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2020 – today
- 2023
[c48]Benoît Sauty, Stanley Durrleman:
Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease. ISBI 2023: 1-5- [c47]Nemo Fournier
, Stanley Durrleman:
A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics. MICCAI (5) 2023: 601-610 - 2022
- [j34]Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière:
Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM. Algorithms 15(3): 78 (2022) - [j33]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:
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. Medical Image Anal. 76: 102271 (2022) - [c46]Benoît Sauty, Stanley Durrleman:
Riemannian Metric Learning for Progression Modeling of Longitudinal Datasets. ISBI 2022: 1-5 - [c45]Benoît Sauty, Stanley Durrleman:
Progression Models for Imaging Data with Longitudinal Variational Auto Encoders. MICCAI (1) 2022: 3-13 - 2021
- [j32]Clément Mantoux, Baptiste Couvy-Duchesne, Federica Cacciamani, Stéphane Epelbaum, Stanley Durrleman, Stéphanie Allassonnière:
Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold. Entropy 23(4): 490 (2021) - [j31]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:
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers Neuroinformatics 15: 689675 (2021) - [j30]Paolo Piras, Valerio Varano, Maxime Louis, Antonio Profico, Stanley Durrleman, Benjamin Charlier, Franco Milicchio, Luciano Teresi:
Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches. J. Math. Imaging Vis. 63(7): 875-893 (2021) - [j29]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:
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 67: 101848 (2021) - [j28]Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot:
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease. Neuroinformatics 19(1): 57-78 (2021) - [j27]Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière:
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3196-3213 (2021) - [j26]Thomas Lartigue, Stanley Durrleman, Stéphanie Allassonnière:
Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors. SN Comput. Sci. 2(6): 466 (2021) - [j25]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:
A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI. IEEE Trans. Biomed. Eng. 68(2): 393-403 (2021) - [c44]Pierre-Emmanuel Poulet, Stanley Durrleman:
Mixture Modeling for Identifying Subtypes in Disease Course Mapping. IPMI 2021: 571-582 - [c43]Raphaël Couronné, Paul Vernhet, Stanley Durrleman:
Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression. MICCAI (2) 2021: 231-241 - [c42]Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Jedynak, Stanley Durrleman:
Learning Riemannian metric for disease progression modeling. NeurIPS 2021: 23780-23792 - 2020
- [j24]Vianney Debavelaere, Stanley Durrleman, Stéphanie Allassonnière:
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories. Int. J. Comput. Vis. 128(12): 2794-2809 (2020) - [j23]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Learning the spatiotemporal variability in longitudinal shape data sets. Int. J. Comput. Vis. 128(12): 2873-2896 (2020) - [j22]Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot:
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Medical Image Anal. 63: 101694 (2020) - [j21]Wen Wei, Emilie Poirion, Benedetta Bodini, Matteo Tonietto, Stanley Durrleman, Olivier Colliot, Bruno Stankoff, Nicholas Ayache:
Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis. NeuroImage 223: 117308 (2020) - [c41]Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman:
Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. MICCAI (1) 2020: 202-211 - [i14]Thomas Lartigue, Simona Bottani, Stephanie Baron, Olivier Colliot, Stanley Durrleman, Stéphanie Allassonnière:
Gaussian Graphical Model exploration and selection in high dimension low sample size setting. CoRR abs/2003.05169 (2020) - [i13]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:
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. CoRR abs/2009.02878 (2020)
2010 – 2019
- 2019
- [j20]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis. Medical Image Anal. 58 (2019) - [j19]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:
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage 188: 282-290 (2019) - [c40]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. ICCV Workshops 2019: 4014-4023 - [c39]Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman:
Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. IPMI 2019: 195-207 - [c38]Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman:
Riemannian Geometry Learning for Disease Progression Modelling. IPMI 2019: 542-553 - [c37]Raphaël Couronné, Marie Vidailhet, Jean-Christophe Corvol, Stéphane Lehéricy, Stanley Durrleman:
Learning Disease Progression Models With Longitudinal Data and Missing Values. ISBI 2019: 1033-1037 - [c36]Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière:
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. MICCAI (4) 2019: 66-74 - [e5]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:
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. Lecture Notes in Computer Science 11846, Springer 2019, ISBN 978-3-030-33225-9 [contents] - [i12]Igor Koval, Stéphanie Allassonnière, Stanley Durrleman:
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. CoRR abs/1904.02921 (2019) - [i11]Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-González, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot:
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. CoRR abs/1904.07773 (2019) - 2018
- [j18]Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie Odile Habert, Olivier Colliot:
