Articles with public access mandates - Xavier PennecLearn more
Not available anywhere: 1
Coupled level set segmentation using a point-based statistical shape model relying on correspondence probabilities
H Hufnagel, J Ehrhardt, X Pennec, A Schmidt-Richberg, H Handels
Medical Imaging 2010: Image Processing 7623, 407-414, 2010
Mandates: German Research Foundation
Available somewhere: 97
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
Mandates: British Heart Foundation
SVF-Net: learning deformable image registration using shape matching
MM Rohé, M Datar, T Heimann, M Sermesant, X Pennec
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Mandates: Helmholtz Association
Benchmarking framework for myocardial tracking and deformation algorithms: An open access database
C Tobon-Gomez, M De Craene, K Mcleod, L Tautz, W Shi, A Hennemuth, ...
Medical image analysis 17 (6), 632-648, 2013
Mandates: UK Engineering and Physical Sciences Research Council, Government of Spain
LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm
M Lorenzi, N Ayache, GB Frisoni, X Pennec, ...
NeuroImage 81, 470-483, 2013
Mandates: 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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: Fonds de recherche du Québec - Santé
Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets
S Durrleman, X Pennec, A Trouvé, G Gerig, N Ayache
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
Mandates: US National Institutes of Health
Inferring brain variability from diffeomorphic deformations of currents: an integrative approach
S Durrleman, X Pennec, A Trouvé, P Thompson, N Ayache
Medical image analysis 12 (5), 626-637, 2008
Mandates: US National Institutes of Health
Geometric variability of the scoliotic spine using statistics on articulated shape models
J Boisvert, F Cheriet, X Pennec, H Labelle, N Ayache
IEEE Transactions on Medical Imaging 27 (4), 557-568, 2008
Mandates: Canadian Institutes of Health Research
Mapping the regional influence of genetics on brain structure variability—a tensor-based morphometry study
CC Brun, N Leporé, X Pennec, AD Lee, M Barysheva, SK Madsen, ...
Neuroimage 48 (1), 37-49, 2009
Mandates: US National Institutes of Health
Geomstats: a Python package for Riemannian geometry in machine learning
N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ...
Journal of Machine Learning Research 21 (223), 1-9, 2020
Mandates: US National Science Foundation, European Commission, Agence Nationale de la …
A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta
JL Bruse, K McLeod, G Biglino, HN Ntsinjana, C Capelli, TY Hsia, ...
BMC medical imaging 16, 1-19, 2016
Mandates: National Institute for Health Research, UK, Leducq Foundation, USA
Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches
JL Bruse, MA Zuluaga, A Khushnood, K McLeod, HN Ntsinjana, TY Hsia, ...
IEEE Transactions on Biomedical Engineering 64 (10), 2373-2383, 2017
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
A Suinesiaputra, P Ablin, X Alba, M Alessandrini, J Allen, W Bai, S Cimen, ...
IEEE journal of biomedical and health informatics 22 (2), 503-515, 2017
Mandates: US National Institutes of Health, UK Biotechnology and Biological Sciences …
Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images
M Lorenzi, X Pennec, GB Frisoni, N Ayache, ...
Neurobiology of aging 36, S42-S52, 2015
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge
DM Cash, C Frost, LO Iheme, D Ünay, M Kandemir, J Fripp, O Salvado, ...
Neuroimage 123, 149-164, 2015
Mandates: US National Institutes of Health, Canadian Institutes of Health Research …
How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function
JL Bruse, A Khushnood, K McLeod, G Biglino, M Sermesant, X Pennec, ...
The Journal of thoracic and cardiovascular surgery 153 (2), 418-427, 2017
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Automatically segmenting the left atrium from cardiac images using successive 3D U-nets and a contour loss
S Jia, A Despinasse, Z Wang, H Delingette, X Pennec, P Jaïs, H Cochet, ...
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
Mandates: Agence Nationale de la Recherche
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