John D. Van Horn

According to our database, John D. Van Horn authored at least 89 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Twenty Years of Neuroinformatics: A Bibliometric Analysis.

Miguel Guillén-Pujadas, David Alaminos, Emili Vizuete Luciano, José M. Merigó, John D. Van Horn

Neuroinformatics, January, 2025

2024

Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?

Rachel M. Edelstein, Sterling Gutterman, Benjamin Newman, John Darrell Van Horn

Neuroinformatics, October, 2024

Bridging the Gap: How Neuroinformatics is Preparing the Next Generation of Neuroscience Researchers.

Mathew Birdsall Abrams, John Darrell Van Horn

Neuroinformatics, October, 2024

Towards Comprehensive Connectivity Modeling.

Campbell Coleman, John Darrell Van Horn

Neuroinformatics, July, 2024

Editorial: On the Economics of Neuroscientific Data Sharing.

John Darrell Van Horn

Neuroinformatics, January, 2024

2023

Editorial: Is Now the Time for Foundational Theory of Brain Connectivity?

John Darrell Van Horn, Zachary J. Jacokes, Benjamin Newman, Teague Henry

Neuroinformatics, October, 2023

On the Long-term Archiving of Research Data.

Cyril R. Pernet, Claus Svarer, Ross Blair, John D. Van Horn, Russell A. Poldrack

Neuroinformatics, April, 2023

Editorial: What the New White House Rules on Equitable Access Mean for the Neurosciences.

John Darrell Van Horn

Neuroinformatics, January, 2023

2022

Editorial.

John Darrell Van Horn

Neuroinformatics, 2022

2021

BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science.

José Luis Ambite, Lily Fierro, Jonathan Gordon, Gully A. P. C. Burns, Florian Geigl, Kristina Lerman, John D. Van Horn

IEEE Trans. Emerg. Top. Comput., 2021

Mapping the rest of the human connectome: Atlasing the spinal cord and peripheral nervous system.

Andrei Irimia, John Darrell Van Horn

NeuroImage, 2021

Bridging the Brain and Data Sciences.

John Darrell Van Horn

Big Data, 2021

2019

What Is Old Is New Again: Investigating and Analyzing the Mysteries of the Claustrum.

John Darrell Van Horn

Neuroinformatics, 2019

The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data.

Hosung Kim, Andrei Irimia, Sam Hobel, Mher Pogosyan, Haoteng Tang, Petros Petrosyan, Rita Esquivel Castelo Blanco, Ben A. Duffy, Lu Zhao, Karen L. Crawford, Sook-Lei Liew, Kristi Clark, Meng Law, Pratik Mukherjee, Geoffrey T. Manley, John D. Van Horn, Arthur W. Toga

Frontiers Neuroinformatics, 2019

Advancing the international data science workforce through shared training and education.

John D. Van Horn, Sumiko Abe, José Luis Ambite, Teresa K. Attwood, Niall Beard, Louisa Bellis, Avnish Bhattrai, Alex A. T. Bui, Gully Burns, Lily Fierro, Jonathan Gordon, Jeffrey S. Grethe, Jeana Kamdar, Xiaoyu Lei, Kristina Lerman, Annette McGrath, Nicola J. Mulder, Caroline O'Driscoll, Crystal Stewart, Sonika Tyagi

F1000Research, 2019

2018

Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach.

Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer

NeuroImage, 2018

Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex.

Andrei Irimia, Xiaoyu Lei, Carinna M. Torgerson, Zachary J. Jacokes, Sumiko Abe, John D. Van Horn

Frontiers Comput. Neurosci., 2018

The principles of tomorrow's university.

Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew S. Mayernik, Erin C. McKiernan, Chris Mentzel, Nirav C. Merchant, Kyle E. Niemeyer, Laura Norén, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matthew J. Turk, John D. Van Horn, Jay Walsh

F1000Research, 2018

Democratizing data science through data science training.

