Researcher

Lambin, P.

Full professor - Key domain chair

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  1. 2019
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  20. 2018
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    Klaassen, R., Larue, R. T. H. M., Mearadji, B., van der Woude, S. O., Stoker, J., Lambin, P., & van Laarhoven, H. W. M. (2018). Feasibility of CT radiomics to predict treatment response of individual liver metastases in esophagogastric cancer patients. PLOS ONE, 13(11), [0207362]. https://doi.org/10.1371/journal.pone.0207362
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    Haider, S., Yao, C. Q., Sabine, V. S., Grzadkowski, M., Stimper, V., Starmans, M. H. W., ... Boutros, P. C. (2018). Pathway-based subnetworks enable cross-disease biomarker discovery. Nature Communications, 9, [4746]. https://doi.org/10.1038/s41467-018-07021-3
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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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    Salem, A., Asselin, M-C., Reymen, B., Jackson, A., Lambin, P., West, C. M. L., ... Faivre-Finn, C. (2018). Targeting Hypoxia to Improve Non-Small Cell Lung Cancer Outcome. Journal of the National Cancer Institute, 110(1), 14-30. https://doi.org/10.1093/jnci/djx160
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    Kazokaite, J., Niemans, R., Dudutiene, V., Becker, H. M., Leitans, J., Zubriene, A., ... Matulis, D. (2018). Novel fluorinated carbonic anhydrase IX inhibitors reduce hypoxia-induced acidification and clonogenic survival of cancer cells. Oncotarget, 9(42), 26800-26816. https://doi.org/10.18632/oncotarget.25508
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  51. 2017
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    Tunali, I., Stringfield, O., Guvenis, A., Wang, H., Liu, Y., Balagurunathan, Y., ... Schabath, M. B. (2017). Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients. Oncotarget, 8(56), 96013-96026. https://doi.org/10.18632/oncotarget.21629
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    Hanzouli-Ben Salah, H., Lapuyade-Lahorgue, J., Bert, J., Benoit, D., Lambin, P., Van Baardwijk, A., ... Hatt, M. (2017). A framework based on hidden Markov trees for multimodal PET/CT image co-segmentation. Medical Physics, 44(11), 5835-5848. https://doi.org/10.1002/mp.12531
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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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    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
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    O'Connor, J. P. B., Aboagye, E. O., Adams, J. E., Aerts, H. J. W. L., Barrington, S. F., Beer, A. J., ... Waterton, J. C. (2017). Imaging biomarker roadmap for cancer studies. Nature Reviews Clinical Oncology, 14(3), 169-186. https://doi.org/10.1038/nrclinonc.2016.162
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    de Jong, E. E. C., van Elmpt, W., Hoekstra, O. S., Groen, H. J. M., Smit, E. F., Boellaard, R., ... Dingemans, A-M. C. (2017). Quality assessment of positron emission tomography scans: recommendations for future multicentre trials. Acta Oncologica, 56(11), 1459-1464. https://doi.org/10.1080/0284186X.2017.1346824
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  90. 2016
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    van Kuijk, S. J. A., Gieling, R. G., Niemans, R., Lieuwes, N. G., Biemans, R., Telfer, B. A., ... Williams, K. J. (2016). The Sulfamate Small Molecule CAIX Inhibitor S4 Modulates Doxorubicin Efficacy. PLOS ONE, 11(8), [e0161040]. https://doi.org/10.1371/journal.pone.0161040
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    Mowday, A. M., Guise, C. P., Ackerley, D. F., Minton, N. P., Lambin, P., Dubois, L. J., ... Patterson, A. V. (2016). Advancing Clostridia to Clinical Trial: Past Lessons and Recent Progress. Cancers, 8(7), [63]. https://doi.org/10.3390/cancers8070063
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