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Items: 1 to 20 of 64

1.

Gray Matter Segmentation of the Spinal Cord with Active Contours in MR Images.

Datta E, Papinutto N, Schlaeger R, Zhu A, Carballido-Gamio J, Henry RG.

Neuroimage. 2016 Aug 2. pii: S1053-8119(16)30376-7. doi: 10.1016/j.neuroimage.2016.07.062. [Epub ahead of print]

PMID:
27495383
2.

Quantitative assessment of morphology, T, and T2 of shoulder cartilage using MRI.

Nardo L, Carballido-Gamio J, Tang S, Lai A, Krug R.

Eur Radiol. 2016 Mar 18. [Epub ahead of print]

PMID:
26993651
3.

Automatic multi-parametric quantification of the proximal femur with quantitative computed tomography.

Carballido-Gamio J, Bonaretti S, Saeed I, Harnish R, Recker R, Burghardt AJ, Keyak JH, Harris T, Khosla S, Lang TF.

Quant Imaging Med Surg. 2015 Aug;5(4):552-68. doi: 10.3978/j.issn.2223-4292.2015.08.02.

4.

Validation of bone marrow fat quantification in the presence of trabecular bone using MRI.

Gee CS, Nguyen JT, Marquez CJ, Heunis J, Lai A, Wyatt C, Han M, Kazakia G, Burghardt AJ, Karampinos DC, Carballido-Gamio J, Krug R.

J Magn Reson Imaging. 2015 Aug;42(2):539-44. doi: 10.1002/jmri.24795. Epub 2014 Nov 25.

5.

Variable flip angle three-dimensional fast spin-echo sequence combined with outer volume suppression for imaging trabecular bone structure of the proximal femur.

Han M, Chiba K, Banerjee S, Carballido-Gamio J, Krug R.

J Magn Reson Imaging. 2015 May;41(5):1300-10. doi: 10.1002/jmri.24673. Epub 2014 Jun 23.

6.

Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.

Yang CC, Nagarajan MB, Huber MB, Carballido-Gamio J, Bauer JS, Baum T, Eckstein F, Lochmüller E, Majumdar S, Link TM, Wismüller A.

J Electron Imaging. 2014 Feb 4;23(1):013013.

7.

The influence of disuse on bone microstructure and mechanics assessed by HR-pQCT.

Kazakia GJ, Tjong W, Nirody JA, Burghardt AJ, Carballido-Gamio J, Patsch JM, Link T, Feeley BT, Ma CB.

Bone. 2014 Jun;63:132-40. doi: 10.1016/j.bone.2014.02.014. Epub 2014 Mar 3.

8.

Structural analysis of cortical porosity applied to HR-pQCT data.

Tjong W, Nirody J, Burghardt AJ, Carballido-Gamio J, Kazakia GJ.

Med Phys. 2014 Jan;41(1):013701. doi: 10.1118/1.4851575.

9.

Spatial heterogeneity in the response of the proximal femur to two lower-body resistance exercise regimens.

Lang TF, Saeed IH, Streeper T, Carballido-Gamio J, Harnish RJ, Frassetto LA, Lee SM, Sibonga JD, Keyak JH, Spiering BA, Grodsinsky CM, Bloomberg JJ, Cavanagh PR.

J Bone Miner Res. 2014 Jun;29(6):1337-45. doi: 10.1002/jbmr.2155.

10.

Quantitative assessment of fat infiltration in the rotator cuff muscles using water-fat MRI.

Nardo L, Karampinos DC, Lansdown DA, Carballido-Gamio J, Lee S, Maroldi R, Ma CB, Link TM, Krug R.

J Magn Reson Imaging. 2014 May;39(5):1178-85. doi: 10.1002/jmri.24278. Epub 2013 Sep 24.

11.

Structural patterns of the proximal femur in relation to age and hip fracture risk in women.

Carballido-Gamio J, Harnish R, Saeed I, Streeper T, Sigurdsson S, Amin S, Atkinson EJ, Therneau TM, Siggeirsdottir K, Cheng X, Melton LJ 3rd, Keyak JH, Gudnason V, Khosla S, Harris TB, Lang TF.

