Sterling C. Johnson
Orcid: 0000-0002-8501-545XAffiliations:
- University of Wisconsin-Madison, Department of Medicine
- Dartmouth Hitchcock Medical Center, Cognitive Imaging Laboratory
According to our database1,
Sterling C. Johnson
authored at least 59 papers
between 1998 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2000
2005
2010
2015
2020
0
1
2
3
4
5
6
7
8
9
1
1
1
1
1
2
1
2
2
1
1
2
2
3
1
4
1
2
2
3
5
5
4
4
1
2
1
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices.
npj Digit. Medicine, 2024
2023
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023
2022
2021
PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome.
NeuroImage, 2021
2020
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.
NeuroImage, 2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR, 2020
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
2019
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease.
Brain Connect., 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2017
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM.
NeuroImage, 2017
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective.
CoRR, 2017
Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging.
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease.
NeuroImage, 2015
The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function.
NeuroImage, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness.
NeuroImage, 2014
Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches.
NeuroImage, 2012
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2011
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population.
NeuroImage, 2011
MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
2010
Age-related changes in neural volume and microstructure associated with interleukin-6 are ameliorated by a calorie-restricted diet in old rhesus monkeys.
NeuroImage, 2010
A within-subject comparison of 6-[18F]Fluoro-m-Tyrosine (FMT) and 6-[18F]Fluoro-l-DOPA (FDOPA) in Parkinson disease (PD).
NeuroImage, 2010
2009
NeuroImage, 2009
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.
NeuroImage, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
2008
Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging.
NeuroImage, 2008
2006
Application of Brodmann's area templates for ROI selection in white matter tractography studies.
NeuroImage, 2006
NeuroImage, 2006
NeuroImage, 2006
NeuroImage, 2006
2005
J. Cogn. Neurosci., 2005
2004
NeuroImage, 2004
Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter.
NeuroImage, 2004
1998
Proceedings of the 6th ACM International Conference on Multimedia '98, 1998