Olivier Colliot
6 papers · 2010–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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Mega-Team · Squad
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Trend Setter
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The Questioner
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(4)
Healthcare & Medicine
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Clinical
(2)
Core Methods
(2)
Domain-Specific
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
expectation-maximization algorithm
(2)
mixed-effects model
(2)
riemannian geometry
(2)
manifold-valued data
(2)
bayesian mixed-effects model
(2)
alzheimer's disease
(1)
spatial regularization
(1)
brain image analysis
(1)
gray matter concentration
(1)
disease progression
(1)
alzheimer disease
(1)
riemannian manifold
(1)
cortical thickness
(1)
support vector machine
(1)
longitudinal data
(1)
longitudinal analysis
(1)
spatiotemporal transformation
(1)
neuropsychological assessment
(1)
spatiotemporal trajectory
(1)
longitudinal data analysis
(1)
Papers
Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
MICCAI 2024
Detecting Brain Anomalies in Clinical Routine with the $β$-VAE: Feasibility Study on Age-Related White Matter Hyperintensities
MIDL 2024
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms
CVPR 2018
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations
JMLR 2017
Learning spatiotemporal trajectories from manifold-valued longitudinal data
NeurIPS 2015
Spatial and anatomical regularization of SVM for brain image analysis
NeurIPS 2010