Communications publiées lors de congrès ou colloques nationaux et internationaux (59)
  1. 8. 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
  2. 9. Schenkel, A., Guillaume, H.-L., & Debeir, O. (2021). 3D scanner colorization taking into account lighting problems (shadows, overexposures, lighting changes, and lack of light). Proceedings of the 24th International Conference on Cultural Heritage and New Technologies 2019 (CHNT024, 2019) CHNT24 24th Conference on Cultural Heritage and New Technologies(Nov. 2019: Vienna, Austria)
  3. 10. Rivadeneira, R. R., Sappa, A., Vintimilla, B. B., Guo, L., Hou, J., Mehri, A., Ardakani, P. B., Patel, H., Chudasama, V., Prajapati, K., Upla, K. K., Ramachandra, R., Raja, K., Busch, C., Almasri, F., Debeir, O., Nathan, S., Kansal, P., Gutierrez, N., Bardia, M., & Beksi, W. W. (2020). Thermal Image Super-Resolution Challenge - PBVS 2020. doi:10.1109/CVPRW50498.2020.00056
  4. 11. Schenkel, A., Ercek, R., & Debeir, O. (2020). 3D digitization of the Brussels City Hall and the medieval archangel Michael wind vane: architectural and archaeological exploitation. Proceedings of the 23th International Conference on Cultural Heritage and New Technologies 2018 (CHNT023, 2018) CHNT23 23th Conference on Cultural Heritage and New Technologies(Nov. 2018: Vienna, Austria)
  5. 12. 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
  6. 13. 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
  7. 14. 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
  8. 15. Almasri, F., & Debeir, O. (2018). RGB Guided Thermal Super-Resolution Enhancement. In 4th International Conference on Cloud Computing Technologies and Applications (Cloudtech) 2018. (IEEE Xplore). IEEE. doi:10.1109/CloudTech.2018.8713356
  9. 16. Almasri, F., & Debeir, O. (2018). Multimodal Sensor Fusion In Single Thermal image Super-Resolution. In 14th Asian Conference on Computer Vision (ACCV) 2018. (Lecture Notes in Computer Science (LNCS), VI). Springer. doi:10.1007/978-3-030-21074-8
  10. 17. Schenkel, A., Ercek, R., & Debeir, O. (2018). Numérisation 3D de l’Hôtel de Ville de Bruxelles et de la statue du saint Michel : exploitation architecturale et archéologique. In Studia Bruxellae: Vol. 2018/1 (N° 12) (pp. 29-36) Musées et Archives de la Ville de Bruxelles.
  11. 18. Jiang, D., Zhang, K., & Debeir, O. (2017). A Graph Based Algorithm for Star Recognition. 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (pp. 159-162). doi:10.1109/ITNEC.2017.8284929
  12. 19. Hahn, S., Gérard, M., Damien, D.-S., Absil, J., Debeir, O., & Metens, T. (2017). Analysis of abdominal movement with Phase Optical Flow: Application to Diffusion imaging. ISMRM: Magnetic Resonance in Medicine 25th Annual Meeting(22-27 April 2017: Hawai'i Convention Center 1801 Kalakaua Ave., Honolulu, HI 96815 USA)
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