Burdin V - Search Results

1

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders.

Conze PH, Brochard S, Burdin V, Sheehan FT, Pons C. Conze PH, et al. Among authors: burdin v. Comput Med Imaging Graph. 2020 Jul;83:101733. doi: 10.1016/j.compmedimag.2020.101733. Epub 2020 May 6. Comput Med Imaging Graph. 2020. PMID: 32505943 Free PMC article.

2

3D geometrical features of anatomic structures: the example of the ulna and radius bones.

Roux C, Burdin V, Schütte-Felsche W, Lefèvre C. Roux C, et al. Among authors: burdin v. Comput Med Imaging Graph. 1993 Jul-Oct;17(4-5):381-6. doi: 10.1016/0895-6111(93)90032-i. Comput Med Imaging Graph. 1993. PMID: 8306313

3

Difference between palpation and optoelectronics recording of scapular motion.

Lempereur M, Brochard S, Burdin V, Rémy-néris O. Lempereur M, et al. Among authors: burdin v. Comput Methods Biomech Biomed Engin. 2010 Feb;13(1):49-57. doi: 10.1080/10255842.2010.491955. Comput Methods Biomech Biomed Engin. 2010. PMID: 19544114

4

In vivo estimation of the glenohumeral joint centre by functional methods: accuracy and repeatability assessment.

Lempereur M, Leboeuf F, Brochard S, Rousset J, Burdin V, Rémy-Néris O. Lempereur M, et al. Among authors: burdin v. J Biomech. 2010 Jan 19;43(2):370-4. doi: 10.1016/j.jbiomech.2009.09.029. Epub 2009 Oct 28. J Biomech. 2010. PMID: 19875120

5

Detection of incoherent joint state due to inaccurate bone motion estimation.

Schwartz C, Leboeuf F, Rémy-Néris O, Brochard S, Lempereur M, Burdin V. Schwartz C, et al. Among authors: burdin v. Comput Methods Biomech Biomed Engin. 2013;16(2):165-74. doi: 10.1080/10255842.2011.613379. Epub 2011 Oct 4. Comput Methods Biomech Biomed Engin. 2013. PMID: 21970559 Free article.

6

Subject-specific shoulder muscle attachment region prediction using statistical shape models: A validity study.

Salhi A, Burdin V, Mutsvangwa T, Sivarasu S, Brochard S, Borotikar B. Salhi A, et al. Among authors: burdin v. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1640-1643. doi: 10.1109/EMBC.2017.8037154. Annu Int Conf IEEE Eng Med Biol Soc. 2017. PMID: 29060198

7

Dynamic MRI to quantify musculoskeletal motion: A systematic review of concurrent validity and reliability, and perspectives for evaluation of musculoskeletal disorders.

Borotikar B, Lempereur M, Lelievre M, Burdin V, Ben Salem D, Brochard S. Borotikar B, et al. Among authors: burdin v. PLoS One. 2017 Dec 12;12(12):e0189587. doi: 10.1371/journal.pone.0189587. eCollection 2017. PLoS One. 2017. PMID: 29232401 Free PMC article. Review.

8

Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability.

Pons C, Borotikar B, Garetier M, Burdin V, Ben Salem D, Lempereur M, Brochard S. Pons C, et al. Among authors: burdin v. PLoS One. 2018 Nov 29;13(11):e0207847. doi: 10.1371/journal.pone.0207847. eCollection 2018. PLoS One. 2018. PMID: 30496308 Free PMC article.

9

Statistical Shape Modeling Approach to Predict Missing Scapular Bone.

Salhi A, Burdin V, Boutillon A, Brochard S, Mutsvangwa T, Borotikar B. Salhi A, et al. Among authors: burdin v. Ann Biomed Eng. 2020 Jan;48(1):367-379. doi: 10.1007/s10439-019-02354-6. Epub 2019 Sep 11. Ann Biomed Eng. 2020. PMID: 31512013

10

Clinical relevance of augmented statistical shape model of the scapula in the glenoid region.

Salhi A, Burdin V, Brochard S, Mutsvangwa TE, Borotikar B. Salhi A, et al. Among authors: burdin v. Med Eng Phys. 2020 Feb;76:88-94. doi: 10.1016/j.medengphy.2019.11.007. Epub 2020 Jan 3. Med Eng Phys. 2020. PMID: 31902570

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