Peer-reviewed journal articles (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.   Papers published in national and international conferences or symposium proceedings (2)

  3. 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.
  4. 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)