Articles dans des revues avec comité de lecture (1)
  1. 1. 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
    2.   Communications publiées lors de congrès ou colloques nationaux et internationaux (2)
  2. 1. 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.
  3. 2. Galvez Jiménez, L., Dierckx, L., Amodei, M., Razavi Khosroshahi, H., Chidambaran, N., Ho, A.-T. P., & Franzin, A. (2023). Computational Evaluation of the Combination of Semi-Supervised and Active Learning for Histopathology Image Segmentation with Missing Annotations. 2nd Workshop on Computer Vision for Automated Medical Diagnosis(2023: Paris, France)