Stanley Durrleman

Orcid: 0000-0002-9450-6920

According to our database1, Stanley Durrleman authored at least 89 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Progression Models for Imaging Data with Longitudinal Variational Auto Encoders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Riemannian Metric Learning for Progression Modeling of Longitudinal Datasets.
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

Learning Riemannian metric for disease progression modeling.
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

Mixture Modeling for Identifying Subtypes in Disease Course Mapping.
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

Learning the spatiotemporal variability in longitudinal shape data sets.
Int. J. Comput. Vis., 2020

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
CoRR, 2020

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders.
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

Learning Disease Progression Models With Longitudinal Data and Missing Values.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Riemannian Geometry Learning for Disease Progression Modelling.
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
Double Diffeomorphism: Combining Morphometry and Structural Connectivity Analysis.
IEEE Trans. Medical Imaging, 2018

A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds.
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

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface.
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

Deformetrica 4: An Open-Source Software for Statistical Shape Analysis.
Proceedings of the Shape in Medical Imaging, 2018

Geodesic Discriminant Analysis for Manifold-Valued Data.
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

Geodesic shape regression with multiple geometries and sparse parameters.
Medical Image Anal., 2017

A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations.
J. Mach. Learn. Res., 2017

Modelling Neurodegenerative Diseases from Multimodal Medical Images.
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

White Matter Fiber Segmentation Using Functional Varifolds.
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

Parallel Transport in Shape Analysis: A Scalable Numerical Scheme.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles.
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
Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model.
SIAM J. Imaging Sci., 2015

Learning spatiotemporal trajectories from manifold-valued longitudinal data.
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

A Sub-Riemannian Modular Approach for Diffeomorphic Deformations.
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

Sparse Adaptive Parameterization of Variability in Image Ensembles.
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

Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Geodesic Shape Regression in the Framework of Currents.
Proceedings of the Information Processing in Medical Imaging, 2013

Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms.
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
A framework for longitudinal data analysis via shape regression.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling.
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

Lung CT registration combining intensity, curves and surfaces.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Statistical models of sets of curves and surfaces based on currents.
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

A Statistical Model of White Matter Fiber Bundles Based on Currents.
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

Sparse Approximation of Currents for Statistics on Curves and Surfaces.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007


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