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Spinal navigation with AI-driven 3D-reconstruction of fluoroscopy images: an ex-vivo feasibility study.
BMC Musculoskelet Disord. 2024 Nov 19;25(1):925. doi: 10.1186/s12891-024-08052-2.
BMC Musculoskelet Disord. 2024.
PMID: 39558228
Free PMC article.
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data.
Jecklin S, Shen Y, Gout A, Suter D, Calvet L, Zingg L, Straub J, Cavalcanti NA, Farshad M, Fürnstahl P, Esfandiari H.
Jecklin S, et al.
Med Image Anal. 2024 Dec;98:103322. doi: 10.1016/j.media.2024.103322. Epub 2024 Aug 22.
Med Image Anal. 2024.
PMID: 39197301
Free article.
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X23D-Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data.
Jecklin S, Jancik C, Farshad M, Fürnstahl P, Esfandiari H.
Jecklin S, et al.
J Imaging. 2022 Oct 2;8(10):271. doi: 10.3390/jimaging8100271.
J Imaging. 2022.
PMID: 36286365
Free PMC article.
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SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data.
Liebmann F, Stütz D, Suter D, Jecklin S, Snedeker JG, Farshad M, Fürnstahl P, Esfandiari H.
Liebmann F, et al. Among authors: jecklin s.
J Imaging. 2021 Aug 27;7(9):164. doi: 10.3390/jimaging7090164.
J Imaging. 2021.
PMID: 34460800
Free PMC article.
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