Initiative, T.A.D.N.[The Alzheimers Disease Neuroimaging]
* 2010: Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL: A Quantitative Approach
* 2012: Functional brain image classification using association rules defined over discriminant regions
* 2013: clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI, The
* 2014: Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain
* 2015: Hippocampal Segmentation Tool Within an Open Cloud Infrastructure, An
* 2015: Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data
* 2017: Alzheimer disease classification using KPCA, LDA, and multi-kernel learning SVM
* 2018: Learning Distributions of Shape Trajectories from Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms
* 2019: Sulcal and Cortical Features for Classification of Alzheimer's Disease and Mild Cognitive Impairment
* 2020: Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
* 2020: Learning the spatiotemporal variability in longitudinal shape data sets
Includes: Initiative, T.A.D.N.[The Alzheimers Disease Neuroimaging] Initiative, T.A.D.N.[The Alzheimer's Disease Neuroimaging]
11 for Initiative, T.A.D.N.