Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach. - Stanley Durrleman; Xavier Pennec; Alain Trouvé; Nicholas Ayache (MICCAI (1), 2007)

Sparse Approximation of Currents for Statistics on Curves and Surfaces. - Stanley Durrleman; Xavier Pennec; Alain Trouvé; Nicholas Ayache (MICCAI (2), 2008)

Inferring brain variability from diffeomorphic deformations of currents: An integrative approach. - Stanley Durrleman; Xavier Pennec; Alain Trouvé; Paul M. Thompson; Nicholas Ayache (Medical Image Anal., 2008)

A Statistical Model of White Matter Fiber Bundles Based on Currents. - Stanley Durrleman; Pierre Fillard; Xavier Pennec; Alain Trouvé; Nicholas Ayache (IPMI, 2009)

Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. - Stanley Durrleman; Xavier Pennec; Alain Trouvé; Guido Gerig; Nicholas Ayache (MICCAI (1), 2009)

A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. - Tommaso Mansi; Stanley Durrleman; Boris C. Bernhardt; Maxime Sermesant; Hervé Delingette; Ingmar Voigt; Philipp Lurz; Andrew Mayall Taylor; Julie Blanc; Younes Boudjemline; Xavier Pennec; Nicholas Ayache (MICCAI (1), 2009)

Statistical models of sets of curves and surfaces based on currents. - Stanley Durrleman; Xavier Pennec; Alain Trouvé; Nicholas Ayache (Medical Image Anal., 2009)

Lung CT registration combining intensity, curves and surfaces. - Vladlena Gorbunova; Stanley Durrleman; Pechin Lo; Xavier Pennec; Marleen de Bruijne (ISBI, 2010)

Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution. (Modèles statistiques de courants pour mesurer la variabilité anatomique de courbes, de surfaces et de leur évolution). - Stanley Durrleman (2010)

Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data. - James Fishbaugh; Stanley Durrleman; Guido Gerig (MICCAI (2), 2011)

Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. - Stanley Durrleman; Pierre Fillard; Xavier Pennec; Alain Trouvé; Nicholas Ayache (NeuroImage, 2011)

A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. - Tommaso Mansi; Ingmar Voigt; Benedetta Leonardi; Xavier Pennec; Stanley Durrleman; Maxime Sermesant; Herve Delingette; Andrew Mayall Taylor; Younes Boudjemline; Giacomo Pongiglione; Nicholas Ayache (IEEE Trans. Medical Imaging, 2011)

Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment. - Anuja Sharma; Stanley Durrleman; John H. Gilmore; Guido Gerig (ISBI, 2012)

Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters. - Stanley Durrleman; Marcel Prastawa; Julie R. Korenberg; Sarang C. Joshi; Alain Trouvé; Guido Gerig (MICCAI (3), 2012)

Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling. - James Fishbaugh; Marcel Prastawa; Stanley Durrleman; Joseph Piven; Guido Gerig (MICCAI (1), 2012)

A framework for longitudinal data analysis via shape regression. - James Fishbaugh; Stanley Durrleman; Joseph Piven; Guido Gerig (Image Processing, 2012)

Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents. - Alexandre Imperiale; Alexandre Routier; Stanley Durrleman; Philippe Moireau (FIMH, 2013)

Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms. - James Fishbaugh; Marcel Prastawa; Guido Gerig; Stanley Durrleman (GSI, 2013)

Geodesic Shape Regression in the Framework of Currents. - James Fishbaugh; Marcel Prastawa; Guido Gerig; Stanley Durrleman (IPMI, 2013)

Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes. - Pietro Gori; Olivier Colliot; Yulia Worbe; Linda Marrakchi-Kacem; Sophie Lecomte; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman (MICCAI (1), 2013)

Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. - Islem Rekik; Stéphanie Allassonnière; Stanley Durrleman; Trevor Carpenter; Joanna M. Wardlaw (Comput. Math. Methods Medicine, 2013)

Sparse Adaptive Parameterization of Variability in Image Ensembles. - Stanley Durrleman; Stéphanie Allassonnière; Sarang C. Joshi (Int. J. Comput. Vis., 2013)

Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data. - Stanley Durrleman; Xavier Pennec; Alain Trouvé; José Braga; Guido Gerig; Nicholas Ayache (Int. J. Comput. Vis., 2013)

Geodesic regression of image and shape data for improved modeling of 4D trajectories. - James Fishbaugh; Marcel Prastawa; Guido Gerig; Stanley Durrleman (ISBI, 2014)

A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. - Pietro Gori; Olivier Colliot; Linda Marrakchi-Kacem; Yulia Worbe; Fabrizio de Vico Fallani; Mario Chavez; Sophie Lecomte; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman (MICCAI (3), 2014)

Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. - Prasanna Muralidharan; James Fishbaugh; Hans J. Johnson; Stanley Durrleman; Jane S. Paulsen; Guido Gerig; P. Thomas Fletcher (MICCAI (3), 2014)

Morphometry of anatomical shape complexes with dense deformations and sparse parameters. - Stanley Durrleman; Marcel Prastawa; Nicolas Charon; Julie R. Korenberg; Sarang C. Joshi; Guido Gerig; Alain Trouvé (NeuroImage, 2014)

A Sub-Riemannian Modular Approach for Diffeomorphic Deformations. - Barbara Gris; Stanley Durrleman; Alain Trouvé (GSI, 2015)

Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms. - Pietro Gori; Olivier Colliot; Linda Marrakchi-Kacem; Yulia Worbe; Alexandre Routier; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman (IPMI, 2015)

A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data. - Jean-Baptiste Schiratti; Stéphanie Allassonnière; Alexandre Routier; Olivier Colliot; Stanley Durrleman (IPMI, 2015)

Learning spatiotemporal trajectories from manifold-valued longitudinal data. - Jean-Baptiste Schiratti; Stéphanie Allassonnière; Olivier Colliot; Stanley Durrleman (NIPS, 2015)

Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. - Stéphanie Allassonnière; Stanley Durrleman; Estelle Kuhn (SIAM J. Imaging Sci., 2015)

How to Build an Average Model When Samples are Variably Incomplete? Application to Fossil Data. - Jean Dumoncel; Gérard Subsol; Stanley Durrleman; Jean-Pierre Jessel; Amelie Beaudet; José Braga (CVPR Workshops, 2016)

Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. - Claire Cury; Marco Lorenzi; David M. Cash; Jennifer M. Nicholas; Alexandre Routier; Jonathan D. Rohrer; Sébastien Ourselin; Stanley Durrleman; Marc Modat (SeSAMI@MICCAI, 2016)

Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. - Pietro Gori; Olivier Colliot; Linda Marrakchi-Kacem; Yulia Worbe; Fabrizio de Vico Fallani; Mario Chavez; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman (IEEE Trans. Medical Imaging, 2016)

Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. - Maxime Louis; Alexandre Bône; Benjamin Charlier; Stanley Durrleman (GSI, 2017)

Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials. - Manon Ansart; Stéphane Epelbaum; Geoffroy Gagliardi; Olivier Colliot; Didier Dormont; Bruno Dubois; Harald Hampel; Stanley Durrleman (DLMIA/ML-CDS@MICCAI, 2017)

Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. - Alexandre Bône; Maxime Louis; Alexandre Routier; Jorge Samper-González; Michael Bacci; Benjamin Charlier; Olivier Colliot; Stanley Durrleman (GRAIL/MFCA/MICGen@MICCAI, 2017)

Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. - Ninon Burgos; Jorge Samper-González; Anne Bertrand; Marie Odile Habert; Sébastien Ourselin; Stanley Durrleman; M. Jorge Cardoso; Olivier Colliot (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. - Igor Koval; Jean-Baptiste Schiratti; Alexandre Routier; Michael Bacci; Olivier Colliot; Stéphanie Allassonnière; Stanley Durrleman (MICCAI (1), 2017)

White Matter Fiber Segmentation Using Functional Varifolds. - Kuldeep Kumar; Pietro Gori; Benjamin Charlier; Stanley Durrleman; Olivier Colliot; Christian Desrosiers (GRAIL/MFCA/MICGen@MICCAI, 2017)

Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. - Jorge Samper-González; Ninon Burgos; Sabrina Fontanella; Hugo Bertin; Marie Odile Habert; Stanley Durrleman; Theodoros Evgeniou; Olivier Colliot (MLMI@MICCAI, 2017)

Modelling Neurodegenerative Diseases from Multimodal Medical Images. - Olivier Colliot; Fabrizio de Vico Fallani; Stanley Durrleman (ERCIM News, 2017)

A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations. - Jean-Baptiste Schiratti; Stéphanie Allassonnière; Olivier Colliot; Stanley Durrleman (J. Mach. Learn. Res., 2017)

Geodesic shape regression with multiple geometries and sparse parameters. - James Fishbaugh; Stanley Durrleman; Marcel Prastawa; Guido Gerig (Medical Image Anal., 2017)

A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. - Pietro Gori; Olivier Colliot; Linda Marrakchi-Kacem; Yulia Worbe; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman (Medical Image Anal., 2017)

Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. - Alexandre Bône; Olivier Colliot; Stanley Durrleman (CVPR, 2018)

Geodesic Discriminant Analysis for Manifold-Valued Data. - Maxime Louis; Benjamin Charlier; Stanley Durrleman (CVPR Workshops, 2018)

Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. - Alexandre Bône; Maxime Louis; Benoît Martin; Stanley Durrleman (ShapeMI@MICCAI, 2018)

Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training. - Wen Wei 001; Emilie Poirion; Benedetta Bodini; Stanley Durrleman; Nicholas Ayache; Bruno Stankoff; Olivier Colliot (MICCAI (3), 2018)

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. - Jorge Samper-González; Ninon Burgos; Simona Bottani; Sabrina Fontanella; Pascal Lu; Arnaud Marcoux; Alexandre Routier; Jérémy Guillon; Michael Bacci; Junhao Wen 002; Anne Bertrand; Hugo Bertin; et al. (CoRR, 2018)

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease. - Junhao Wen 002; Jorge Samper-González; Simona Bottani; Alexandre Routier; Ninon Burgos; Thomas Jacquemont; Sabrina Fontanella; Stanley Durrleman; Stéphane Epelbaum; Anne Bertrand; Olivier Colliot (CoRR, 2018)

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. - Arnaud Marcoux; Ninon Burgos; Anne Bertrand; Marc Teichmann; Alexandre Routier; Junhao Wen 002; Jorge Samper-González; Simona Bottani; Stanley Durrleman; Marie Odile Habert; Olivier Colliot (Frontiers Neuroinformatics, 2018)

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. - Jorge Samper-González; Ninon Burgos; Simona Bottani; Sabrina Fontanella; Pascal Lu; Arnaud Marcoux; Alexandre Routier; Jérémy Guillon; Michael Bacci; Junhao Wen 002; Anne Bertrand; Hugo Bertin; et al. (NeuroImage, 2018)

A Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles. - Barbara Gris; Stanley Durrleman; Alain Trouvé (SIAM J. Imaging Sci., 2018)

A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds. - Maxime Louis; Benjamin Charlier; Paul Jusselin; Susovan Pal; Stanley Durrleman (SIAM J. Numer. Anal., 2018)

Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis. - Pietro Gori; Olivier Colliot; Linda Marrakchi-Kacem; Yulia Worbe; Alexandre Routier; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman (IEEE Trans. Medical Imaging, 2018)

Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. - Alexandre Bône; Olivier Colliot; Stanley Durrleman (ICCV Workshops, 2019)

Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. - Alexandre Bône; Maxime Louis; Olivier Colliot; Stanley Durrleman (IPMI, 2019)

Riemannian Geometry Learning for Disease Progression Modelling. - Maxime Louis; Raphaël Couronné; Igor Koval; Benjamin Charlier; Stanley Durrleman (IPMI, 2019)

Learning Disease Progression Models With Longitudinal Data and Missing Values. - Raphaël Couronné; Marie Vidailhet; Jean-Christophe Corvol; Stéphane Lehéricy; Stanley Durrleman (ISBI, 2019)

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. - Vianney Debavelaere; Alexandre Bône; Stanley Durrleman; Stéphanie Allassonnière (MICCAI (4), 2019)

Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. - Igor Koval; Stéphanie Allassonnière; Stanley Durrleman (CoRR, 2019)

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. - Junhao Wen 002; Elina Thibeau-Sutre; Jorge Samper-González; Alexandre Routier; Simona Bottani; Stanley Durrleman; Ninon Burgos; Olivier Colliot (CoRR, 2019)

Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis. - Wen Wei 001; Emilie Poirion; Benedetta Bodini; Stanley Durrleman; Nicholas Ayache; Bruno Stankoff; Olivier Colliot (Medical Image Anal., 2019)

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. - Claire Cury; Stanley Durrleman; David M. Cash; Marco Lorenzi; Jennifer M. Nicholas; Martina Bocchetta; John van Swieten; Barbara Borroni; Daniela Galimberti; Mario Masellis; Maria Carmela Tartaglia; James B. Rowe; et al. (NeuroImage, 2019)

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. - Alexandre Bône; Paul Vernhet; Olivier Colliot; Stanley Durrleman (MICCAI (1), 2020)

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. - Anupama Goparaju; Alexandre Bône; Nan Hu; Heath B. Henninger; Andrew E. Anderson; Stanley Durrleman; Matthijs Jacxsens; Alan Morris; Ibolya Csecs; Nassir Marrouche; Shireen Y. Elhabian (CoRR, 2020)

Learning the spatiotemporal variability in longitudinal shape data sets. - Alexandre Bône; Olivier Colliot; Stanley Durrleman (Int. J. Comput. Vis., 2020)

Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories. - Vianney Debavelaere; Stanley Durrleman; Stéphanie Allassonnière (Int. J. Comput. Vis., 2020)

