PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome.

[BibT_eX]

[DOI]

Matthew D. Zammit

Dana L. Tudorascu

NeuroImage, 2021

2020

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

[BibT_eX]

[DOI]

Theodore D. Satterthwaite

Nikolaos Koutsouleris

Christos Davatzikos

NeuroImage, 2020

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ciprian M. Crainiceanu

Bradley T. Christian

Dana L. Tudorascu

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.

[BibT_eX]

[DOI]

Brain Connect., 2019

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Felipe Gutierrez-Barragan

NeuroImage, 2017

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective.

[BibT_eX]

[DOI]

CoRR, 2017

Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Online Graph Completion: Multivariate Signal Recovery in Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

The Incremental Multiresolution Matrix Factorization Algorithm.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vamsi K. Ithapu

Vikas Singh

Sterling C. Johnson

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.

[BibT_eX]

[DOI]

Hao Henry Zhou

Vamsi K. Ithapu

Sathya Narayanan Ravi

Vikas Singh

Grace Wahba

Sterling C. Johnson

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Experimental Design on a Budget for Sparse Linear Models and Applications.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Abundant Inverse Regression Using Sufficient Reduction and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2015

The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function.

[BibT_eX]

[DOI]

NeuroImage, 2015

Multi-resolution statistical analysis on graph structured data in neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

On Statistical Analysis of Neuroimages with Imperfect Registration.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Statistical inference models for image datasets with systematic variations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2014

Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Speeding up Permutation Testing in Neuroimaging.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2012

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2011

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population.

[BibT_eX]

[DOI]

NeuroImage, 2011

MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]