What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum. | 0 | 0.34 | 2019 |
The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. | 1 | 0.35 | 2019 |
Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex. | 0 | 0.34 | 2018 |
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach. | 3 | 0.41 | 2018 |
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science. | 0 | 0.34 | 2017 |
Envisioning the future of 'big data' biomedicine. | 2 | 0.38 | 2017 |
The BD2K Training Coordinating Center's Data Science Education Platform. | 0 | 0.34 | 2017 |
The Training of Next Generation Data Scientists in Biomedicine. | 0 | 0.34 | 2017 |
Connected brains and minds--The UMCD repository for brain connectivity matrices. | 2 | 0.38 | 2016 |
Big Data Biomedicine Offers Big Higher Education Opportunities | 0 | 0.34 | 2016 |
Modeling 4D pathological changes by leveraging normative models. | 1 | 0.36 | 2016 |
Sharing the wealth: Neuroimaging data repositories. | 6 | 0.46 | 2016 |
Integration Of Behavioral, Structural, Functional, And Genetic Data For The Study Of Autism Spectrum Disorders | 0 | 0.34 | 2015 |
Integration Of Multimodal Neuroimaging And Electroencephalography For The Study Of Acute Epileptiform Activity After Traumatic Brain Injury | 0 | 0.34 | 2015 |
Quality Control Considerations For The Effective Integration Of Neuroimaging Data | 1 | 0.37 | 2015 |
Going beyond the current neuroinformatics infrastructure | 0 | 0.34 | 2015 |
Big biomedical data as the key resource for discovery science. | 7 | 0.55 | 2015 |
A case study in connectomics: the history, mapping, and connectivity of the claustrum. | 0 | 0.34 | 2014 |
High-throughput neuroimaging-genetics computational infrastructure. | 4 | 0.43 | 2014 |
Interoperable atlases of the human brain. | 10 | 0.58 | 2014 |
Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury. | 2 | 0.36 | 2014 |
ANALYZING IMAGING BIOMARKERS FOR TRAUMATIC BRAIN INJURY USING 4D MODELING OF LONGITUDINAL MRI. | 3 | 0.43 | 2013 |
Multimodal deformable registration of traumatic brain injury MR volumes via the Bhattacharyya distance. | 2 | 0.36 | 2013 |
The structural, connectomic and network covariance of the human brain. | 1 | 0.36 | 2013 |
Modeling 4D Changes in Pathological Anatomy using Domain Adaptation: Analysis of TBI Imaging using a Tumor Database. | 3 | 0.38 | 2013 |
High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method | 1 | 0.35 | 2013 |
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. | 78 | 3.02 | 2013 |
The Center for Computational Biology: resources, achievements, and challenges. | 3 | 0.42 | 2012 |
Visual systems for interactive exploration and mining of large-scale neuroimaging data archives. | 3 | 0.43 | 2012 |
Circular representation of human cortical networks for subject and population-level connectomic visualization. | 25 | 0.96 | 2012 |
SEGMENTATION OF SERIAL MRI OF TBI PATIENTS USING PERSONALIZED ATLAS CONSTRUCTION AND TOPOLOGICAL CHANGE ESTIMATION. | 3 | 0.54 | 2012 |
Electronic Data Capture, Representation, and Applications for Neuroimaging. | 2 | 0.45 | 2012 |
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis. | 19 | 1.05 | 2012 |
Publication Bias in Neuroimaging Research: Implications for Meta-Analyses. | 3 | 0.54 | 2012 |
Visual navigation and classification of datasets in feature similarity space | 1 | 0.36 | 2011 |
Applications of the Pipeline Environment for Visual Informatics and Genomics Computations. | 15 | 0.52 | 2011 |
Geometric metamorphosis. | 0 | 0.34 | 2011 |
Brain Pattern Analysis Of Cortical Valued Distributions | 5 | 1.00 | 2011 |
Fast Edge-Filtered Image Upsampling | 3 | 0.42 | 2011 |
Resting-state fMRI can reliably map neural networks in children. | 23 | 1.24 | 2011 |
LONI MiND: metadata in NIfTI for DWI. | 6 | 1.14 | 2010 |
Visual mining of neuro-metaspaces | 0 | 0.34 | 2010 |
Large-scale neuroanatomical visualization using a manifold embedding approach | 0 | 0.34 | 2010 |
MRI resolution enhancement using total variation regularization | 7 | 0.62 | 2009 |
Interactive exploration of neuroanatomical meta-spaces | 9 | 0.77 | 2009 |
Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline. | 45 | 1.87 | 2009 |
Computational NeuroInformatics - From Database to Biomarker | 0 | 0.34 | 2009 |
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement | 2 | 0.41 | 2009 |
Unique and persistent individual patterns of brain activity across different memory retrieval tasks. | 6 | 0.68 | 2009 |
Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment | 9 | 0.81 | 2008 |