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Nicholas Ayache

Showing results (41-50 of 187) with videos related to

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Neuroimage|October 25, 2019
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging dataClément Abi Nader, Nicholas Ayache, Philippe Robert, et al.
Frontiers in Neuroscience|July 5, 2016
Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity FieldsMehdi Hadj-Hamou, Marco Lorenzi, Nicholas Ayache, et al.
Medical Image Analysis|November 22, 2016
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacementsLoïc Le Folgoc, Hervé Delingette, Antonio Criminisi, et al.
Neurobiology of Aging|October 15, 2014
Disentangling normal aging from Alzheimer's disease in structural magnetic resonance imagesMarco Lorenzi, Xavier Pennec, Giovanni B Frisoni, et al.
Neuroimage|October 27, 2004
Expert knowledge-guided segmentation system for brain MRIAlain Pitiot, Hervé Delingette, Paul M Thompson, et al.
IEEE Transactions on Medical Imaging|November 11, 2016
Quantifying Registration Uncertainty With Sparse Bayesian ModellingLoic Le Folgoc, Herve Delingette, Antonio Criminisi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 7, 2007
Automatic segmentation of bladder and prostate using coupled 3D deformable modelsMaría Jimena Costa, Hervé Delingette, Sébastien Novellas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Mapping the effects of Abeta1-42 levels on the longitudinal changes in healthy aging: hierarchical modeling based on stationary velocity fieldsMarco Lorenzi, Nicholas Ayache, Giovanni B Frisoni, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Sparse Bayesian registrationLoïc Le Folgoc, Hervé Delingette, Antonio Criminisi, et al.
Journal of Human Evolution|December 6, 2011
Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registrationStanley Durrleman, Xavier Pennec, Alain Trouvé, et al.
Pageof 19

Showing results (41-50 of 187) with videos related to

Sort By:
Pageof 19
Neuroimage|October 25, 2019
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging dataClément Abi Nader, Nicholas Ayache, Philippe Robert, et al.
Frontiers in Neuroscience|July 5, 2016
Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity FieldsMehdi Hadj-Hamou, Marco Lorenzi, Nicholas Ayache, et al.
Medical Image Analysis|November 22, 2016
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacementsLoïc Le Folgoc, Hervé Delingette, Antonio Criminisi, et al.
Neurobiology of Aging|October 15, 2014
Disentangling normal aging from Alzheimer's disease in structural magnetic resonance imagesMarco Lorenzi, Xavier Pennec, Giovanni B Frisoni, et al.
Neuroimage|October 27, 2004
Expert knowledge-guided segmentation system for brain MRIAlain Pitiot, Hervé Delingette, Paul M Thompson, et al.
IEEE Transactions on Medical Imaging|November 11, 2016
Quantifying Registration Uncertainty With Sparse Bayesian ModellingLoic Le Folgoc, Herve Delingette, Antonio Criminisi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 7, 2007
Automatic segmentation of bladder and prostate using coupled 3D deformable modelsMaría Jimena Costa, Hervé Delingette, Sébastien Novellas, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 15, 2011
Mapping the effects of Abeta1-42 levels on the longitudinal changes in healthy aging: hierarchical modeling based on stationary velocity fieldsMarco Lorenzi, Nicholas Ayache, Giovanni B Frisoni, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Sparse Bayesian registrationLoïc Le Folgoc, Hervé Delingette, Antonio Criminisi, et al.
Journal of Human Evolution|December 6, 2011
Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registrationStanley Durrleman, Xavier Pennec, Alain Trouvé, et al.
Pageof 19