Sterling C. Johnson
11 papers · 2014–2019 · 4 venues · across top CS/AI venues
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Research topics
Keywords
brain imaging
(4)
medical imaging
(2)
manifold-valued data
(2)
graph signal processing
(2)
statistical inference
(2)
generalized eigenvalue problem
(2)
riemannian manifold
(2)
longitudinal analysis
(2)
statistical analysis
(1)
wavelet analysis
(1)
domain adaptation
(1)
hypothesis testing
(1)
statistical testing
(1)
image registration
(1)
representation learning
(1)
pet imaging
(1)
high-dimensional regression
(1)
graph laplacian
(1)
image annotation
(1)
multivariate regression
(1)
Papers
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
ICCV 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
UAI 2019
Online Graph Completion: Multivariate Signal Recovery in Computer Vision
CVPR 2017
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
CVPR 2017
The Incremental Multiresolution Matrix Factorization Algorithm
CVPR 2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, β_2-consistency and Neuroscience Applications
ICML 2017
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
CVPR 2016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
On Statistical Analysis of Neuroimages With Imperfect Registration
ICCV 2015
Statistical Inference Models for Image Datasets With Systematic Variations
CVPR 2015
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
CVPR 2014