Articoli con mandati relativi all'accesso pubblico - Nicholas AyacheUlteriori informazioni
Non disponibili pubblicamente: 7
Applications of artificial intelligence in cardiovascular imaging
M Sermesant, H Delingette, H Cochet, P Jaïs, N Ayache
Nature Reviews Cardiology 18 (8), 600-609, 2021
Mandati: European Commission, Agence Nationale de la Recherche
Decision forests for segmentation of the left atrium from 3D MRI
J Margeta, K McLeod, A Criminisi, N Ayache
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2014
Mandati: European Commission
Big data and artificial intelligence in vascular surgery: time for multidisciplinary cross-border collaboration
F Lareyre, CA Behrendt, A Chaudhuri, N Ayache, H Delingette, J Raffort
Angiology 73 (8), 697-700, 2022
Mandati: Agence Nationale de la Recherche
Simulation of Range Imaging-based Estimation of Respiratory Lung Motion
M Wilms, R Werner, M Blendowski, J Ortmüller, H Handels
Methods of Information in Medicine 53 (04), 257-263, 2014
Mandati: German Research Foundation
In vivo Contact EP Data and ex vivo MR-Based Computer Models: Registration and Model-Dependent Errors
M Pop, M Sermesant, R Flor, C Pierre, T Mansi, S Oduneye, J Barry, ...
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2013
Mandati: Canadian Institutes of Health Research
Progress on customization of predictive MRI-based macroscopic models from experimental data
M Pop, M Sermesant, S Oduneye, S Ghate, L Biswas, R Flor, ...
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2014
Mandati: Canadian Institutes of Health Research
Novel Framework to Integrate Real-Time MR-Guided EP Data with T1 Mapping-Based Computational Heart Models
S Ferguson, M Sermesant, S Oduneye, S Giffard-Roisin, M Truong, ...
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2017
Mandati: Canadian Institutes of Health Research
Disponibili pubblicamente: 118
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
Mandati: Swiss National Science Foundation, US National Institutes of Health, German …
Spherical demons: fast diffeomorphic landmark-free surface registration
BTT Yeo, MR Sabuncu, T Vercauteren, N Ayache, B Fischl, P Golland
IEEE transactions on medical imaging 29 (3), 650-668, 2009
Mandati: US National Institutes of Health
A generative model for brain tumor segmentation in multi-modal images
BH Menze, K Van Leemput, D Lashkari, MA Weber, N Ayache, P Golland
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010
Mandati: US National Institutes of Health
3-D consistent and robust segmentation of cardiac images by deep learning with spatial propagation
Q Zheng, H Delingette, N Duchateau, N Ayache
IEEE transactions on medical imaging 37 (9), 2137-2148, 2018
Mandati: British Heart Foundation, UK Medical Research Council, European Commission
A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
A Suinesiaputra, BR Cowan, AO Al-Agamy, MA Elattar, N Ayache, ...
Medical image analysis 18 (1), 50-62, 2014
Mandati: US National Institutes of Health, European Commission
Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets
C Tobon-Gomez, AJ Geers, J Peters, J Weese, K Pinto, R Karim, ...
IEEE transactions on medical imaging 34 (7), 1460-1473, 2015
Mandati: UK Engineering and Physical Sciences Research Council, National Institute …
LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm
M Lorenzi, N Ayache, GB Frisoni, X Pennec, ...
NeuroImage 81, 470-483, 2013
Mandati: US National Institutes of Health, Canadian Institutes of Health Research
Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data
S Durrleman, X Pennec, A Trouvé, J Braga, G Gerig, N Ayache
International journal of computer vision 103, 22-59, 2013
Mandati: US National Institutes of Health
Deep reinforcement learning in medical imaging: A literature review
SK Zhou, HN Le, K Luu, HV Nguyen, N Ayache
Medical image analysis 73, 102193, 2021
Mandati: US National Science Foundation
DT-REFinD: Diffusion tensor registration with exact finite-strain differential
BTT Yeo, T Vercauteren, P Fillard, JM Peyrat, X Pennec, P Golland, ...
IEEE transactions on medical imaging 28 (12), 1914-1928, 2009
Mandati: US National Institutes of Health
How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
F Orlhac, A Lecler, J Savatovski, J Goya-Outi, C Nioche, F Charbonneau, ...
European radiology 31, 2272-2280, 2021
Mandati: Agence Nationale de la Recherche
Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia
J Relan, P Chinchapatnam, M Sermesant, K Rhode, M Ginks, ...
Interface focus 1 (3), 396-407, 2011
Mandati: British Heart Foundation
Spectral log-demons: diffeomorphic image registration with very large deformations
H Lombaert, L Grady, X Pennec, N Ayache, F Cheriet
International journal of computer vision 107, 254-271, 2014
Mandati: Fonds de recherche du Québec - Santé
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