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Items: 1 to 20 of 81

1.

Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data.

Durrleman S, Pennec X, Trouvé A, Braga J, Gerig G, Ayache N.

Int J Comput Vis. 2013 May;103(1):22-59.

2.

Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration.

Durrleman S, Pennec X, Trouvé A, Ayache N, Braga J.

J Hum Evol. 2012 Jan;62(1):74-88. doi: 10.1016/j.jhevol.2011.10.004. Epub 2011 Dec 2.

PMID:
22137587
3.

Building Spatiotemporal Anatomical Models using Joint 4-D Segmentation, Registration, and Subject-Specific Atlas Estimation.

Prastawa M, Awate SP, Gerig G.

Proc Workshop Math Methods Biomed Image Analysis. 2012:49-56.

4.

Analysis of longitudinal shape variability via subject specific growth modeling.

Fishbaugh J, Prastawa M, Durrleman S, Piven J, Gerig G; IBIS Network.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):731-8.

5.

Subject-specific prediction using nonlinear population modeling: application to early brain maturation from DTI.

Sadeghi N, Fletcher PT, Prastawa M, Gilmore JH, Gerig G.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):33-40.

6.

Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets.

Durrleman S, Pennec X, Trouvé A, Gerig G, Ayache N.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):297-304.

7.

Longitudinal modeling of appearance and shape and its potential for clinical use.

Gerig G, Fishbaugh J, Sadeghi N.

Med Image Anal. 2016 Oct;33:114-21. doi: 10.1016/j.media.2016.06.014. Epub 2016 Jun 15.

PMID:
27344938
8.

Estimation of smooth growth trajectories with controlled acceleration from time series shape data.

Fishbaugh J, Durrleman S, Gerig G.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):401-8.

9.

Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain.

Sadeghi N, Prastawa M, Fletcher PT, Wolff J, Gilmore JH, Gerig G.

Neuroimage. 2013 Mar;68:236-47. doi: 10.1016/j.neuroimage.2012.11.040. Epub 2012 Dec 9.

10.

A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood.

Aubert-Broche B, Fonov VS, García-Lorenzo D, Mouiha A, Guizard N, Coupé P, Eskildsen SF, Collins DL.

Neuroimage. 2013 Nov 15;82:393-402. doi: 10.1016/j.neuroimage.2013.05.065. Epub 2013 May 26.

PMID:
23719155
13.

Group Testing for Longitudinal Data.

Hong Y, Singh N, Kwitt R, Niethammer M.

Inf Process Med Imaging. 2015;24:139-51.

PMID:
26221671
14.

Capturing large shape variations of liver using population-based statistical shape models.

Foruzan AH, Chen YW, Hori M, Sato Y, Tomiyama N.

Int J Comput Assist Radiol Surg. 2014 Nov;9(6):967-77. doi: 10.1007/s11548-014-1000-5. Epub 2014 Apr 20.

PMID:
24748207
15.

SPATIOTEMPORAL MODELING OF DISCRETE-TIME DISTRIBUTION-VALUED DATA APPLIED TO DTI TRACT EVOLUTION IN INFANT NEURODEVELOPMENT.

Sharma A, Fletcher PT, Gilmore JH, Escolar ML, Gupta A, Styner M, Gerig G.

Proc IEEE Int Symp Biomed Imaging. 2013 Dec 31;2013:684-687.

16.

Spatiotemporal normalization for longitudinal analysis of gray matter atrophy in frontotemporal dementia.

Avants B, Anderson C, Grossman M, Gee JC.

Med Image Comput Comput Assist Interv. 2007;10(Pt 2):303-10.

PMID:
18044582
17.

A generalized learning based framework for fast brain image registration.

Kim M, Wu G, Yap PT, Shen D.

Med Image Comput Comput Assist Interv. 2010;13(Pt 2):306-14.

18.

Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.

Paciorek CJ, Liu Y; HEI Health Review Committee.

Res Rep Health Eff Inst. 2012 May;(167):5-83; discussion 85-91.

PMID:
22838153
19.

Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents.

Durrleman S, Fillard P, Pennec X, Trouvé A, Ayache N.

Neuroimage. 2011 Apr 1;55(3):1073-90. doi: 10.1016/j.neuroimage.2010.11.056. Epub 2010 Nov 29.

PMID:
21126594
20.

STATISTICAL GROWTH MODELING OF LONGITUDINAL DT-MRI FOR REGIONAL CHARACTERIZATION OF EARLY BRAIN DEVELOPMENT.

Sadeghi N, Prastawa M, Fletcher PT, Gilmore JH, Lin W, Gerig G.

Proc IEEE Int Symp Biomed Imaging. 2012:1507-1510.

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