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Yves Pauchard
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2020 – today
- 2023
- [j5]Pall Asgeir Bjornsson, Alexander Baker, Ingmar Fleps, Yves Pauchard, Halldor Pálsson, Stephen J. Ferguson, Sigurdur Sigurdsson, Vilmundur Gudnason, Benedikt Helgason, Lotta Maria Ellingsen:
Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(2): 253-265 (2023) - 2022
- [i1]Pall Asgeir Bjornsson, Alexander Baker, Ingmar Fleps, Yves Pauchard, Halldor Pálsson, Stephen J. Ferguson, Sigurdur Sigurdsson, Vilmundur Gudnason, Benedikt Helgason, Lotta Maria Ellingsen:
Fast and Robust Femur Segmentation from Computed Tomography Images for Patient-Specific Hip Fracture Risk Screening. CoRR abs/2204.09575 (2022) - 2021
- [j4]Justin J. Tse, Luke Garland, Michael T. Kuczynski, Peter Salat, Yves Pauchard, Sarah L. Manske:
The application and optimization of super-resolution reconstruction for isotropic out-of-plane MRI to study the musculoskeletal system. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(4): 421-427 (2021) - 2020
- [j3]Scott C. Brunet, Michael T. Kuczynski, Jennifer L. Bhatla, Sophie Lemay, Yves Pauchard, Peter Salat, Cheryl Barnabe, Sarah L. Manske:
The utility of multi-stack alignment and 3D longitudinal image registration to assess bone remodeling in rheumatoid arthritis patients from second generation HR-pQCT scans. BMC Medical Imaging 20(1): 36 (2020)
2010 – 2019
- 2015
- [j2]Yves Pauchard, Renato J. Cintra, Arjuna Madanayake, Fábio M. Bayer:
Fast computation of residual complexity image similarity metric using low-complexity transforms. IET Image Process. 9(8): 699-708 (2015) - [c2]Oliver Dürr, Yves Pauchard, Diego Browarnik, Rebekka Axthelm, Martin Loeser:
Deep Learning on a Raspberry Pi for Real Time Face Recognition. Eurographics (Posters) 2015: 11-12
2000 – 2009
- 2009
- [c1]Yves Pauchard, Fábio J. Ayres, Steven K. Boyd:
Measuring Patient Motion in HR-PQCT. ISBI 2009: 338-341 - 2005
- [j1]Yves Pauchard, Michael R. Smith, Martin P. Mintchev:
Improving geometric accuracy in the presence of susceptibility difference artifacts produced by metallic implants in magnetic resonance imaging. IEEE Trans. Medical Imaging 24(10): 1387-1399 (2005)
Coauthor Index
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