Bone. 2013 Nov;57(1):290-9. doi: 10.1016/j.bone.2013.08.017. Epub 2013 Aug 25.

12.

Computational anatomy in the study of bone structure.

Carballido-Gamio J, Nicolella DP.

Curr Osteoporos Rep. 2013 Sep;11(3):237-45. doi: 10.1007/s11914-013-0148-1. Review.

PMID:
23722733
13.

Proximal femoral density distribution and structure in relation to age and hip fracture risk in women.

Carballido-Gamio J, Harnish R, Saeed I, Streeper T, Sigurdsson S, Amin S, Atkinson EJ, Therneau TM, Siggeirsdottir K, Cheng X, Melton LJ 3rd, Keyak J, Gudnason V, Khosla S, Harris TB, Lang TF.

J Bone Miner Res. 2013 Mar;28(3):537-46. doi: 10.1002/jbmr.1802.

14.

Correlation of magnetic resonance imaging-based knee cartilage T2 measurements and focal knee lesions with body mass index: thirty-six-month followup data from a longitudinal, observational multicenter study.

Baum T, Joseph GB, Nardo L, Virayavanich W, Arulanandan A, Alizai H, Carballido-Gamio J, Nevitt MC, Lynch J, McCulloch CE, Link TM.

Arthritis Care Res (Hoboken). 2013 Jan;65(1):23-33. doi: 10.1002/acr.21741.

15.

Baseline mean and heterogeneity of MR cartilage T2 are associated with morphologic degeneration of cartilage, meniscus, and bone marrow over 3 years--data from the Osteoarthritis Initiative.

Joseph GB, Baum T, Alizai H, Carballido-Gamio J, Nardo L, Virayavanich W, Lynch JA, Nevitt MC, McCulloch CE, Majumdar S, Link TM.

Osteoarthritis Cartilage. 2012 Jul;20(7):727-35. doi: 10.1016/j.joca.2012.04.003. Epub 2012 Apr 11.

16.

Characterization of the regional distribution of skeletal muscle adipose tissue in type 2 diabetes using chemical shift-based water/fat separation.

Karampinos DC, Baum T, Nardo L, Alizai H, Yu H, Carballido-Gamio J, Yap SP, Shimakawa A, Link TM, Majumdar S.

J Magn Reson Imaging. 2012 Apr;35(4):899-907. doi: 10.1002/jmri.23512. Epub 2011 Nov 29.

17.

Longitudinal analysis of T1ρ and T2 quantitative MRI of knee cartilage laminar organization following microfracture surgery.

Theologis AA, Schairer WW, Carballido-Gamio J, Majumdar S, Li X, Ma CB.

Knee. 2012 Oct;19(5):652-7. doi: 10.1016/j.knee.2011.09.004. Epub 2011 Oct 22.

18.

Association of magnetic resonance imaging-based knee cartilage T2 measurements and focal knee lesions with knee pain: data from the Osteoarthritis Initiative.

Baum T, Joseph GB, Arulanandan A, Nardo L, Virayavanich W, Carballido-Gamio J, Nevitt MC, Lynch J, McCulloch CE, Link TM.

Arthritis Care Res (Hoboken). 2012 Feb;64(2):248-55. doi: 10.1002/acr.20672.

19.

Changes in knee cartilage T2 values over 24 months in subjects with and without risk factors for knee osteoarthritis and their association with focal knee lesions at baseline: data from the osteoarthritis initiative.

Baum T, Stehling C, Joseph GB, Carballido-Gamio J, Schwaiger BJ, Müller-Höcker C, Nevitt MC, Lynch J, McCulloch CE, Link TM.

J Magn Reson Imaging. 2012 Feb;35(2):370-8. doi: 10.1002/jmri.22834. Epub 2011 Oct 10.

20.

Texture analysis of cartilage T2 maps: individuals with risk factors for OA have higher and more heterogeneous knee cartilage MR T2 compared to normal controls--data from the osteoarthritis initiative.

Joseph GB, Baum T, Carballido-Gamio J, Nardo L, Virayavanich W, Alizai H, Lynch JA, McCulloch CE, Majumdar S, Link TM.

Arthritis Res Ther. 2011;13(5):R153. doi: 10.1186/ar3469. Epub 2011 Sep 20.

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