Articles dans des revues avec comité de lecture (132)
  1. 18. Drisis, S., Flamen, P., Ignatiadis, M., Metens, T., Chao, S.-L., Chintinne, M., & Lemort, M. (2018). Total choline quantification measured by 1H MR spectroscopy as early predictor of response after neoadjuvant treatment for locally advanced breast cancer: The impact of immunohistochemical status. Journal of magnetic resonance imaging,(48), 4, 982-993. doi:10.1002/jmri.26042
  2. 19. Perrotta, G., Metens, T., Absil, J., Lemort, M., & Manto, M. (2017). Absence of clinical cerebellar syndrome after serial injections of more than 20 doses of gadoterate, a macrocyclic GBCA: a monocenter retrospective study. Journal of neurology, 264(11), 2277-2283. doi:10.1007/s00415-017-8631-8
  3. 20. Chao, S.-L., Metens, T., & Lemort, M. (2017). TumourMetrics: a comprehensive clinical solution for the standardization of DCE-MRI analysis in research and routine use. Quantitative imaging in medicine and surgery, 7(5), 496-510. doi:10.21037/qims.2017.09.02
  4. 21. Campanella, S., Absil, J., Carbia Sinde, C., Schroder, E., Peigneux, P., Bourguignon, M., Petieau, M., Metens, T., Nouali, M., Goldman, S., Chéron, G., Verbanck, P., & De Tiege, X. (2017). Erratum to: Neural correlates of correct and failed response inhibition in heavy versus light social drinkers: an fMRI study during a go/no-go task by healthy participants. Brain Imaging and Behavior, 11(6), 1932. doi:10.1007/s11682-016-9664-9
  5. 22. Campanella, S., Absil, J., Carbia Sinde, C., Schroder, E., Peigneux, P., Bourguignon, M., Petieau, M., Metens, T., Nouali, M., Goldman, S., Chéron, G., Verbanck, P., & De Tiege, X. (2016). Neural correlates of correct and failed response inhibition in heavy versus light social drinkers: an fMRI study during a go/no-go task by healthy participants. Brain Imaging and Behavior. doi:10.1007/s11682-016-9654-y
  6. 23. Drisis, S., Metens, T., Ignatiadis, M., Stathopoulos, K., Chao, S.-L., & Lemort, M. (2016). Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy. European radiology, 26(5), 1474-1484. doi:10.1007/s00330-015-3948-0
  7. 24. Lysandropoulos, A., Van Hecke, W., Absil, J., Metens, T., Mavroudakis, N., Guisset, F., Van Vlierberghe, E., Smeets, D., David, P., & Maertens, A. (2016). Quantifying brain volumes for Multiple Sclerosis patients follow-up in clinical practice - comparison of 1.5 and 3 Tesla magnetic resonance imaging. Brain and Behavior, 6(2), 1-8. doi:10.1002/brb3.422
  8. 25. Metens, T., Absil, J., Denolin, V., Bali, M. A., & Matos Pinto De Almeida, C. (2015). Liver apparent diffusion coefficient repeatability with individually predetermined optimal cardiac timing and artifact elimination by signal filtering. Journal of magnetic resonance imaging. doi:10.1002/jmri.25089
  9. 26. El Bouchaibi, S., Coenegrachts, K., Bali, M. A., Absil, J., Metens, T., & Matos Pinto De Almeida, C. (2015). Focal liver lesion detection and characterization: Comparison of respiratory-triggering, triggering and tracking navigator and tracking-only navigator in diffusion-weighted imaging. European journal of radiology, 84(10), 1857-1865. doi:10.1016/j.ejrad.2015.06.018
  10. 27. Pereira, J., Rosado, E., Bali, M. A., Metens, T., & Chao, S.-L. (2015). Pancreatic neuroendocrine tumors: correlation between histogram analysis of apparent diffusion coefficient maps and tumor grade. Abdominal imaging, 40(8), 3122-3128. doi:10.1007/s00261-015-0524-7
  11. 28. Mine, B., Pezzullo, M., Roque, G., David, P., Metens, T., & Lubicz, B. (2015). Detection and characterization of unruptured intracranial aneurysms: Comparison of 3T MRA and DSA. Journal of neuroradiology, 42(3), 162-168. doi:10.1016/j.neurad.2014.08.002
  12. 29. Villemonteix, T., De Brito, S., Slama, H., Kavec, M., Balériaux, D., Metens, T., Baijot, S., Mary, A., Peigneux, P., & Massat, I. (2015). Grey matter volume differences associated with gender in children with attention-deficit / hyperactivity disorder: a voxel-based morphometry study. Developmental cognitive neuroscience. doi:10.1016/j.dcn.2015.06.001
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