Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset

Jaakko Sahlsten, Jorma Järnstedt, Joel Jaskari, Hanna Naukkarinen, Phattaranant Mahasantipiya, Arnon Charuakkra, Krista Vasankari, Ari Hietanen, Osku Sundqvist, Antti Lehtinen, Kimmo Kaski^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

7 Citations (Scopus)

95 Downloads (Pure)

2 results

Filter

Finished
XAIS/Lampinen: eXplainable AI Technologies for Segmenting 3D Imaging Data
Kaski, K. (Principal investigator), Pykälä, L. (Project Member), Saukkoriipi, M. (Project Member), Sahlsten, J. (Project Member), Jaskari, J. (Project Member), Takko, T. (Project Member), Pienimäki, P. (Project Member) & Lampinen, J. (Principal investigator)
01/01/2022 → 31/12/2024
Project: RCF Academy Project targeted call
-: IMPRESS, Louhi-Kultanen
Ila, M. (Project Member), Amano, B. (Project Member), Ma, X. (Project Member), Zaykovskaya, A. (Project Member) & Louhi-Kultanen, M. (Project Member)
01/09/2019 → 31/03/2025
Project: EU H2020 Framework program

Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset

Projects

Search results

XAIS/Lampinen: eXplainable AI Technologies for Segmenting 3D Imaging Data

-: IMPRESS, Louhi-Kultanen