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. - Junhao Wen 002; Elina Thibeau-Sutre; Mauricio Diaz-Melo; Jorge Samper-González; Alexandre Routier; Simona Bottani; Didier Dormont; Stanley Durrleman; Ninon Burgos; Olivier Colliot (Medical Image Anal., 2020)

Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis. - Wen Wei 001; Emilie Poirion; Benedetta Bodini; Matteo Tonietto; Stanley Durrleman; Olivier Colliot; Bruno Stankoff; Nicholas Ayache (NeuroImage, 2020)

Mixture Modeling for Identifying Subtypes in Disease Course Mapping. - Pierre-Emmanuel Poulet; Stanley Durrleman (IPMI, 2021)

Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression. - Raphaël Couronné; Paul Vernhet; Stanley Durrleman (MICCAI (2), 2021)

Learning Riemannian metric for disease progression modeling. - Samuel Gruffaz; Pierre-Emmanuel Poulet; Etienne Maheux; Bruno Jedynak; Stanley Durrleman (NeurIPS, 2021)

Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold. - Clément Mantoux; Baptiste Couvy-Duchesne; Federica Cacciamani; Stéphane Epelbaum; Stanley Durrleman; Stéphanie Allassonnière (Entropy, 2021)

Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. - Alexandre Routier; Ninon Burgos; Mauricio Diaz-Melo; Michael Bacci; Simona Bottani; Omar El-Rifai; Sabrina Fontanella; Pietro Gori; Jérémy Guillon; Alexis Guyot; Ravi Hassanaly; Thomas Jacquemont; et al. (Frontiers Neuroinformatics, 2021)

Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches. - Paolo Piras; Valerio Varano; Maxime Louis; Antonio Profico; Stanley Durrleman; Benjamin Charlier; Franco Milicchio; Luciano Teresi (J. Math. Imaging Vis., 2021)

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. - Manon Ansart; Stéphane Epelbaum; Giulia Bassignana; Alexandre Bône; Simona Bottani; Tiziana Cattai; Raphaël Couronné; Johann Faouzi; Igor Koval; Maxime Louis; Elina Thibeau-Sutre; Junhao Wen 002; et al. (Medical Image Anal., 2021)

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease. - Junhao Wen 002; Jorge Samper-González; Simona Bottani; Alexandre Routier; Ninon Burgos; Thomas Jacquemont; Sabrina Fontanella; Stanley Durrleman; Stéphane Epelbaum; Anne Bertrand; Olivier Colliot (Neuroinformatics, 2021)

Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting. - Thomas Lartigue; Simona Bottani; Stephanie Baron; Olivier Colliot; Stanley Durrleman; Stéphanie Allassonnière (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors. - Thomas Lartigue; Stanley Durrleman; Stéphanie Allassonnière (SN Comput. Sci., 2021)

A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI. - Alexis Guyot; Ana B. Graciano Fouquier; Emilie Gerardin; Marie Chupin; Joan Alexis Glaunès; Linda Marrakchi-Kacem; Johanne Germain; Claire Boutet; Claire Cury; Lucie Hertz-Pannier; Alexandre Vignaud; Stanley Durrleman; et al. (IEEE Trans. Biomed. Eng., 2021)

Riemannian Metric Learning for Progression Modeling of Longitudinal Datasets. - Benoît Sauty; Stanley Durrleman (ISBI, 2022)

Progression Models for Imaging Data with Longitudinal Variational Auto Encoders. - Benoît Sauty; Stanley Durrleman (MICCAI (1), 2022)

Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology. - Kristyna Manousková; Valentin Abadie; Mehdi Ounissi; Gabriel Jimenez 001; Lev Stimmer; Benoît Delatour; Stanley Durrleman; Daniel Racoceanu (Digital and Computational Pathology, 2022)

Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. - Thomas Lartigue; Stanley Durrleman; Stéphanie Allassonnière (Algorithms, 2022)

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. - Anupama Goparaju; Krithika Iyer; Alexandre Bône; Nan Hu; Heath B. Henninger; Andrew E. Anderson; Stanley Durrleman; Matthijs Jacxsens; Alan Morris; Ibolya Csecs; Nassir Marrouche; Shireen Y. Elhabian (Medical Image Anal., 2022)

Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease. - Benoît Sauty; Stanley Durrleman (ISBI, 2023)

A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics. - Nemo Fournier; Stanley Durrleman (MICCAI (5), 2023)

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease. - Vikram Venkatraghavan; Damiano Archetti; Pierrick Bourgeat; Chenyang Jiang; Mara ten Kate; Anna Catharina van Loenhoud; Rik Ossenkoppele; Charlotte E. Teunissen; Elsmarieke van de Giessen; Yolande A. L. Pijnenburg; Giovanni B. Frisoni; Béla Weiss; et al. (NeuroImage, 2025)