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Sascha Jecklin

Showing results (1-10 of 8) with videos related to

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Journal of Imaging|October 26, 2022
X23D-Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray DataSascha Jecklin, Carla Jancik, Mazda Farshad, et al.
Computer Assisted Surgery (Abingdon, England)|June 3, 2025
SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imagingAidana Massalimova, Florentin Liebmann, Sascha Jecklin, et al.
Scientific Reports|December 13, 2025
Intraoperative 3D reconstruction from sparse arbitrarily posed real X-raysSascha Jecklin, Aidana Massalimova, Ruyi Zha, et al.
Journal of Imaging|August 30, 2021
SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D DataFlorentin Liebmann, Dominik Stütz, Daniel Suter, et al.
BMC Musculoskeletal Disorders|November 18, 2024
Spinal navigation with AI-driven 3D-reconstruction of fluoroscopy images: an ex-vivo feasibility studyDietmar Luchmann, Sascha Jecklin, Nicola A Cavalcanti, et al.
Computer Assisted Surgery (Abingdon, England)|May 31, 2025
ArthroPhase: a novel dataset and method for phase recognition in arthroscopic videoAli Bahari Malayeri, Matthias Seibold, Nicola A Cavalcanti, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|February 6, 2025
The importance of the posterior osteoligamentous complex of the lumbar spine: dogma changing biomechanical insightsMoritz Jokeit, Frédéric Cornaz, Jana F Schader, et al.
Medical Image Analysis|August 28, 2024
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy dataSascha Jecklin, Youyang Shen, Amandine Gout, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Imaging|October 26, 2022
X23D-Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray DataSascha Jecklin, Carla Jancik, Mazda Farshad, et al.
Computer Assisted Surgery (Abingdon, England)|June 3, 2025
SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imagingAidana Massalimova, Florentin Liebmann, Sascha Jecklin, et al.
Scientific Reports|December 13, 2025
Intraoperative 3D reconstruction from sparse arbitrarily posed real X-raysSascha Jecklin, Aidana Massalimova, Ruyi Zha, et al.
Journal of Imaging|August 30, 2021
SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D DataFlorentin Liebmann, Dominik Stütz, Daniel Suter, et al.
BMC Musculoskeletal Disorders|November 18, 2024
Spinal navigation with AI-driven 3D-reconstruction of fluoroscopy images: an ex-vivo feasibility studyDietmar Luchmann, Sascha Jecklin, Nicola A Cavalcanti, et al.
Computer Assisted Surgery (Abingdon, England)|May 31, 2025
ArthroPhase: a novel dataset and method for phase recognition in arthroscopic videoAli Bahari Malayeri, Matthias Seibold, Nicola A Cavalcanti, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|February 6, 2025
The importance of the posterior osteoligamentous complex of the lumbar spine: dogma changing biomechanical insightsMoritz Jokeit, Frédéric Cornaz, Jana F Schader, et al.
Medical Image Analysis|August 28, 2024
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy dataSascha Jecklin, Youyang Shen, Amandine Gout, et al.
Pageof 1