Name
Affiliation
Papers
JOHN D VAN HORN
Laboratory of Neuro Imaging, University of California, Los Angeles CA
50
Collaborators
Citations 
PageRank 
177
316
28.50
Referers 
Referees 
References 
1499
1897
497
Search Limit
1001000
Title
Citations
PageRank
Year
What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum.00.342019
The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data.10.352019
Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex.00.342018
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach.30.412018
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science.00.342017
Envisioning the future of 'big data' biomedicine.20.382017
The BD2K Training Coordinating Center's Data Science Education Platform.00.342017
The Training of Next Generation Data Scientists in Biomedicine.00.342017
Connected brains and minds--The UMCD repository for brain connectivity matrices.20.382016
Big Data Biomedicine Offers Big Higher Education Opportunities00.342016
Modeling 4D pathological changes by leveraging normative models.10.362016
Sharing the wealth: Neuroimaging data repositories.60.462016
Integration Of Behavioral, Structural, Functional, And Genetic Data For The Study Of Autism Spectrum Disorders00.342015
Integration Of Multimodal Neuroimaging And Electroencephalography For The Study Of Acute Epileptiform Activity After Traumatic Brain Injury00.342015
Quality Control Considerations For The Effective Integration Of Neuroimaging Data10.372015
Going beyond the current neuroinformatics infrastructure00.342015
Big biomedical data as the key resource for discovery science.70.552015
A case study in connectomics: the history, mapping, and connectivity of the claustrum.00.342014
High-throughput neuroimaging-genetics computational infrastructure.40.432014
Interoperable atlases of the human brain.100.582014
Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury.20.362014
ANALYZING IMAGING BIOMARKERS FOR TRAUMATIC BRAIN INJURY USING 4D MODELING OF LONGITUDINAL MRI.30.432013
Multimodal deformable registration of traumatic brain injury MR volumes via the Bhattacharyya distance.20.362013
The structural, connectomic and network covariance of the human brain.10.362013
Modeling 4D Changes in Pathological Anatomy using Domain Adaptation: Analysis of TBI Imaging using a Tumor Database.30.382013
High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method10.352013
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project.783.022013
The Center for Computational Biology: resources, achievements, and challenges.30.422012
Visual systems for interactive exploration and mining of large-scale neuroimaging data archives.30.432012
Circular representation of human cortical networks for subject and population-level connectomic visualization.250.962012
SEGMENTATION OF SERIAL MRI OF TBI PATIENTS USING PERSONALIZED ATLAS CONSTRUCTION AND TOPOLOGICAL CHANGE ESTIMATION.30.542012
Electronic Data Capture, Representation, and Applications for Neuroimaging.20.452012
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis.191.052012
Publication Bias in Neuroimaging Research: Implications for Meta-Analyses.30.542012
Visual navigation and classification of datasets in feature similarity space10.362011
Applications of the Pipeline Environment for Visual Informatics and Genomics Computations.150.522011
Geometric metamorphosis.00.342011
Brain Pattern Analysis Of Cortical Valued Distributions51.002011
Fast Edge-Filtered Image Upsampling30.422011
Resting-state fMRI can reliably map neural networks in children.231.242011
LONI MiND: metadata in NIfTI for DWI.61.142010
Visual mining of neuro-metaspaces00.342010
Large-scale neuroanatomical visualization using a manifold embedding approach00.342010
MRI resolution enhancement using total variation regularization70.622009
Interactive exploration of neuroanatomical meta-spaces90.772009
Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline.451.872009
Computational NeuroInformatics - From Database to Biomarker00.342009
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement20.412009
Unique and persistent individual patterns of brain activity across different memory retrieval tasks.60.682009
Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment90.812008