TU Wien Informatics

Role

  • Learning Robust Medical Image Segmentation with Inductive Bias / 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.
    Project: MATTO-GBM (2024–2027)
  • Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge / 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
    Project: MATTO-GBM (2024–2027)
  • Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge / Bolelli, F., LUMETTI, L., 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., … Grana, C. (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
  • Investigation and benchmarking of U-Nets on prostate segmentation tasks / Bhandary, S., Kuhn, D., Babaiee, Z., Fechter, T., Benndorf, M., Zamboglou, C., Grosu, A.-L., & Grosu, R. (2023). Investigation and benchmarking of U-Nets on prostate segmentation tasks. Computerized Medical Imaging and Graphics, 107, Article 102241. https://doi.org/10.1016/j.compmedimag.2023.102241
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    Project: PersoRad (2020–2023)