Wissenschaftliche Artikel

Bolelli, F., Luca Lumetti, van Nistelrooij, N., Vinayahalingam, S., Di Bartolomeo, M., Marchesini, K., Pellacani, A., Candeloro, E., Rosati, G., Xi, T., Isensee, F., Kirchhoff, Y., Krämer, L., Rokuss, M., Ulrich, C., Maier-Hein, K., Jiang, Y., Liu, Y., Wang, L., … Costantino Grana. (2026). Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge. Medical Image Analysis, 112, Article 104095. https://doi.org/10.1016/j.media.2026.104095 ( reposiTUm)

Beiträge in Tagungsbänden

Bhandary, S., Kuhn, D., Babaiee, Z., Fechter, T., Grosu, A.-L., & Grosu, R. (2026). Learning Robust Medical Image Segmentation with Inductive Bias. In Medical Imaging with Deep Learning : MIDL 2026 (pp. 1–19). PMLR. ( reposiTUm)
Babaiee, Z., Mohseni Kiasari, P., Rus, D., & Grosu, R. (2025). The Master Key Filters Hypothesis: Deep Filters Are General. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (pp. 1809–1816). AAAI Press. https://doi.org/10.1609/aaai.v39i2.32175 ( reposiTUm)
Babaiee, Z., Mohseni Kiasari, P., Rus, D., & Grosu, R. (2024). Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. In 2024 IEEE Winter Conference on Applications of Computer Vision (pp. 8216–8225). https://doi.org/10.1109/WACV57701.2024.00803 ( reposiTUm)
Babaiee, Z., Kiasari, P., Rus, D., & Grosu, R. (2024). We Need Far Fewer Unique Filters Than We Thought. In NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning. SciForDL’24, Vancouver, Canada. ( reposiTUm)