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

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XAIS/Lampinen: eXplainable AI Technologies for Segmenting 3D Imaging Data
Jaskari, J. (Project Member), Sahlsten, J. (Project Member), Pykälä, L. (Project Member), Saukkoriipi, M. (Project Member), Takko, T. (Project Member) & Kaski, K. (Principal investigator)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
IMPRESS: Integration of efficient downstreaM PRocessEs for Sugars and Sugar alcohols
Louhi-Kultanen, M. (Principal investigator), Zaykovskaya, A. (Project Member), Ila, M. (Project Member) & Amano, B. (Project Member)
01/09/2019 → 29/02/2024
Project: EU: Framework programmes funding

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

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

IMPRESS: Integration of efficient downstreaM PRocessEs for Sugars and Sugar alcohols