Olivier Colliot
Olivier Colliot - Research Director at CNRS - ARAMIS Lab at the Paris Brain Institute (CNRS/Inria/Inserm/Sorbonne Universite)
72
Documents
Identifiants chercheurs
olivier-colliot- ResearcherId : B-2092-2012
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0000-0002-9836-654X
- IdRef : 085263893
- Arxiv : colliot_o_1
- ResearcherId : http://www.researcherid.com/rid/B-2092-2012
Présentation
Research Director at [CNRS](http://www.cnrs.fr/)
Head of the [ARAMIS Lab](http://www.aramislab.fr/), a joint team between [CNRS](http://www.cnrs.fr/), [Inria](http://www.inria.fr/), [Inserm](http://www.inserm.fr/) and [University Pierre and Marie Curie](http://www.upmc.fr/) at the [Paris Brain Institute (ICM)](http://www.icm-institute.org/), in co-direction with Stanley Durrleman.
Homepage: <https://www.aramislab.fr/perso/colliot/>
Email: olivier.colliot@cnrs.fr
Research Director at [CNRS](http://www.cnrs.fr/)
Head of the [ARAMIS Lab](http://www.aramislab.fr/), a joint team between [CNRS](http://www.cnrs.fr/), [Inria](http://www.inria.fr/), [Inserm](http://www.inserm.fr/) and [University Pierre and Marie Curie](http://www.upmc.fr/) at the [Paris Brain Institute (ICM)](http://www.icm-institute.org/), in co-direction with Stanley Durrleman.
Homepage: <https://www.aramislab.fr/perso/colliot/>
Email: olivier.colliot@cnrs.fr
Domaines de recherche
Intelligence artificielle [cs.AI]
Imagerie médicale
Apprentissage [cs.LG]
Traitement des images [eess.IV]
Publications
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Advances in the Clinica software platform for clinical neuroimaging studiesOHBM 2022 - Annual meeting of the Organization for Human Brain Mapping, Jun 2022, Glasgow, United Kingdom
Communication dans un congrès
hal-03728243v1
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Clinica: an open-source software platform for reproducible clinical neuroscience studiesMRI Together 2021 - A global workshop on Open Science and Reproducible MR Research, Dec 2021, Online, France
Communication dans un congrès
hal-03513920v1
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New longitudinal and deep learning pipelines in the Clinica software platformOHBM 2020 - Annual meeting of the Organization for Human Brain Mapping, Jun 2020, Montreal / Virtual, Canada
Communication dans un congrès
hal-02549242v1
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Learning joint shape and appearance representations with metamorphic auto-encodersMICCAI 2020 - 23rd International Conference on Image Computing and Computer Assisted Interventions, Oct 2020, Lima / Virtual, Peru
Communication dans un congrès
hal-03136537v1
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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data setVPH 2020 - Virtual Physiological Human 2020, Aug 2020, Paris / Virtual, France
Communication dans un congrès
hal-02979176v1
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New advances in the Clinica software platform for clinical neuroimaging studiesOHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Jun 2019, Roma, Italy. ⟨10.1016/j.neuroimage.2011.09.015⟩
Communication dans un congrès
hal-02132147v2
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How serious is data leakage in deep learning studies on Alzheimer's disease classification?2019 OHBM Annual meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02105133v2
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Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patientsOHBM 2019 - Organization for Human Brain Mapping Conference, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02098427v2
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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data setOHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Roma, Italy
Communication dans un congrès
hal-02090275v1
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Learning low-dimensional representations of shape data sets with diffeomorphic autoencodersIPMI 2019 : Information Processing in Medical Imaging, Jun 2019, Hong-Kong, China
Communication dans un congrès
hal-01963736v2
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Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI2019 OHBM Annual Meeting - Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02105134v2
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Deciphering the progression of PET alterations using surface-based spatiotemporal modelingOHBM 2019 - Annual meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy
Communication dans un congrès
hal-02134909v1
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Auto-encoding meshes of any topology with the current-splatting and exponentiation layersGeometry Meets Deep Learning @ ICCV 2019, Oct 2019, Séoul, South Korea
Communication dans un congrès
hal-02087586v2
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NODDI Highlights Promising New Markers In Presymptomatic C9orf72 CarriersOHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01758137v1
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Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial TrainingMICCAI 2018 – 21st International Conference On Medical Image Computing & Computer Assisted Intervention, Sep 2018, Granada, Spain. ⟨10.1007/978-3-030-00931-1_59⟩
Communication dans un congrès
hal-01810822v1
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A pipeline for the analysis of 18F-FDG PET data on the cortical surface and its evaluation on ADNIAnnual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01757646v1
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FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple SclerosisISMRM-ESMRMB 2018 - Joint Annual Meeting, Jun 2018, Paris, France. pp.1-6
Communication dans un congrès
hal-01723070v1
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Comparison of DTI Features for the Classification of Alzheimer's Disease: A Reproducible StudyOHBM 2018 - Organization for Human Brain Mapping Annual Meeting, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01758206v3
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Clinica: an open source software platform for reproducible clinical neuroscience studiesAnnual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapore, Singapore
Communication dans un congrès
hal-01760658v1
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Reproducible evaluation of Alzheimer's Disease classification from MRI and PET dataAnnual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore
Communication dans un congrès
hal-01761666v1
