Peer-reviewed journal articles (260)
  1. 11. Foucart, A., Debeir, O., & Decaestecker, C. (2023). Evaluating participating methods in image analysis challenges: lessons from MoNuSAC 2020. Pattern recognition., 109600. doi:10.1016/j.patcog.2023.109600
  2. 12. Catteau, X., Zindy, E., Bouri, S., Noël, J. C., Salmon, I., & Decaestecker, C. (2023). Comparison Between Manual and Automated Assessment of Ki-67 in Breast Carcinoma: Test of a Simple Method in Daily Practice. Technology in cancer research & treatment, 22, 15330338231169603. doi:10.1177/15330338231169603
  3. 13. Foucart, A., Debeir, O., & Decaestecker, C. (2022). Shortcomings and areas for improvement in digital pathology image segmentation challenges. Computerized medical imaging and graphics. doi:10.1016/j.compmedimag.2022.102155
  4. 14. Lavis, P., Morra, S., Orte Cano, C., Albayrak, N., Corbiere, V., Olislagers, V., Dauby, N., Del Marmol, V., Marchant, A., Decaestecker, C., Mascart, F., De Vos, N., Van De Borne, P., Salmon, I., Remmelink, M., Parmentier, M., Cardozo, A. K., & Bondue, B. (2022). Chemerin plasma levels are increased in COVID-19 patients and are an independent risk factor of mortality. Frontiers in immunology, 13, 941663. doi:10.3389/fimmu.2022.941663
  5. 15. 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
  6. 16. Foucart, A., Debeir, O., & Decaestecker, C. (2022). Comments on “MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge”. IEEE transactions on medical imaging, 41(4), 997-999. doi:10.1109/TMI.2022.3156023
  7. 17. Racu, M.-L., Lebrun, L., Schiavo, A. A., Van Campenhout, C., De Clercq, S., Absil, L., Minguijon Perez, E., Maris, C., Decaestecker, C., Salmon, I., & D'Haene, N. (2022). The Role of SMAD4 Inactivation in Epithelial-Mesenchymal Plasticity of Pancreatic Ductal Adenocarcinoma: The Missing Link? Cancers (Basel), 14(4). doi:10.3390/cancers14040973
  8. 18. Rusu, S., Verocq, C., Trepant, A.-L., Maris, C., De Nève, N., Blanchard, O., Van Campenhout, C., De Clercq, S., Rorive, S., Cotoi, O. S., Decaestecker, C., Salmon, I., & D'Haene, N. (2021). Immunohistochemistry as an accurate tool for the assessment of BRAF V600E and TP53 mutations in primary and metastatic melanoma. Molecular and clinical oncology, 15(6), 270. doi:10.3892/mco.2021.2432
  9. 19. 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
  10. 20. Lebrun, L., Bizet, M., Melendez Asensio, B., Alexiou, B., Absil, L., Van Campenhout, C., D'Haene, N., Rorive, S., Fuks, F., Decaestecker, C., & Salmon, I. (2021). Analyses of DNA Methylation Profiling in the Diagnosis of Intramedullary Astrocytomas. Journal of neuropathology and experimental neurology, 80(7), 663-673. doi:10.1093/jnen/nlab052
  11. 21. 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
  12. 22. Rosenfeld, J., De Smet, Y., Debeir, O., & Decaestecker, C. (2021). Assessing partially ordered clustering in a multicriteria comparative context. Pattern recognition, 114, 107850. doi:10.1016/j.patcog.2021.107850
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