AImageLab publications export - 3 publications; search=#foundation-models

Miccolis, F., Ficarra, E., & Lovino, M. (2026). Practical guidelines for multiple instance learning in computational pathology: how embedding choice impacts overall survival prediction. FRONTIERS IN BIOINFORMATICS. https://doi.org/10.3389/fbinf.2026.1809049

Xing, S., Peruzzo, E., Sangineto, E., & Sebe, N. (2025). From One to Many Lorikeets: Discovering Image Analogies in the CLIP Space. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78189-6_25

Corso, G., Lovino, M., Akpinar, R., Di Tommaso, L., Ficarra, E., & Ranzini, M. (2025). Foundation Models for Hepatocellular Carcinoma: Challenges in Generalization under Data Scarcity. International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN64981.2025.11228716