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers Neuroinformatics 12: 94 (2018) - [j17]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:
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage 183: 504-521 (2018) - [j16]Barbara Gris, Stanley Durrleman, Alain Trouvé:
A Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles. SIAM J. Imaging Sci. 11(1): 802-833 (2018) - [j15]Maxime Louis, Benjamin Charlier, Paul Jusselin, Susovan Pal, Stanley Durrleman:
A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds. SIAM J. Numer. Anal. 56(4): 2563-2584 (2018) - [j14]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis. IEEE Trans. Medical Imaging 37(9): 2033-2043 (2018) - [c35]Maxime Louis, Benjamin Charlier, Stanley Durrleman:
Geodesic Discriminant Analysis for Manifold-Valued Data. CVPR Workshops 2018: 332-340 - [c34]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. CVPR 2018: 9271-9280 - [c33]Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman:
Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. ShapeMI@MICCAI 2018: 3-13 - [c32]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training. MICCAI (3) 2018: 514-522 - [e4]Stefan Klein, Marius Staring, Stanley Durrleman, Stefan Sommer:
Biomedical Image Registration - 8th International Workshop, WBIR 2018, Leiden, The Netherlands, June 28-29, 2018, Proceedings. Lecture Notes in Computer Science 10883, Springer 2018, ISBN 978-3-319-92257-7 [contents] - [i10]Alexandre Bône, Olivier Colliot, Stanley Durrleman:
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. CoRR abs/1803.10119 (2018) - [i9]Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, Nicholas Ayache, Bruno Stankoff, Olivier Colliot:
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training. CoRR abs/1804.08039 (2018) - [i8]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:
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR abs/1808.06452 (2018) - [i7]Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot:
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease. CoRR abs/1812.11183 (2018) - 2017
- [j13]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman:
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations. J. Mach. Learn. Res. 18: 133:1-133:33 (2017) - [j12]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes. Medical Image Anal. 35: 458-474 (2017) - [j11]James Fishbaugh, Stanley Durrleman, Marcel Prastawa, Guido Gerig:
Geodesic shape regression with multiple geometries and sparse parameters. Medical Image Anal. 39: 1-17 (2017) - [c31]Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman:
Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. GSI 2017: 29-37 - [c30]Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie Odile Habert, Sébastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot:
Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. CMMI/RAMBO/SWITCH@MICCAI 2017: 13-22 - [c29]Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease. MLMI@MICCAI 2017: 53-60 - [c28]Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers:
White Matter Fiber Segmentation Using Functional Varifolds. GRAIL/MFCA/MICGen@MICCAI 2017: 92-100 - [c27]Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman:
Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. GRAIL/MFCA/MICGen@MICCAI 2017: 101-113 - [c26]Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman:
Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials. DLMIA/ML-CDS@MICCAI 2017: 357-364 - [c25]Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. MICCAI (1) 2017: 451-459 - [e3]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:
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. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - [i6]Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers:
White Matter Fiber Segmentation Using Functional Varifolds. CoRR abs/1709.06144 (2017) - [i5]Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. CoRR abs/1709.07267 (2017) - [i4]Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks. CoRR abs/1709.08491 (2017) - [i3]Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman:
Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. CoRR abs/1711.08716 (2017) - [i2]Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman:
Parallel transport in shape analysis: a scalable numerical scheme. CoRR abs/1711.08725 (2017) - [i1]Olivier Colliot, Fabrizio de Vico Fallani, Stanley Durrleman:
Modelling Neurodegenerative Diseases from Multimodal Medical Images. ERCIM News 2017(108) (2017) - 2016
- [j10]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Fabrizio de Vico Fallani, Mario Chavez, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles. IEEE Trans. Medical Imaging 35(12): 2609-2619 (2016) - [c24]Jean Dumoncel, Gérard Subsol, Stanley Durrleman, Jean-Pierre Jessel, Amelie Beaudet, José Braga:
How to Build an Average Model When Samples are Variably Incomplete? Application to Fossil Data. CVPR Workshops 2016: 541-548 - [c23]Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat:
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI 2016: 63-75 - 2015
- [j9]Stéphanie Allassonnière, Stanley Durrleman, Estelle Kuhn:
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. SIAM J. Imaging Sci. 8(3): 1367-1395 (2015) - [c22]Barbara Gris, Stanley Durrleman, Alain Trouvé:
A Sub-Riemannian Modular Approach for Diffeomorphic Deformations. GSI 2015: 39-47 - [c21]Pietro Gori, Olivier Colliot, Linda Marrakchi-Kacem, Yulia Worbe, Alexandre Routier, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms. IPMI 2015: 275-287 - [c20]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Alexandre Routier, Olivier Colliot, Stanley Durrleman:
