Stanley Durrleman

104 papers A* 2B 1Journal 49Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease. NeuroImage 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, Zoltán Vidnyánszky, Tibor Auer, Stanley Durrleman, Alberto Redolfi, Simon M. Laws, Paul Maruff, Neil P. Oxtoby, André Altmann, Daniel C. Alexander, Wiesje M. van der Flier, Frederik Barkhof, Betty M. Tijms
2023	—	`conf`	A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics. MICCAI (5) Nemo Fournier, Stanley Durrleman
2023	—	`conf`	Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease. ISBI Benoît Sauty, Stanley Durrleman
2022	J	`jnl`	Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. Medical Image Anal. 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
2022	J	`jnl`	Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. Algorithms Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière
2022	—	`conf`	Progression Models for Imaging Data with Longitudinal Variational Auto Encoders. MICCAI (1) Benoît Sauty, Stanley Durrleman
2022	—	`conf`	Riemannian Metric Learning for Progression Modeling of Longitudinal Datasets. ISBI Benoît Sauty, Stanley Durrleman
2022	—	`conf`	Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology. Digital and Computational Pathology Kristyna Manousková, Valentin Abadie, Mehdi Ounissi, Gabriel Jimenez, Lev Stimmer, Benoît Delatour, Stanley Durrleman, Daniel Racoceanu
2021	J	`jnl`	A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI. IEEE Trans. Biomed. Eng. 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, Thomas R. Henry, Pierre-François van de Moortele, Alain Trouvé, Olivier Colliot
2021	J	`jnl`	Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers Neuroinformatics 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, Pascal Lu, Arnaud Marcoux, Tristan Moreau, Jorge Samper-González, Marc Teichmann, Elina Thibeau-Sutre, Ghislain Vaillant, Junhao Wen, Adam Wild, Marie Odile Habert, Stanley Durrleman, Olivier Colliot
2021	J	`jnl`	Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière
2021	A*	`conf`	Learning Riemannian metric for disease progression modeling. NeurIPS Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Jedynak, Stanley Durrleman
2021	—	`conf`	Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression. MICCAI (2) Raphaël Couronné, Paul Vernhet, Stanley Durrleman
2021	—	`conf`	Mixture Modeling for Identifying Subtypes in Disease Course Mapping. IPMI Pierre-Emmanuel Poulet, Stanley Durrleman
2021	J	`jnl`	Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors. SN Comput. Sci. Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière
2021	J	`jnl`	Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 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, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman
2021	J	`jnl`	Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease. Neuroinformatics Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot
2021	J	`jnl`	Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches. J. Math. Imaging Vis. Paolo Piras, Valerio Varano, Maxime Louis, Antonio Profico, Stanley Durrleman, Benjamin Charlier, Franco Milicchio, Luciano Teresi
2021	J	`jnl`	Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold. Entropy Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman, Stéphanie Allassonnière
2020	J	`jnl`	Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. CoRR 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
2020	J	`jnl`	Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Medical Image Anal. Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot
2020	J	`jnl`	Gaussian Graphical Model exploration and selection in high dimension low sample size setting. CoRR Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière
2020	—	`conf`	Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. MICCAI (1) Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman
2020	J	`jnl`	Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories. Int. J. Comput. Vis. Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière
2020	J	`jnl`	Learning the spatiotemporal variability in longitudinal shape data sets. Int. J. Comput. Vis. Alexandre Bône, Olivier Colliot, Stanley Durrleman
2020	J	`jnl`	Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis. NeuroImage Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, Nicholas Ayache
2019	—	`conf`	Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. ICCV Workshops Alexandre Bône, Olivier Colliot, Stanley Durrleman
2019	—	`conf`	Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. MICCAI (4) Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière
2019	J	`jnl`	Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. CoRR Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-González, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot
2019	—	`conf`	Learning Disease Progression Models With Longitudinal Data and Missing Values. ISBI Raphaël Couronné, Marie Vidailhet, Jean-Christophe Corvol, Stéphane Lehéricy, Stanley Durrleman
2019	—	`conf`	Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. IPMI Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman
2019	—	`ed.`	Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings MBIA/MFCA@MICCAI Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang C. Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer
2019	J	`jnl`	Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis. Medical Image Anal. Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot
2019	—	`conf`	Riemannian Geometry Learning for Disease Progression Modelling. IPMI Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman
2019	J	`jnl`	Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. CoRR Igor Koval, Stéphanie Allassonnière, Stanley Durrleman
2019	J	`jnl`	Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage 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, Caroline Graff, Fabrizio Tagliavini, Giovanni B. Frisoni, Robert Laforce Jr., Elizabeth C. Finger, Alexandre de Mendonça, Jason D. Warren
2018	J	`jnl`	A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds. SIAM J. Numer. Anal. Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman
2018	J	`jnl`	A Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles. SIAM J. Imaging Sci. Barbara Gris, Stanley Durrleman, Alain Trouvé
2018	J	`jnl`	An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers Neuroinformatics Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie Odile Habert, Olivier Colliot
2018	—	`ed.`	Biomedical Image Registration - 8th International Workshop, WBIR 2018, Leiden, The Netherlands, June 28-29, 2018, Proceedings WBIR Stefan Klein, Marius Staring, Stanley Durrleman, Stefan Sommer
2018	—	`conf`	Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. ShapeMI@MICCAI Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman
2018	J	`jnl`	Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis. IEEE Trans. Medical Imaging Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
2018	—	`conf`	Geodesic Discriminant Analysis for Manifold-Valued Data. CVPR Workshops Maxime Louis, Benjamin Charlier, Stanley Durrleman
2018	A*	`conf`	Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. CVPR Alexandre Bône, Olivier Colliot, Stanley Durrleman
2018	—	`conf`	Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training. MICCAI (3) Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot
2018	J	`jnl`	Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. CoRR Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot
2018	J	`jnl`	Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. CoRR Alexandre Bône, Olivier Colliot, Stanley Durrleman
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2018	J	`jnl`	Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, Alzheimer's Disease Neuroimaging Initiative
2018	J	`jnl`	Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease. CoRR Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot
2017	J	`jnl`	A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations. J. Mach. Learn. Res. Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman
2017	J	`jnl`	A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Medical Image Anal. Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
2017	J	`jnl`	Geodesic shape regression with multiple geometries and sparse parameters. Medical Image Anal. James Fishbaugh, Stanley Durrleman, Marcel Prastawa, Guido Gerig
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	—	`conf`	Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. CMMI/RAMBO/SWITCH@MICCAI Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie Odile Habert, Sébastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot
2017	J	`jnl`	Modelling Neurodegenerative Diseases from Multimodal Medical Images. ERCIM News Olivier Colliot, Fabrizio de Vico Fallani, Stanley Durrleman
2017	—	`conf`	Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. GSI Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
2017	J	`jnl`	Parallel transport in shape analysis: a scalable numerical scheme. CoRR Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
2017	—	`conf`	Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials. DLMIA/ML-CDS@MICCAI Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman
2017	—	`conf`	Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. GRAIL/MFCA/MICGen@MICCAI Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
2017	J	`jnl`	Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. CoRR Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
2017	—	`conf`	Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. MICCAI (1) Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
2017	J	`jnl`	Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks. CoRR Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
2017	—	`conf`	White Matter Fiber Segmentation Using Functional Varifolds. GRAIL/MFCA/MICGen@MICCAI Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
2017	J	`jnl`	White Matter Fiber Segmentation Using Functional Varifolds. CoRR Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
2017	J	`jnl`	Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. CoRR Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2017	—	`conf`	Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. MLMI@MICCAI Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot
2016	—	`conf`	How to Build an Average Model When Samples are Variably Incomplete? Application to Fossil Data. CVPR Workshops Jean Dumoncel, Gérard Subsol, Stanley Durrleman, Jean-Pierre Jessel, Amelie Beaudet, José Braga
2016	J	`jnl`	Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. IEEE Trans. Medical Imaging Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
