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Items: 1 to 20 of 162

1.

A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments.

Sivera R, Delingette H, Lorenzi M, Pennec X, Ayache N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2019 May 20. pii: S1053-8119(19)30432-X. doi: 10.1016/j.neuroimage.2019.05.040. [Epub ahead of print]

PMID:
31121298
2.

3D convolutional neural networks for tumor segmentation using long-range 2D context.

Mlynarski P, Delingette H, Criminisi A, Ayache N.

Comput Med Imaging Graph. 2019 Apr;73:60-72. doi: 10.1016/j.compmedimag.2019.02.001. Epub 2019 Feb 21.

PMID:
30889541
3.

Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosis.

Wei W, Poirion E, Bodini B, Durrleman S, Colliot O, Stankoff B, Ayache N.

J Med Imaging (Bellingham). 2019 Jan;6(1):014005. doi: 10.1117/1.JMI.6.1.014005. Epub 2019 Feb 19.

PMID:
30820439
4.

The OncoAge Consortium: Linking Aging and Oncology from Bench to Bedside and Back Again.

Hofman P, Ayache N, Barbry P, Barlaud M, Bel A, Blancou P, Checler F, Chevillard S, Cristofari G, Demory M, Esnault V, Falandry C, Gilson E, Guérin O, Glaichenhaus N, Guigay J, Ilié M, Mari B, Marquette CH, Paquis-Flucklinger V, Prate F, Saintigny P, Seitz-Polsky B, Skhiri T, Van Obberghen-Schilling E, Van Obberghen E, Yvan-Charvet L.

Cancers (Basel). 2019 Feb 21;11(2). pii: E250. doi: 10.3390/cancers11020250.

5.

Learning a Probabilistic Model for Diffeomorphic Registration.

Krebs J, E Delingette H, Mailhe B, Ayache N, Mansi T.

IEEE Trans Med Imaging. 2019 Feb 4. doi: 10.1109/TMI.2019.2897112. [Epub ahead of print]

PMID:
30716033
6.

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics.

Orlhac F, Frouin F, Nioche C, Ayache N, Buvat I.

Radiology. 2019 Apr;291(1):53-59. doi: 10.1148/radiol.2019182023. Epub 2019 Jan 29.

PMID:
30694160
7.

Population-based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases.

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

Int J Numer Method Biomed Eng. 2019 Feb;35(2):e3158. doi: 10.1002/cnm.3158. Epub 2018 Nov 12.

PMID:
30239175
8.

3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation.

Zheng Q, Delingette H, Duchateau N, Ayache N.

IEEE Trans Med Imaging. 2018 Sep;37(9):2137-2148. doi: 10.1109/TMI.2018.2820742. Epub 2018 Mar 29.

PMID:
29994087
9.

Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis.

Gori P, Colliot O, Kacem LM, Worbe Y, Routier A, Poupon C, Hartmann A, Ayache N, Durrleman S.

IEEE Trans Med Imaging. 2018 Sep;37(9):2033-2043. doi: 10.1109/TMI.2018.2813062. Epub 2018 Mar 7.

PMID:
29993599
10.

Transfer Learning From Simulations on a Reference Anatomy for ECGI in Personalized Cardiac Resynchronization Therapy.

Giffard-Roisin S, Delingette H, Jackson T, Webb J, Fovargue L, Lee J, Rinaldi CA, Razavi R, Ayache N, Sermesant M.

IEEE Trans Biomed Eng. 2019 Feb;66(2):343-353. doi: 10.1109/TBME.2018.2839713. Epub 2018 May 23.

PMID:
29993409
11.

Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images.

Lozoya RC, Berte B, Cochet H, Jais P, Ayache N, Sermesant M.

IEEE Trans Biomed Eng. 2019 Jan;66(1):30-40. doi: 10.1109/TBME.2018.2818300. Epub 2018 Mar 22.

PMID:
29993400
12.

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
13.

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases.

Duchateau N, Sermesant M, Delingette H, Ayache N.

IEEE Trans Med Imaging. 2018 Mar;37(3):755-766. doi: 10.1109/TMI.2017.2714343. Epub 2017 Jun 9.

PMID:
28613164
14.

Automated analysis of human cochlea shape variability from segmented μCT images.

Demarcy T, Vandersteen C, Guevara N, Raffaelli C, Gnansia D, Ayache N, Delingette H.

Comput Med Imaging Graph. 2017 Jul;59:1-12. doi: 10.1016/j.compmedimag.2017.04.002. Epub 2017 Apr 12.

PMID:
28477465
15.

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.

16.

Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model.

Le M, Delingette H, Kalpathy-Cramer J, Gerstner ER, Batchelor T, Unkelbach J, Ayache N.

IEEE Trans Med Imaging. 2017 Mar;36(3):815-825. doi: 10.1109/TMI.2016.2626443. Epub 2016 Nov 8.

PMID:
28113925
17.

Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.

Giffard-Roisin S, Jackson T, Fovargue L, Lee J, Delingette H, Razavi R, Ayache N, Sermesant M.

IEEE Trans Biomed Eng. 2017 Sep;64(9):2206-2218. doi: 10.1109/TBME.2016.2629849. Epub 2016 Nov 16.

PMID:
28113292
18.

Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation.

Audigier C, Mansi T, Delingette H, Rapaka S, Passerini T, Mihalef V, Jolly MP, Pop R, Diana M, Soler L, Kamen A, Comaniciu D, Ayache N.

Int J Comput Assist Radiol Surg. 2017 Sep;12(9):1543-1559. doi: 10.1007/s11548-016-1517-x. Epub 2017 Jan 17.

PMID:
28097603
19.

Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements.

Le Folgoc L, Delingette H, Criminisi A, Ayache N.

Med Image Anal. 2017 Feb;36:79-97. doi: 10.1016/j.media.2016.09.008. Epub 2016 Nov 9.

PMID:
27870999
20.

Quantifying Registration Uncertainty With Sparse Bayesian Modelling.

Le Folgoc L, Delingette H, Criminisi A, Ayache N.

IEEE Trans Med Imaging. 2017 Feb;36(2):607-617. doi: 10.1109/TMI.2016.2623608. Epub 2016 Nov 1.

PMID:
27831863

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