Stanley Durrleman
Orcid: 0000-0002-9450-6920
According to our database1,
Stanley Durrleman
authored at least 90 papers
between 2007 and 2023.
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Bibliography
2023
A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
Medical Image Anal., 2022
Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM.
Algorithms, 2022
Tau protein discrete aggregates in Alzheimer's disease: neuritic plaques and tangles detection and segmentation using computational histopathology.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI.
IEEE Trans. Biomed. Eng., 2021
Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors.
SN Comput. Sci., 2021
Gaussian Graphical Model Exploration and Selection in High Dimension Low Sample Size Setting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.
Neuroinformatics, 2021
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.
Medical Image Anal., 2021
Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches.
J. Math. Imaging Vis., 2021
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.
Frontiers Neuroinformatics, 2021
Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold.
Entropy, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Predicting PET-derived myelin content from multisequence MRI for individual longitudinal analysis in multiple sclerosis.
NeuroImage, 2020
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Medical Image Anal., 2020
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories.
Int. J. Comput. Vis., 2020
Int. J. Comput. Vis., 2020
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort.
NeuroImage, 2019
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis.
Medical Image Anal., 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.
CoRR, 2019
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects.
CoRR, 2019
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders.
Proceedings of the Information Processing in Medical Imaging, 2019
Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
IEEE Trans. Medical Imaging, 2018
SIAM J. Numer. Anal., 2018
A Sub-Riemannian Modular Framework for Diffeomorphism-Based Analysis of Shape Ensembles.
SIAM J. Imaging Sci., 2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage, 2018
Frontiers Neuroinformatics, 2018
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease.
CoRR, 2018
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data.
CoRR, 2018
Learning Myelin Content in Multiple Sclerosis from Multimodal MRI Through Adversarial Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Shape in Medical Imaging, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes.
Medical Image Anal., 2017
Medical Image Anal., 2017
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations.
J. Mach. Learn. Res., 2017
ERCIM News, 2017
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Proceedings of the Geometric Science of Information - Third International Conference, 2017
2016
IEEE Trans. Medical Imaging, 2016
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease.
Proceedings of the Spectral and Shape Analysis in Medical Imaging, 2016
How to Build an Average Model When Samples are Variably Incomplete? Application to Fossil Data.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
SIAM J. Imaging Sci., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data.
Proceedings of the Information Processing in Medical Imaging, 2015
Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms.
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the Geometric Science of Information - Second International Conference, 2015
2014
Morphometry of anatomical shape complexes with dense deformations and sparse parameters.
NeuroImage, 2014
Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Geodesic regression of image and shape data for improved modeling of 4D trajectories.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data.
Int. J. Comput. Vis., 2013
Int. J. Comput. Vis., 2013
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013
Improving Efficiency of Data Assimilation Procedure for a Biomechanical Heart Model by Representing Surfaces as Currents.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Longitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopment.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot.
IEEE Trans. Medical Imaging, 2011
Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents.
NeuroImage, 2011
Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
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).
PhD thesis, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Medical Image Anal., 2009
A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
2008
Inferring brain variability from diffeomorphic deformations of currents: An integrative approach.
Medical Image Anal., 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007