2016	—	`conf`	Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat
2015	—	`conf`	A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data. IPMI Jean-Baptiste Schiratti, Stéphanie Allassonnière, Alexandre Routier, Olivier Colliot, Stanley Durrleman
2015	—	`conf`	A Sub-Riemannian Modular Approach for Diffeomorphic Deformations. GSI Barbara Gris, Stanley Durrleman, Alain Trouvé
2015	J	`jnl`	Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. SIAM J. Imaging Sci. Stéphanie Allassonnière, Stanley Durrleman, Estelle Kuhn
2015	—	`conf`	Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms. IPMI Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
2015	—	`conf`	Learning spatiotemporal trajectories from manifold-valued longitudinal data. NIPS Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman
2015	—	`ed.`	Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers STIA Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec
2014	—	`conf`	A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. MICCAI (3) 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
2014	—	`conf`	Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. MICCAI (3) Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher
2014	—	`conf`	Geodesic regression of image and shape data for improved modeling of 4D trajectories. ISBI James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman
2014	J	`jnl`	Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage Stanley Durrleman, Marcel Prastawa, Nicolas Charon, Julie R. Korenberg, Sarang C. Joshi, Guido Gerig, Alain Trouvé
2013	—	`conf`	Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes. MICCAI (1) Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman
2013	—	`conf`	Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms. GSI James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman
2013	—	`conf`	Geodesic Shape Regression in the Framework of Currents. IPMI James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman
2013	—	`conf`	Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents. FIMH Alexandre Imperiale, Alexandre Routier, Stanley Durrleman, Philippe Moireau
2013	J	`jnl`	Sparse Adaptive Parameterization of Variability in Image Ensembles. Int. J. Comput. Vis. Stanley Durrleman, Stéphanie Allassonnière, Sarang C. Joshi
2013	J	`jnl`	Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. Comput. Math. Methods Medicine Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M. Wardlaw
2013	J	`jnl`	Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data. Int. J. Comput. Vis. Stanley Durrleman, Xavier Pennec, Alain Trouvé, José Braga, Guido Gerig, Nicholas Ayache
2012	B	`conf`	A framework for longitudinal data analysis via shape regression. Image Processing James Fishbaugh, Stanley Durrleman, Joseph Piven, Guido Gerig
2012	—	`conf`	Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling. MICCAI (1) James Fishbaugh, Marcel Prastawa, Stanley Durrleman, Joseph Piven, Guido Gerig
2012	—	`conf`	Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment. ISBI Anuja Sharma, Stanley Durrleman, John H. Gilmore, Guido Gerig
2012	—	`ed.`	Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings STIA Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer
2012	—	`conf`	Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters. MICCAI (3) Stanley Durrleman, Marcel Prastawa, Julie R. Korenberg, Sarang C. Joshi, Alain Trouvé, Guido Gerig
2011	J	`jnl`	A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. IEEE Trans. Medical Imaging Tommaso Mansi, Ingmar Voigt, Benedetta Leonardi, Xavier Pennec, Stanley Durrleman, Maxime Sermesant, Herve Delingette, Andrew Mayall Taylor, Younes Boudjemline, Giacomo Pongiglione, Nicholas Ayache
2011	—	`conf`	Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data. MICCAI (2) James Fishbaugh, Stanley Durrleman, Guido Gerig
2011	J	`jnl`	Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. NeuroImage Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache
2010	—	`conf`	Lung CT registration combining intensity, curves and surfaces. ISBI Vladlena Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, Marleen de Bruijne
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
2009	—	`conf`	A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. MICCAI (1) 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
2009	—	`conf`	A Statistical Model of White Matter Fiber Bundles Based on Currents. IPMI Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache
2009	—	`conf`	Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. MICCAI (1) Stanley Durrleman, Xavier Pennec, Alain Trouvé, Guido Gerig, Nicholas Ayache
2009	J	`jnl`	Statistical models of sets of curves and surfaces based on currents. Medical Image Anal. Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache
2008	J	`jnl`	Inferring brain variability from diffeomorphic deformations of currents: An integrative approach. Medical Image Anal. Stanley Durrleman, Xavier Pennec, Alain Trouvé, Paul M. Thompson, Nicholas Ayache
2008	—	`conf`	Sparse Approximation of Currents for Statistics on Curves and Surfaces. MICCAI (2) Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache
2007	—	`conf`	Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach. MICCAI (1) Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache