Learning the spatiotemporal variability in longitudinal shape data sets
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Learning the spatiotemporal variability in longitudinal shape data sets
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF COMPUTER VISION
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-02
DOI
10.1007/s11263-020-01343-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds
- (2018) Maxime Louis et al. SIAM JOURNAL ON NUMERICAL ANALYSIS
- Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort
- (2018) Claire Cury et al. NEUROIMAGE
- A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes
- (2017) Pietro Gori et al. MEDICAL IMAGE ANALYSIS
- A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging
- (2016) Murat Bilgel et al. NEUROIMAGE
- Hierarchical Geodesic Models in Diffeomorphisms
- (2015) Nikhil Singh et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model
- (2015) S. Allassonnière et al. SIAM Journal on Imaging Sciences
- Statistical analysis of trajectories on Riemannian manifolds: Bird migration, hurricane tracking and video surveillance
- (2014) Jingyong Su et al. Annals of Applied Statistics
- Morphometry of anatomical shape complexes with dense deformations and sparse parameters
- (2014) Stanley Durrleman et al. NEUROIMAGE
- 4-D Facial Expression Recognition by Learning Geometric Deformations
- (2014) Boulbaba Ben Amor et al. IEEE Transactions on Cybernetics
- Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data
- (2012) Stanley Durrleman et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Sparse Adaptive Parameterization of Variability in Image Ensembles
- (2012) Stanley Durrleman et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds
- (2012) P. Thomas Fletcher INTERNATIONAL JOURNAL OF COMPUTER VISION
- Approximate Bayesian computational methods
- (2011) Jean-Michel Marin et al. STATISTICS AND COMPUTING
- Robust Point Set Registration Using Gaussian Mixture Models
- (2010) Bing Jian et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Bayesian analysis of neuroimaging data in FSL
- (2008) Mark W. Woolrich et al. NEUROIMAGE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now