Olivier Colliot
6 papers · 2010–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (14) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(5)
👥
Mega-Team
(22)
🚀
Conference Pioneer
📈
Trend Setter
❓
The Questioner
Conferences
NIPS (2)
CVPR (1)
JMLR (1)
MICCAI (1)
MIDL (1)
Top co-authors
Keywords
bayesian mixed-effects model
(2)
riemannian geometry
(2)
manifold-valued datum
(2)
medical image analysis
(1)
markov chain monte carlo
(1)
alzheimer's disease
(1)
spatial regularization
(1)
brain image analysis
(1)
gray matter concentration
(1)
alzheimer disease
(1)
cortical thickness
(1)
expectation-maximization algorithm
(1)
support vector machine
(1)
longitudinal datum
(1)
mixed-effects model
(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
NIPS 2015
Spatial and anatomical regularization of SVM for brain image analysis
NIPS 2010