Data-driven shape generative model for bones via end-to-end learning with self-supervised registration and variational autoregression

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Huang, Yuan¹; Zhou, Qing²; Tang, Jisi³

Data-driven shape generative model for bones via end-to-end learning with self-supervised registration and variational autoregression

Proceedings of the 2024 International IRCOBI Conference on the Biomechanics of Injury

Affiliations

²University of Michigan Medical School, Ann Arbor, MI, USA

³School of Vehicle and Mobility at Tsinghua University, Beijing, China

¹Bioengineering College at Chongqing University, Chongqing, China
Links

URL: https://www.ircobi.org/wordpress/downloads/irc24/pdf-files/2419.pdf

Cited Works (1)

Year	Entry
2018	Wenjing Du; Jinhuan Zhang; Jingwen Hu. A method to determine cortical bone thickness of human femur and tibia using clinical CT scans. In: Proceedings of the 2018 International IRCOBI Conference on the Biomechanics of Injury. September 12-14, 2018; Athens, Greece.388-398.