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Items: 1 to 20 of 89

1.

Low-dimensional representation of cardiac motion using Barycentric Subspaces: A new group-wise paradigm for estimation, analysis, and reconstruction.

Rohé MM, Sermesant M, Pennec X.

Med Image Anal. 2018 Apr;45:1-12. doi: 10.1016/j.media.2017.12.008. Epub 2017 Dec 23.

PMID:
29324241
2.

Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models.

Molléro R, Pennec X, Delingette H, Garny A, Ayache N, Sermesant M.

Biomech Model Mechanobiol. 2018 Feb;17(1):285-300. doi: 10.1007/s10237-017-0960-0. Epub 2017 Sep 11.

PMID:
28894984
3.

Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Rodriguez-Florez N, Bruse JL, Borghi A, Vercruysse H, Ong J, James G, Pennec X, Dunaway DJ, Jeelani NUO, Schievano S.

Int J Comput Assist Radiol Surg. 2017 Oct;12(10):1739-1749. doi: 10.1007/s11548-017-1614-5. Epub 2017 May 26.

4.

Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity.

Khanal B, Ayache N, Pennec X.

Front Neurosci. 2017 Mar 22;11:132. doi: 10.3389/fnins.2017.00132. eCollection 2017.

5.

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches.

Bruse JL, Zuluaga MA, Khushnood A, McLeod K, Ntsinjana HN, Hsia TY, Sermesant M, Pennec X, Taylor AM, Schievano S.

IEEE Trans Biomed Eng. 2017 Oct;64(10):2373-2383. doi: 10.1109/TBME.2017.2655364. Epub 2017 Feb 16.

PMID:
28221991
6.

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.

Suinesiaputra A, Ablin P, Alba X, Alessandrini M, Allen J, Bai W, Cimen S, Claes P, Cowan BR, D'hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I, Parajali N, Pennec X, Pereanez M, Pinto C, Piras P, Rohe MM, Rueckert D, Saring D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P.

IEEE J Biomed Health Inform. 2017 Jan 17. doi: 10.1109/JBHI.2017.2652449. [Epub ahead of print]

PMID:
28103561
7.

How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function.

Bruse JL, Khushnood A, McLeod K, Biglino G, Sermesant M, Pennec X, Taylor AM, Hsia TY, Schievano S; Modeling of Congenital Hearts Alliance Collaborative Group.

J Thorac Cardiovasc Surg. 2017 Feb;153(2):418-427. doi: 10.1016/j.jtcvs.2016.09.018. Epub 2016 Sep 22.

PMID:
27776913
8.

Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes.

Bruse JL, Cervi E, McLeod K, Biglino G, Sermesant M, Pennec X, Taylor AM, Schievano S, Hsia TY; Modeling of Congenital Hearts Alliance (MOCHA) Collaborative Group.

Ann Thorac Surg. 2017 Feb;103(2):645-654. doi: 10.1016/j.athoracsur.2016.06.041. Epub 2016 Sep 1.

PMID:
27592606
9.

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. eCollection 2016.

10.

A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta.

Bruse JL, McLeod K, Biglino G, Ntsinjana HN, Capelli C, Hsia TY, Sermesant M, Pennec X, Taylor AM, Schievano S; Modeling of Congenital Hearts Alliance (MOCHA) Collaborative Group.

BMC Med Imaging. 2016 May 31;16(1):40. doi: 10.1186/s12880-016-0142-z.

11.

A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease.

Khanal B, Lorenzi M, Ayache N, Pennec X.

Neuroimage. 2016 Jul 1;134:35-52. doi: 10.1016/j.neuroimage.2016.03.061. Epub 2016 Apr 1.

PMID:
27039699
12.

Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.

Cash DM, Frost C, Iheme LO, Ünay D, Kandemir M, Fripp J, Salvado O, Bourgeat P, Reuter M, Fischl B, Lorenzi M, Frisoni GB, Pennec X, Pierson RK, Gunter JL, Senjem ML, Jack CR Jr, Guizard N, Fonov VS, Collins DL, Modat M, Cardoso MJ, Leung KK, Wang H, Das SR, Yushkevich PA, Malone IB, Fox NC, Schott JM, Ourselin S.

Neuroimage. 2015 Dec;123:149-64. doi: 10.1016/j.neuroimage.2015.07.087. Epub 2015 Aug 11.

13.

Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease.

Lorenzi M, Ayache N, Pennec X; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neuroimage. 2015 Jul 15;115:224-34. doi: 10.1016/j.neuroimage.2015.04.051. Epub 2015 May 8.

PMID:
25963734
14.

Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics.

McLeod K, Sermesant M, Beerbaum P, Pennec X.

IEEE Trans Med Imaging. 2015 Feb 19. [Epub ahead of print]

PMID:
25706580
15.

A biophysical model of shape changes due to atrophy in the brain with Alzheimer's disease.

Khanal B, Lorenzi M, Ayache N, Pennec X.

Med Image Comput Comput Assist Interv. 2014;17(Pt 2):41-8.

PMID:
25485361
16.

Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images.

Lorenzi M, Pennec X, Frisoni GB, Ayache N; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2015 Jan;36 Suppl 1:S42-52. doi: 10.1016/j.neurobiolaging.2014.07.046. Epub 2014 Sep 6.

PMID:
25311276
17.

Spatio-temporal dimension reduction of cardiac motion for group-wise analysis and statistical testing.

McLeod K, Seiler C, Sermnesant M, Pennec X.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):501-8.

PMID:
24579178
18.

Sparse scale-space decomposition of volume changes in deformations fields.

Lorenzi M, Menze BH, Niethammer M, Ayache N, Pennec X; Alzheimers Disease Neuroimaging Initiative.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):328-35.

PMID:
24579157
19.

Improving DTI resolution from a single clinical acquisition: a statistical approach using spatial prior.

Gupta V, Ayache N, Pennec X.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):477-84.

PMID:
24505796
20.

Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images.

Guibert R, McLeod K, Caiazzo A, Mansi T, Fernández MA, Sermesant M, Pennec X, Vignon-Clementel IE, Boudjemline Y, Gerbeau JF.

Med Image Anal. 2014 Jan;18(1):63-82. doi: 10.1016/j.media.2013.09.003. Epub 2013 Sep 29. Erratum in: Med Image Anal. 2014 Feb;18(2):433.

PMID:
24148257

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