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Items: 1 to 20 of 37

1.

A T1 and DTI fused 3D corpus callosum analysis in MCI subjects with high and low cardiovascular risk profile.

Lao Y, Nguyen B, Tsao S, Gajawelli N, Law M, Chui H, Weiner M, Wang Y, Leporé N.

Neuroimage Clin. 2016 Dec 28;14:298-307. doi: 10.1016/j.nicl.2016.12.027.

2.

DTI Image Registration under Probabilistic Fiber Bundles Tractography Learning.

Guo Z, Wang Y, Lei T, Fan Y, Zhang X.

Biomed Res Int. 2016;2016:4674658.

3.
4.

Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields.

Hadj-Hamou M, Lorenzi M, Ayache N, Pennec X.

Front Neurosci. 2016 Jun 3;10:236. doi: 10.3389/fnins.2016.00236.

5.

Maturation Along White Matter Tracts in Human Brain Using a Diffusion Tensor Surface Model Tract-Specific Analysis.

Chen Z, Zhang H, Yushkevich PA, Liu M, Beaulieu C.

Front Neuroanat. 2016 Feb 16;10:9. doi: 10.3389/fnana.2016.00009.

6.

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

Wu G, Kim M, Wang Q, Munsell BC, Shen D.

IEEE Trans Biomed Eng. 2016 Jul;63(7):1505-16. doi: 10.1109/TBME.2015.2496253.

7.

A T1 and DTI fused 3D Corpus Callosum analysis in pre- vs. post-season contact sports players.

Lao Y, Law M, Shi J, Gajawelli N, Haas L, Wang Y, Leporé N.

Proc SPIE Int Soc Opt Eng. 2015 Jan 28;9287. pii: 92870O.

8.

Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation.

Depa M, Sabuncu MR, Holmvang G, Nezafat R, Schmidt EJ, Golland P.

Stat Atlases Comput Models Heart. 2010;6364:85-94.

9.

Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields.

Wassermann D, Ross J, Washko G, Wells WM 3rd, San Jose-Estepar R.

Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2014 Jun;2014:2729-2735.

10.

Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.

Lao Y, Wang Y, Shi J, Ceschin R, Nelson MD, Panigrahy A, Leporé N.

Brain Struct Funct. 2016 Jan;221(1):487-506. doi: 10.1007/s00429-014-0921-7.

11.

A high-resolution cardiovascular magnetic resonance diffusion tensor map from ex-vivo C57BL/6 murine hearts.

Angeli S, Befera N, Peyrat JM, Calabrese E, Johnson GA, Constantinides C.

J Cardiovasc Magn Reson. 2014 Oct 16;16:77. doi: 10.1186/s12968-014-0077-x.

12.

Deformable image registration with local rigidity constraints for cone-beam CT-guided spine surgery.

Reaungamornrat S, Wang AS, Uneri A, Otake Y, Khanna AJ, Siewerdsen JH.

Phys Med Biol. 2014 Jul 21;59(14):3761-87. doi: 10.1088/0031-9155/59/14/3761.

13.

Deformable medical image registration: a survey.

Sotiras A, Davatzikos C, Paragios N.

IEEE Trans Med Imaging. 2013 Jul;32(7):1153-90. doi: 10.1109/TMI.2013.2265603. Review.

14.

A framework for deformable image registration validation in radiotherapy clinical applications.

Varadhan R, Karangelis G, Krishnan K, Hui S.

J Appl Clin Med Phys. 2013 Jan 2;14(1):4066. doi: 10.1120/jacmp.v14i1.4066.

15.

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.

16.

Image-based characterization of thrombus formation in time-lapse DIC microscopy.

Brieu N, Navab N, Serbanovic-Canic J, Ouwehand WH, Stemple DL, Cvejic A, Groher M.

Med Image Anal. 2012 May;16(4):915-31. doi: 10.1016/j.media.2012.02.002.

17.

Spatiotemporal morphometry of adjacent tissue layers with application to the study of sulcal formation.

Rajagopalan V, Scott J, Habas PA, Kim K, Rousseau F, Glenn OA, Barkovich AJ, Studholme C.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):476-83.

18.

Optimal data-driven sparse parameterization of diffeomorphisms for population analysis.

Durrleman S, Prastawa M, Gerig G, Joshi S.

Inf Process Med Imaging. 2011;22:123-34.

19.

Multi-template tensor-based morphometry: application to analysis of Alzheimer's disease.

Koikkalainen J, Lötjönen J, Thurfjell L, Rueckert D, Waldemar G, Soininen H; Alzheimer's Disease Neuroimaging Initiative..

Neuroimage. 2011 Jun 1;56(3):1134-44. doi: 10.1016/j.neuroimage.2011.03.029.

20.

Statistical analysis of relative pose information of subcortical nuclei: application on ADNI data.

Bossa M, Zacur E, Olmos S; Alzheimer's Disease Neuroimaging Initiative..

Neuroimage. 2011 Apr 1;55(3):999-1008. doi: 10.1016/j.neuroimage.2010.12.078.

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