Stanley DURRLEMAN
4 papers · 2015–2021 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12)
🏆
Keyword Champion
(2)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Healthcare & Medicine
(3)
Optimization & Theory
(3)
Clinical
(2)
Core Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Domain-Specific
(1)
Mathematics
(1)
Research
(1)
Keywords
riemannian geometry
(2)
manifold-valued data
(2)
bayesian mixed-effects model
(2)
disease progression
(2)
riemannian manifold
(2)
expectation-maximization algorithm
(2)
longitudinal data
(2)
mixed-effects model
(2)
spatiotemporal trajectory
(1)
longitudinal data analysis
(1)
medical imaging
(1)
shape trajectory
(1)
expectation maximization
(1)
medical image analysis
(1)
markov chain monte carlo
(1)
alzheimer disease
(1)
longitudinal analysis
(1)
spatiotemporal transformation
(1)
neuropsychological assessment
(1)
Papers
Learning Riemannian metric for disease progression modeling
NeurIPS 2021
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