Stanley Durrleman
Stanley Durrleman
Inria, Paris Brain Institute (ICM)
Verified email at inria.fr
Title
Cited by
Cited by
Year
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
2682015
Morphometry of anatomical shape complexes with dense deformations and sparse parameters
S Durrleman, M Prastawa, N Charon, JR Korenberg, S Joshi, G Gerig, ...
NeuroImage 101, 35-49, 2014
2022014
Statistical models of sets of curves and surfaces based on currents
S Durrleman, X Pennec, A Trouvé, N Ayache
Medical image analysis 13 (5), 793-808, 2009
1812009
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 (1), 22-59, 2013
1452013
Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets
S Durrleman, X Pennec, A Trouvé, G Gerig, N Ayache
International Conference on Medical Image Computing and Computer-Assisted …, 2009
1242009
Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study
B Dubois, S Epelbaum, F Nyasse, H Bakardjian, G Gagliardi, ...
The Lancet Neurology 17 (4), 335-346, 2018
1192018
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
J Wen, E Thibeau-Sutre, M Diaz-Melo, J Samper-González, A Routier, ...
Medical image analysis 63, 101694, 2020
1132020
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
1102008
Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution
S Durrleman
Université Nice Sophia Antipolis, 2010
1022010
A precision medicine initiative for Alzheimer’s disease: the road ahead to biomarker-guided integrative disease modeling
H Hampel, SE O’Bryant, S Durrleman, E Younesi, K Rojkova, ...
Climacteric 20 (2), 107-118, 2017
942017
Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents
S Durrleman, P Fillard, X Pennec, A Trouvé, N Ayache
NeuroImage 55 (3), 1073-1090, 2011
932011
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
J Samper-González, N Burgos, S Bottani, S Fontanella, P Lu, A Marcoux, ...
NeuroImage 183, 504-521, 2018
832018
A statistical model for quantification and prediction of cardiac remodelling: Application to tetralogy of fallot
T Mansi, I Voigt, B Leonardi, X Pennec, S Durrleman, M Sermesant, ...
IEEE transactions on medical imaging 30 (9), 1605-1616, 2011
832011
Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration
S Durrleman, X Pennec, A Trouvé, N Ayache, J Braga
Journal of Human Evolution 62 (1), 74-88, 2012
792012
Revolution of Alzheimer precision neurology. Passageway of systems biology and neurophysiology
H Hampel, N Toschi, C Babiloni, F Baldacci, KL Black, ALW Bokde, ...
Journal of Alzheimer's Disease 64 (s1), S47-S105, 2018
782018
Early cognitive, structural, and microstructural changes in presymptomatic C9orf72 carriers younger than 40 years
A Bertrand, J Wen, D Rinaldi, M Houot, S Sayah, A Camuzat, C Fournier, ...
JAMA neurology 75 (2), 236-245, 2018
652018
Learning spatiotemporal trajectories from manifold-valued longitudinal data
JB Schiratti, S Allassonniere, O Colliot, S Durrleman
Neural Information Processing Systems, 2015
652015
Sparse adaptive parameterization of variability in image ensembles
S Durrleman, S Allassonnière, S Joshi
International Journal of Computer Vision 101 (1), 161-183, 2013
622013
Estimation of smooth growth trajectories with controlled acceleration from time series shape data
J Fishbaugh, S Durrleman, G Gerig
International Conference on Medical Image Computing and Computer-Assisted …, 2011
49*2011
Measuring brain variability via sulcal lines registration: a diffeomorphic approach
S Durrleman, X Pennec, A Trouvé, N Ayache
International Conference on Medical Image Computing and Computer-Assisted …, 2007
482007
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Articles 1–20