Peer-reviewed journal articles (260)
  1. 259. Poortmans, J., Brauman, H., Staroukine, M., Verniory, A., Decaestecker, C., & Leclercq, R. (1990). Hormone and protein excretion responses to maximal exercise in humans. Science & sports, 5(2), 103-110. doi:10.1016/S0765-1597(05)80212-6
  2. 260. Poortmans, J., Brauman, H., Staroukine, M., Verniory, A., Decaestecker, C., & Leclercq, R. (1988). Indirect evidence of glomerular/tubular mixed-type postexercise proteinuria in healthy humans. The American journal of physiology, 254(2 Pt 2), F277-F283. doi:10.1152/ajprenal.1988.254.2.F277
    3.   Non peer-reviewed journal articles (4)
  3. 1. 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: Prepublication on arXiv:2102.01719. arXiv.org.
  4. 2. Martens, C., Debeir, O., Decaestecker, C., Metens, T., Lebrun, L., Leurquin-Sterk, G., Trotta, N., Goldman, S., & Van Simaeys, G. (2020). Voxelwise principal component analysis of dynamic [S-methyl-11C]methionine PET data in glioma patients: Prepublication on arXiv:2011.09325. arXiv.org.
  5. 3. Debeir, O., Allard, J., Decaestecker, C., & Hermand, J.-P. (2019). Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study. arXiv.org.
  6. 4. Decaestecker, C., De Clercq, S., & Salmon, I. (2018). S100A4, a key factor in glioblastoma biology. Translational cancer research, 7(S1), S71-S73. doi:10.21037/tcr.2017.12.27
    7.   Papers published in national and international conferences or symposium proceedings (37)
  7. 1. Foucart, A., Elskens, A., & Decaestecker, C. (2025). Ranking the scores of algorithms with confidence. ESANN 2025 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning(23-25 April 2025: Bruges, Belgium)
  8. 2. Galvez Jiménez, L., Franzin, A., & Decaestecker, C. (2024). Training Data Selection to Improve Multi-class Instance Segmentation in Digital Pathology. In Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (p. 27–33) ACM.
  9. 3. Foucart, A., Elskens, A., Debeir, O., & Decaestecker, C. (2024). Finding the best channel for tissue segmentation in whole-slide images. Proceedings of the 19th International Symposium on Medical Information Processing and Analysis SIPAIM(15-17/11/2023: Mexico City, Mexico) doi:10.1109/SIPAIM56729.2023.10373416
  10. 4. Elskens, A., Foucart, A., Zindy, E., Debeir, O., & Decaestecker, C. (2024). Assessing Local Descriptors for Feature-Based Registration of Whole-Slide Images. Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, SIPAIM(15-17/11/2023: Mexico City, Mexico) doi:10.1109/SIPAIM56729.2023.10373514
  11. 5. Lavis, P., Pingitore, J., Doumont, G., Gabaret, A., Van Simaeys, G., Lacroix, S., Passon, N., Van Heymbeek, C., De Maeseneire, C., Huaux, F., Decaestecker, C., Salmon, I., Cardozo, A. K., Goldman, S., & Bondue, B. (2023). Fibroblast Activation Protein Inhibitor, a Promising Radiotracer inFibrogenesis. American journal of respiratory and critical care medicine,(207), A4704. doi:https://doi.org/10.1164/ajrccm-conference.2023.207.1_MeetingAbstracts.A4704
  12. 6. Foucart, A., Debeir, O., & Decaestecker, C. (2021). Processing multi-expert annotations in digital pathology: A study of the Gleason2019 challenge. Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis. Vol. 120880X International Symposium on Medical Information Processing and Analysis(17th: Campinas, Brazil). doi:10.1117/12.2604307
  13. 7. Debeir, O., & Decaestecker, C. (2019). Data augmentation for training deep regression for in vitro cell detection. Fifth International Conference on Advances in Biomedical Engineering (ICABME) (pp. 1--3) International Conference on Advances in Biomedical Engineering (ICABME)(October 17-19, 2019: Lebanon). doi:10.1109/ICABME47164.2019.8940275
  14. 8. Foucart, A., Debeir, O., & Decaestecker, C. (2019). SNOW: Semi-Supervised, NOisy and/or Weak Data for Deep Learning in Digital Pathology. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 1869-1872) IEEE. doi:10.1109/ISBI.2019.8759545
  15. 9. Foucart, A., Debeir, O., & Decaestecker, C. (2018). Artifact Identification in Digital Pathology from Weak and Noisy Supervision with Deep Residual Networks. The 4th International Conference on Cloud Computing Technologies and Application (CloudTech'18)(Novembre 26-28, 2018: Brussels, Belgium) doi:10.1109/CloudTech.2018.8713350
  16. 10. Van Eycke, Y.-R., Allard, J., Derock, M., Salmon, I., Debeir, O., & Decaestecker, C. (2016). Image normalization for quantitative immunohistochemistry in digital pathology. In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (pp. 795 - 798) IEEE. doi:10.1109/ISBI.2016.7493386
  17. 11. Van Eycke, Y.-R., Debeir, O., Verset, L., Demetter, P., Salmon, I., & Decaestecker, C. (2015). High-Throughput Analysis of Tissue-Based Biomarkers in Digital Pathology. In EMBC'15 Proceedings (IEEE Engineering in Medicine and Biology Society) (pp. 7732 - 7735) IEEE. doi:10.1109/EMBC.2015.7320184
  18. 12. Van Eycke, Y.-R., Debeir, O., Verset, L., Demetter, P., Salmon, I., & Decaestecker, C. (2015). Automated Tissue Microarray Image Processing in Digital Pathology. In Proceedings of the Fifth joint WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux. ((8 p.)). IEEE.
  19. 13. Moles Lopez, X., Debeir, O., Maris, C., Roland, I., Salmon, I., & Decaestecker, C. (2010). Ki-67 hot-spots detection on glioblastoma tissue sections. In Proc. of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010) (pp. pp 149-152) IEEE 2010.
  20. 14. Safin, S., Defays, A., Billon, A., Decaestecker, C., & Warzée, N. (2009). Influence d’images évocatrices et distractrices sur une tâche de jugement en acoustique des salles. In IHM 2009, ACM International Conference Proceeding Series (pp. 241-248) ACM.
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