Articles dans des revues avec comité de lecture (134)
  1. 6. Ceranka, J., Lecouvet, F., Michoux, N., de Mey, J., Raeymaekers, H., Metens, T., & Vandemeulebroucke, J. (2023). Comparison of intra- and inter-patient intensity standardization methods for multi-parametric whole-body MRI. Biomedical Physics & Engineering Express, 9(3). doi:10.1088/2057-1976/acc80e
  2. 7. Metens, T., & Absil, J. (2022). Editorial for “Cardiac Phase and Flow Compensation Effects on REnal Flow and Microstructure AnisotroPy ( REFMAP ) MRI in Healthy Human Kidney”. Journal of magnetic resonance imaging. doi:10.1002/jmri.28510
  3. 8. Martens, C., Rovai, A., Bonatto, D., Metens, T., Debeir, O., Decaestecker, C., Goldman, S., & Van Simaeys, G. (2022). Deep Learning for Reaction-Diffusion Glioma Growth Modeling: Towards a Fully Personalized Model? Cancers (Basel), 14(10), 2530. doi:10.3390/cancers14102530
  4. 9. Martens, C., Lebrun, L., Decaestecker, C., Vandamme, T., Van Eycke, Y.-R., Rovai, A., Metens, T., Debeir, O., Goldman, S., Salmon, I., & Van Simaeys, G. (2021). Initial Condition Assessment for Reaction-Diffusion Glioma Growth Models: A Translational MRI-Histology (In)Validation Study. Tomography, 7(4), 650-674. doi:10.3390/tomography7040055
  5. 10. Martens, C., Debeir, O., Decaestecker, C., Metens, T., Lebrun, L., Leurquin-Sterk, G., Trotta, N., Goldman, S., & Van Simaeys, G. (2021). Voxelwise principal component analysis of dynamic [s-methyl-11 c]methionine pet data in glioma patients. Cancers (Basel), 13(10), 2342. doi:10.3390/cancers13102342
  6. 11. Michoux, N., Ceranka, J., Vandemeulebroucke, J., Peeters, F., Lu, P., Absil, J., Triqueneaux, P., Liu, Y., Collette, L., Willekens, I., Brussaard, C., Debeir, O., Hahn, S., Raeymaekers, H., de Mey, J., Metens, T., & Lecouvet, F. (2021). Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study. European radiology. doi:10.1007/s00330-020-07522-0
  7. 12. Ceranka, J., Verga, S., Kvasnytsia, M., Lecouvet, F., Michoux, N., de Mey, J., Raeymaekers, H., Metens, T., Absil, J., & Vandemeulebroucke, J. (2019). Multi-atlas segmentation of the skeleton from whole-body MRI-Impact of iterative background masking. Magnetic resonance in medicine. doi:10.1002/mrm.28042
  8. 13. Pineau, G., Villemonteix, T., Slama, H., Kavec, M., Balériaux, D., Metens, T., Baijot, S., Mary, A., Ramoz, N., Gorwood, P., Peigneux, P., & Massat, I. (2019). Dopamine transporter genotype modulates brain activity during a working memory task in children with ADHD. Research in developmental disabilities, 92, 103430. doi:10.1016/j.ridd.2019.103430
  9. 14. Peerboccus, M., Van Eycke, Y.-R., Gyssels, E., Verset, L., Lucchesi, P., Absil, J., Chao, S.-L., Decaestecker, C., Van Laethem, J.-L., Metens, T., & Bali, M. A. (2019). Volumetric-Based Analysis of In-Vivo and Ex-Vivo Quantitative MR Diffusion Parameters in Pancreatic Adenocarcinoma: Correlation with Pathologic Findings. Japanese Journal of Gastroenterology and Hepatology, 1(4), 1-8.
  10. 15. Ceranka, J., Verga, S., Lecouvet, F., Metens, T., De Mey, J., & Vandemeulebroucke, J. (2019). Intensity standardization of skeleton in follow-up whole-body MRI. Lecture notes in computer science, 11397 LNCS, 77-89. doi:10.1007/978-3-030-13736-6_7
  11. 16. Hahn, S., Absil, J., Debeir, O., & Metens, T. (2018). Assessment of cardiac-driven liver movements with filtered harmonic phase image representation, optical flow quantification, and motion amplification. Magnetic resonance in medicine. doi:10.1002/mrm.27596
  12. 17. Albajara Saenz, A., Villemonteix, T., Slama, H., Baijot, S., Mary, A., Balériaux, D., Metens, T., Kavec, M., Peigneux, P., & Massat, I. (2018). Relationship Between White Matter Abnormalities and Neuropsychological Measures in Children With ADHD. Journal of attention disorders, 24(7), 1020-1031. doi:10.1177/1087054718787878
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