Olivier Colliot
Orcid: 0000-0002-9836-654X
According to our database1,
Olivier Colliot
authored at least 124 papers
between 2002 and 2024.
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Bibliography
2024
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI.
BMC Medical Imaging, December, 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET.
CoRR, 2024
2023
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse.
Medical Image Anal., October, 2023
CoRR, 2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data.
CoRR, 2023
How can data augmentation improve attribution maps for disease subtype explainability.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Multilevel Survival Modeling With Structured Penalties for Disease Prediction From Imaging Genetics Data.
IEEE J. Biomed. Health Informatics, 2022
Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders.
IEEE J. Biomed. Health Informatics, 2022
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse.
Medical Image Anal., 2022
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI.
CoRR, 2022
ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing.
Comput. Methods Programs Biomed., 2022
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set.
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
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
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.
Frontiers Neuroinformatics, 2021
Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis.
CoRR, 2021
Briefings Bioinform., 2021
Association and prediction of phenotypic traits from neuroimaging data using a multi-component mixed model excluding the target vertex.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 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
J. Cogn. Neurosci., 2020
Int. J. Comput. Vis., 2020
Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort.
CoRR, 2020
Visualization approach to assess the robustness of neural networks for medical image classification.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyses of Grey-Matter.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis.
Medical Image Anal., 2019
ERCIM News, 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.
CoRR, 2019
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data.
Proceedings of the Medical Imaging 2019: Image Processing, 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
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage, 2018
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
Converting Alzheimer's Disease Map into a Heavyweight Ontology: A Formal Network to Integrate Data.
Proceedings of the Data Integration in the Life Sciences - 13th International Conference, 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
Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis.
NeuroImage, 2017
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes.
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
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI.
CoRR, 2017
Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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
Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics Data.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 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
2016
IEEE Trans. Medical Imaging, 2016
Neuroinformatics, 2016
Robust imaging of hippocampal inner structure at 7T: in vivo acquisition protocol and methodological choices.
CoRR, 2016
Intra-subject multi-slab registration: Application to hippocampal ultra-high resolution imaging at 7T.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016
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
2014
NeuroImage, 2014
Fast Template-based Shape Analysis Using Diffeomorphic Iterative Centroid.
Proceedings of the Medical Image Understanding and Analysis, 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
2013
Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Template Estimation for Large Database: A Diffeomorphic Iterative Centroid Method Using Currents.
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
Automatic hippocampal segmentation in temporal lobe epilepsy: Impact of developmental abnormalities.
NeuroImage, 2012
Automatic segmentation of white matter hyperintensities robust to multicentre acquisition and pathological variability.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
IEEE Trans. Medical Imaging, 2011
Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database.
NeuroImage, 2011
Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome.
Medical Image Anal., 2011
T 1 Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Automatic segmentation of age-related white matter changes on flair images: Method and multicentre validation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Spatially Regularized SVM for the Detection of Brain Areas Associated with Stroke Outcome.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging.
NeuroImage, 2009
Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validation.
NeuroImage, 2009
Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?
NeuroImage, 2009
3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models.
Fuzzy Sets Syst., 2009
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images.
Pattern Recognit., 2008
Surface-Based Vector Analysis Using Heat Equation Interpolation: A New Approach to Quantify Local Hippocampal Volume Changes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
Fully automatic hippocampus segmentation discriminates between early Alzheimer's disease and normal aging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Automatic detection of subtle focal cortical dysplasia using surface-based features on MRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Explicit Incorporation of Prior Anatomical Information Into a Nonrigid Registration of Thoracic and Abdominal CT and 18-FDG Whole-Body Emission PET Images.
IEEE Trans. Medical Imaging, 2007
Fully Automatic Segmentation of the Hippocampus and the Amygdala from MRI Using Hybrid Prior Knowledge.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2006
IEEE Trans. Syst. Man Cybern. Part B, 2006
Integration of fuzzy spatial relations in deformable models - Application to brain MRI segmentation.
Pattern Recognit., 2006
NeuroImage, 2006
NeuroImage, 2006
Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
Fusion of spatial relationships for guiding recognition, example of brain structure recognition in 3D MRI.
Pattern Recognit. Lett., 2005
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Mathematical Modeling of the Relationship "between" Based On Morphological Operators.
Proceedings of the Mathematical Morphology: 40 Years On, 2005
2004
Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation.
Real Time Imaging, 2004
Approximate reflectional symmetries of fuzzy objects with an application in model-based object recognition.
Fuzzy Sets Syst., 2004
Description of brain internal structures by means of spatial relations for MR image segmentation.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
2003
Représentation, évaluation et utilisation de relations spatiales pour l'interprétation d'images. Application à la reconnaissance de structures anatomiques en imagerie médicale. (Representation, evaluation and use of spatial relations for image understanding. Application to anatomical structures recognition in medical imaging).
PhD thesis, 2003
Pattern Recognit. Lett., 2003
2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002