Contributions to collective works (2)
  1. 1. Moles Lopez, X., Debeir, O., Salmon, I., & Decaestecker, C. (2014). Whole slide imaging and analysis for biomarker evaluation in digital pathology. In In: A. Méndez-Vilas (Ed.), Microscopy: advances in scientific research and education (pp. 776-787). Formatex Research Center.
  2. 2. Debeir, O., Adanja, I., Kiss, R., & Decaestecker, C. (2008). Models of cancer cell migration and cellular imaging and analysis. In In: Anja Lambrechts, Christophe Ampe (Eds), The Motile Actin System in Health and Disease (pp. 123-156). Kerala (India): Transworld Research Signpost.
    3.   Peer-reviewed journal articles (260)
  3. 1. Melchior, M., Van Eycken, M., Nicaise, C., Duquesne, T., Longueville, L., Collin, A., Decaestecker, C., Salmon, I., Delporte, C., & Soyfoo, M. S. (2025). Decreased Expression of Aquaporins as a Feature of Tubular Damage in Lupus Nephritis. Cells, 14, 380.
  4. 2. Verocq, C., Noël, J. C., Charry, M., Zindy, E., Rorive, S., Salmon, I., Decaestecker, C., & Catteau, X. (2024). Inverse correlation between the amounts of lymphocytic infiltrate and stroma in breast carcinoma. Heliyon, 10(22), e40295. doi:10.1016/j.heliyon.2024.e40295
  5. 3. Racu, M.-L., Schiavo, A. A., Van Campenhout, C., De Nève, N., Masuy, T., Maris, C., Decaestecker, C., Remmelink, M., Salmon, I., & D'Haene, N. (2024). Validation of a targeted next-generation sequencing panel for pancreatic ductal adenocarcinomas. Experimental and molecular pathology, 139, 104920. doi:10.1016/j.yexmp.2024.104920
  6. 4. Galvez Jiménez, L., & Decaestecker, C. (2024). Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology. Computers in biology and medicine, 177, 108586. doi:10.1016/j.compbiomed.2024.108586
  7. 5. Lavis, P., Pingitore, J., Doumont, G., Garabet, A., Van Simaeys, G., Lacroix, S., Passon, N., Van Heymbeek, C., De Maeseneire, C., Allard, J., Collin, A., Huaux, F., Decaestecker, C., Salmon, I., Goldman, S., Cardozo, A. K., & Bondue, B. (2023). Usefulness of FAPα assessment in bronchoalveolar lavage as a marker of fibrogenesis: results of a preclinical study and first report in patients with idiopathic pulmonary fibrosis. Respiratory research, 24(1), 254. doi:10.1186/s12931-023-02556-6
  8. 6. Cassier, P. A., Navaridas, R., Bellina, M., Rama, N., Ducarouge, B., Hernandez-Vargas, H., Delord, J. P., Lengrand, J., Paradisi, A., Fattet, L., Garin, G., Gheit, H., Dalban, C., Pastushenko, I., Neves, D., Jelin, R., Gadot, N., Braissand, N., Léon, S., Degletagne, C., Matias-Guiu, X., Devouassoux-Shisheboran, M., Mery-Lamarche, E., Allard, J., Zindy, E., Decaestecker, C., Salmon, I., Perol, D., Dolcet, X., Ray-Coquard, I., Blanpain, C., Bernet, A., & Mehlen, P. (2023). Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer. Nature (London). doi:10.1038/s41586-023-06367-z
  9. 7. Lengrand, J., Pastushenko, I., Vanuytven, S., Song, Y., Venet, D., Sarate, R. M., Bellina, M., Moers, V., Boinet, A., Sifrim, A., Rama, N., Ducarouge, B., Van Herck, J., Dubois, C., Scozzaro, S., Lemaire, S., Gieskes, S., Bonni, S., Collin, A., Braissand, N., Allard, J., Zindy, E., Decaestecker, C., Sotiriou, C., Salmon, I., Mehlen, P., Voet, T., Bernet, A., & Blanpain, C. (2023). Pharmacological targeting of netrin-1 inhibits EMT in cancer. Nature (London). doi:10.1038/s41586-023-06372-2
  10. 8. Racu, M.-L., Bernardi, D., Chaouche, A., Zindy, E., Navez, J., Loi, P., Maris, C., Closset, J., Van Laethem, J.-L., Decaestecker, C., Salmon, I., & D'Haene, N. (2023). SMAD4 Positive Pancreatic Ductal Adenocarcinomas Are Associated with Better Outcomes in Patients Receiving FOLFIRINOX-Based Neoadjuvant Therapy. Cancers (Basel), 15(15). doi:10.3390/cancers15153765
  11. 9. Lebrun, L., Absil, L., Remmelink, M., De Mendonça, R., D'Haene, N., Gaspard, N., Rusu, S., Racu, M.-L., Collin, A., Allard, J., Zindy, E., Schiavo, A. A., De Clercq, S., De Witte, O., Decaestecker, C., Lopes, M. B., & Salmon, I. (2023). SARS-Cov-2 infection and neuropathological findings: a report of 18 cases and review of the literature. Acta neuropathologica communications, 11(78). doi:10.1186/s40478-023-01566-1
  12. 10. Foucart, A., Debeir, O., & Decaestecker, C. (2023). Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology. Scientific reports, 13(1), 8614. doi:10.1038/s41598-023-35605-7
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
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