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Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible studyAAIC 2018 - Alzheimer's Association International Conference, Jul 2018, Chicago, United States
Communication dans un congrès
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Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphismsCVPR 2018 - Computer Vision and Pattern Recognition 2018, Jun 2018, Salt Lake City, United States
Communication dans un congrès
hal-01744538v3
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Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's DiseaseMachine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8
Communication dans un congrès
hal-01578479v1
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Early Diagnosis of Alzheimer’s Disease Using Subject-Specific Models of FDG-PET DataAAIC 2017 - Alzheimer's Association International Conference, Jul 2017, London, United Kingdom. pp.1-2, ⟨10.1016/j.jalz.2017.06.1618⟩
Communication dans un congrès
hal-01621383v1
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Diagnosis of Alzheimer’s Disease Through Identification of Abnormality Patterns in FDG PET Data30th Annual Congress of the European Association of Nuclear Medicine (EANM), Oct 2017, Vienna, Austria. pp.253 - 254, ⟨10.1007/s00259-017-3822-1⟩
Communication dans un congrès
hal-01632509v1
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Selection of amyloid positive pre-symptomatic subjects using automatic analysis of neuropsychological and MRI data for cost effective inclusion procedures in clinical trialsClinical Trials for Alzheimer's Disease, Nov 2017, Boston, United States. pp.295
Communication dans un congrès
hal-02098434v2
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Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline6th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Quebec City, Canada
Communication dans un congrès
hal-01563587v2
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Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trialsMultimodal Learning for Clinical Decision Support, Sep 2017, Quebec City, Canada
Communication dans un congrès
hal-01578422v1
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Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality PatternsComputational Methods for Molecular Imaging - [MICCAI 2017 Satellite Workshop], Sep 2017, Quebec City, Canada
Communication dans un congrès
hal-01567343v1
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Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networksMedical Image Computing and Computer Assisted Intervention, Sep 2017, Quebec City, Canada
Communication dans un congrès
hal-01540828v1
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White Matter Fiber Segmentation Using Functional VarifoldsMFCA 2017 - 6th MICCAI workshop on Mathematical Foundations of Computational Anatomy, Sep 2017, Québec, Canada. pp.92-100
Communication dans un congrès
hal-01589649v1
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Unified analysis of shape and structural connectivity of neural pathwaysOrganisation for Human Brain Mapping, 2015, Honolulu, United States
Communication dans un congrès
hal-01187461v1
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Joint Morphometry of Fiber Tracts and Gray Matter structures using Double DiffeomorphismsIPMI - Information Processing in Medical Imaging, Jun 2015, Isle of Skye, United Kingdom. pp.275-287, ⟨10.1007/978-3-319-19992-4_21⟩
Communication dans un congrès
hal-01142628v1
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Measuring the thickness of the hippocampal pyramidal layer using in vivo 7T MRIAnnual Meeting of the Organization for Human Brain Mapping, OHBM 2015, 2015, Honolulu, United States
Communication dans un congrès
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A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued dataIPMI - Information Processing in Medical Imaging
Communication dans un congrès
hal-01163213v1
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Mixed-effects model for the spatiotemporal analysis of longitudinal manifold-valued data5th MICCAI Workshop on Mathematical Foundations of Computational Anatomy, Oct 2015, Munich, Germany
Communication dans un congrès
hal-01245905v1
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Learning spatiotemporal trajectories from manifold-valued longitudinal dataNeural Information Processing Systems, Dec 2015, Montréal, Canada
Communication dans un congrès
hal-01163373v3
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Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease, mild cognitive impairment and elderly controlsMICCAI Workshop, Sep 2014, Cambridge, United States. pp.8
Communication dans un congrès
hal-01099081v1
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A Prototype Representation to Approximate White Matter Bundles with Weighted CurrentsMICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States
Communication dans un congrès
hal-01010702v1
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Multimodal neuroimaging study in presymptomatic GRN mutations carriers9th International Conference on Frontotemporal Dementias (ICFTD), Oct 2014, Vancouver, Canada
Communication dans un congrès
hal-01114134v1
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Bayesian Atlas Estimation for the Variability Analysis of Shape ComplexesMICCAI 2013 : Medical Image Computing and Computer Assisted Intervention, Sep 2013, Nagoya, Japan. pp.267-274, ⟨10.1007/978-3-642-40811-3_34⟩
Communication dans un congrès
hal-01188791v1
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Towards joint morphometry of white matter tracts and gray matter surfacesHuman Brain Mapping, 2013, Seattle, United States
Communication dans un congrès
hal-00816138v1
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How serious is data leakage in deep learning studies on Alzheimer’s disease classification?Organization for Human Brain Mapping (OHBM), Jun 2019, Roma, Italy
Poster de conférence
hal-03365742v1
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Building disease progression models from longitudinal biomarkers5th Annual Human Brain Project Summit, Oct 2017, Glasgow, United Kingdom
Poster de conférence
hal-02466386v1
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Learning spatio-temporal trajectories from manifold-valued longitudinal dataNeural Information Processing Systems, Dec 2015, Montréal, Canada. , Advances in Neural Information Processing Systems
Poster de conférence
hal-01245909v1
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