
- PublishedZindler, 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
- PublishedMihl, 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
- PublishedLambin, 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
- Publishedde 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
- Publishedvan 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
- PublishedLarue, 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
- PublishedLeijenaar, R. T. H. (2017). Radiomics: Images are more than meets the eye. Maastricht: Datawyse / Universitaire Pers Maastricht. https://doi.org/10.26481/dis20171212rl