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data. IPMI 2015: 564-575 - [c19]Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot, Stanley Durrleman:
Learning spatiotemporal trajectories from manifold-valued longitudinal data. NIPS 2015: 2404-2412 - [e2]Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec:
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. Lecture Notes in Computer Science 8682, Springer 2015, ISBN 978-3-319-14904-2 [contents] - 2014
- [j8]Stanley Durrleman, Marcel Prastawa, Nicolas Charon, Julie R. Korenberg, Sarang C. Joshi, Guido Gerig, Alain Trouvé:
Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101: 35-49 (2014) - [c18]James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman:
Geodesic regression of image and shape data for improved modeling of 4D trajectories. ISBI 2014: 385-388 - [c17]Prasanna Muralidharan, James Fishbaugh, Hans J. Johnson, Stanley Durrleman, Jane S. Paulsen, Guido Gerig, P. Thomas Fletcher:
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics. MICCAI (3) 2014: 49-56 - [c16]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:
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents. MICCAI (3) 2014: 289-296 - 2013
- [j7]Islem Rekik, Stéphanie Allassonnière, Stanley Durrleman, Trevor Carpenter, Joanna M. Wardlaw:
Spatiotemporal Dynamic Simulation of Acute Perfusion/Diffusion Ischemic Stroke Lesions Evolution: A Pilot Study Derived from Longitudinal MR Patient Data. Comput. Math. Methods Medicine 2013: 283593:1-283593:13 (2013) - [j6]Stanley Durrleman, Stéphanie Allassonnière, Sarang C. Joshi:
Sparse Adaptive Parameterization of Variability in Image Ensembles. Int. J. Comput. Vis. 101(1): 161-183 (2013) - [j5]Stanley Durrleman, Xavier Pennec, Alain Trouvé, José Braga, Guido Gerig, Nicholas Ayache:
Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data. Int. J. Comput. Vis. 103(1): 22-59 (2013) - [c15]Alexandre Imperiale, Alexandre Routier, Stanley Durrleman, Philippe Moireau:
Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents. FIMH 2013: 342-351 - [c14]James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman:
Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms. GSI 2013: 95-102 - [c13]James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman:
Geodesic Shape Regression in the Framework of Currents. IPMI 2013: 718-729 - [c12]Pietro Gori, Olivier Colliot, Yulia Worbe, Linda Marrakchi-Kacem, Sophie Lecomte, Cyril Poupon, Andreas Hartmann, Nicholas Ayache, Stanley Durrleman:
Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes. MICCAI (1) 2013: 267-274 - 2012
- [c11]Anuja Sharma, Stanley Durrleman, John H. Gilmore, Guido Gerig:
Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment. ISBI 2012: 1397-1400 - [c10]Stanley Durrleman, Marcel Prastawa, Julie R. Korenberg, Sarang C. Joshi, Alain Trouvé, Guido Gerig:
Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters. MICCAI (3) 2012: 223-230 - [c9]James Fishbaugh, Marcel Prastawa, Stanley Durrleman, Joseph Piven, Guido Gerig:
Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling. MICCAI (1) 2012: 731-738 - [c8]James Fishbaugh, Stanley Durrleman, Joseph Piven, Guido Gerig:
A framework for longitudinal data analysis via shape regression. Medical Imaging: Image Processing 2012: 83143K - [e1]Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer:
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. Lecture Notes in Computer Science 7570, Springer 2012, ISBN 978-3-642-33554-9 [contents] - 2011
- [j4]Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache:
Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents. NeuroImage 55(3): 1073-1090 (2011) - [j3]Tommaso Mansi, Ingmar Voigt, Benedetta Leonardi, Xavier Pennec, Stanley Durrleman, Maxime Sermesant, Herve Delingette, Andrew Mayall Taylor, Younes Boudjemline, Giacomo Pongiglione, Nicholas Ayache:
A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot. IEEE Trans. Medical Imaging 30(9): 1605-1616 (2011) - [c7]James Fishbaugh, Stanley Durrleman, Guido Gerig:
Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data. MICCAI (2) 2011: 401-408 - 2010
- [b1]Stanley Durrleman:
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). University of Nice Sophia Antipolis, France, 2010 - [c6]Vladlena Gorbunova, Stanley Durrleman, Pechin Lo, Xavier Pennec, Marleen de Bruijne:
Lung CT registration combining intensity, curves and surfaces. ISBI 2010: 340-343
2000 – 2009
- 2009
- [j2]Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache:
Statistical models of sets of curves and surfaces based on currents. Medical Image Anal. 13(5): 793-808 (2009) - [c5]Stanley Durrleman, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache:
A Statistical Model of White Matter Fiber Bundles Based on Currents. IPMI 2009: 114-125 - [c4]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:
A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning. MICCAI (1) 2009: 214-221 - [c3]Stanley Durrleman, Xavier Pennec, Alain Trouvé, Guido Gerig, Nicholas Ayache:
Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. MICCAI (1) 2009: 297-304 - 2008
- [j1]Stanley Durrleman, Xavier Pennec, Alain Trouvé, Paul M. Thompson, Nicholas Ayache:
Inferring brain variability from diffeomorphic deformations of currents: An integrative approach. Medical Image Anal. 12(5): 626-637 (2008) - [c2]Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache:
Sparse Approximation of Currents for Statistics on Curves and Surfaces. MICCAI (2) 2008: 390-398 - 2007
- [c1]Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache:
Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach. MICCAI (1) 2007: 675-682
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:37 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