John Darrell Van Horn, Lily Fierro, Jeana Kamdar, Jonathan Gordon, Crystal Stewart, Avnish Bhattrai, Sumiko Abe, Xiaoxiao Lei, Caroline O'Driscoll, Aakanchha Sinha, Priyambada Jain, Gully Burns, Kristina Lerman, José Luis Ambite

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

Envisioning the future of 'big data' biomedicine.

Alex A. T. Bui, John Darrell Van Horn, N. I. H. BD2K Centers Consortium

J. Biomed. Informatics, 2017

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach.

Xu Han, Roland Kwitt, Stephen R. Aylward, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer

CoRR, 2017

BD2K ERuDIte: the Educational Resource Discovery Index for Data Science.

José Luis Ambite, Lily Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, John D. Van Horn

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

The Training of Next Generation Data Scientists in Biomedicine.

Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

The BD2K Training Coordinating Center's Data Science Education Platform.

José Luis Ambite, Lily T. Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, Jeana Kamdar, Crystal Stewart, Avnish Bhattrai, Xiaoyu Lei, Sumiko Abe, John D. Van Horn

Proceedings of the AMIA 2017, 2017

2016

Opinion: Big data biomedicine offers big higher education opportunities.

John Darrell Van Horn

Proc. Natl. Acad. Sci. USA, 2016

MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI.

Qiuyun Fan, Thomas Witzel, Aapo Nummenmaa, Koene R. A. Van Dijk, John D. Van Horn, Michelle K. Drews, Leah H. Somerville, Margaret A. Sheridan, Rosario M. Santillana, Jenna Snyder, Trey Hedden, Emily E. Shaw, Marisa O. Hollinshead, Ville Renvall, Roberta Zanzonico, Boris Keil, Stephen F. Cauley, Jonathan R. Polimeni, M. Dylan Tisdall, Randy L. Buckner, Van J. Wedeen, Lawrence L. Wald, Arthur W. Toga, Bruce R. Rosen

NeuroImage, 2016

Sharing the wealth: Neuroimaging data repositories.

Simon B. Eickhoff, Thomas E. Nichols, John D. Van Horn, Jessica A. Turner

NeuroImage, 2016

Connected brains and minds - The UMCD repository for brain connectivity matrices.

Jesse A. Brown, John D. Van Horn

NeuroImage, 2016

A Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures.

Carl Lederman, Anand A. Joshi, Ivo D. Dinov, John Darrell Van Horn, Luminita A. Vese, Arthur W. Toga

J. Math. Imaging Vis., 2016

Modeling 4D pathological changes by leveraging normative models.

Bo Wang, Marcel Prastawa, Andrei Irimia, Avishek Saha, Wei Liu, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn, Guido Gerig

Comput. Vis. Image Underst., 2016

Scale-Dependent Variability and Quantitative Regimes in Graph-Theoretic Representations of Human Cortical Networks.

Andrei Irimia, John Darrell Van Horn

Brain Connect., 2016

2015

Big biomedical data as the key resource for discovery science.

Arthur W. Toga, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Kyle Chard, Eric W. Deutsch, Nathan D. Price, Gustavo Glusman, Benjamin D. Heavner, Ivo D. Dinov, Joseph Ames, John D. Van Horn, Roger Kramer, Leroy E. Hood

J. Am. Medical Informatics Assoc., 2015

Going beyond the current neuroinformatics infrastructure.

Xi Cheng, Daniel S. Marcus, John D. Van Horn, Qian Luo, Venkata S. Mattay, Daniel R. Weinberger

Frontiers Neuroinformatics, 2015

Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders.

Carinna M. Torgerson, Andrei Irimia, S.-Y. Matthew Goh, John D. Van Horn

Proceedings of the Data Integration in the Life Sciences - 11th International Conference, 2015

Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury.

Andrei Irimia, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn

Proceedings of the Data Integration in the Life Sciences - 11th International Conference, 2015

Quality Control Considerations for the Effective Integration of Neuroimaging Data.

Sumiko Abe, Andrei Irimia, John Darrell Van Horn

Proceedings of the Data Integration in the Life Sciences - 11th International Conference, 2015

2014

Interoperable atlases of the human brain.

Katrin Amunts, Michael Hawrylycz, David C. Van Essen, John D. Van Horn, Noam Harel, Jean-Baptiste Poline, Federico De Martino, Jan G. Bjaalie, Ghislaine Dehaene-Lambertz, Stanislas Dehaene, Pedro A. Valdés-Sosa, Bertrand Thirion, Karl Zilles, Sean L. Hill, Mathew Birdsall Abrams, Peter A. Tass, Wim Vanduffel, Alan C. Evans, Simon B. Eickhoff

NeuroImage, 2014

A case study in connectomics: the history, mapping, and connectivity of the claustrum.

Carinna Margaret Torgerson, John Darrell Van Horn

Frontiers Neuroinformatics, 2014

Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury.

S. Y. Matt Goh, Andrei Irimia, Carinna M. Torgerson, John D. Van Horn

Frontiers Neuroinformatics, 2014

High-throughput neuroimaging-genetics computational infrastructure.

Ivo D. Dinov, Petros Petrosyan, Zhizhong Liu, Paul R. Eggert, Sam Hobel, Seok Woo Moon, John D. Van Horn, Joe Franco, Arthur W. Toga

Frontiers Neuroinformatics, 2014

4D active cut: An interactive tool for pathological anatomy modeling.

Bo Wang, Wei Liu, Marcel Prastawa, Andrei Irimia, Paul M. Vespa, John D. Van Horn, P. Thomas Fletcher, Guido Gerig

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance.

Yifei Lou, Andrei Irimia, Patricio A. Vela, Micah C. Chambers, John D. Van Horn, Paul M. Vespa, Allen R. Tannenbaum

IEEE Trans. Biomed. Eng., 2013

Pushing the limits of in vivo diffusion MRI for the Human Connectome Project.

Kawin Setsompop, R. Kimmlingen, E. Eberlein, Thomas Witzel, Julien Cohen-Adad, Jennifer A. McNab, Boris Keil, M. Dylan Tisdall, P. Hoecht, Peter Dietz, Stephen F. Cauley, V. Tountcheva, V. Matschl, V. H. Lenz, Keith Heberlein, Andreas Potthast, H. Thein, John D. Van Horn, Arthur W. Toga, F. Schmitt, D. Lehne, Bruce R. Rosen, Van J. Wedeen, Lawrence L. Wald

NeuroImage, 2013

The structural, connectomic and network covariance of the human brain.

Andrei Irimia, John D. Van Horn

NeuroImage, 2013

Why share data? Lessons learned from the fMRIDC.

John Darrell Van Horn, Michael S. Gazzaniga

NeuroImage, 2013

Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database.

Bo Wang, Marcel Prastawa, Avishek Saha, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Valerio Pascucci, Guido Gerig

Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI.

Bo Wang, Marcel Prastawa, Andrei Irimia, Micah C. Chambers, Neda Sadeghi, Paul M. Vespa, John D. Van Horn, Guido Gerig

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Graphical data mining of human cortical surface morphometry.

John D. Van Horn, Shantanu H. Joshi, Ian Bowman

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method.

S. Y. Matt Goh, Andrei Irimia, Carinna M. Torgerson, Ron Kikinis, Paul M. Vespa, John D. Van Horn

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Publication Bias in Neuroimaging Research: Implications for Meta-Analyses.

Robin Jennings, John D. Van Horn

Neuroinformatics, 2012

Study factors influencing ventricular enlargement in schizophrenia: A 20 year follow-up meta-analysis.

Angelo Sayo, Robin Jennings, John Darrell Van Horn

NeuroImage, 2012

Source cancellation profiles of electroencephalography and magnetoencephalography.

Andrei Irimia, John Darrell Van Horn, Eric Halgren

NeuroImage, 2012

Circular representation of human cortical networks for subject and population-level connectomic visualization.

Andrei Irimia, Micah C. Chambers, Carinna M. Torgerson, John D. Van Horn

NeuroImage, 2012

The Center for Computational Biology: resources, achievements, and challenges.

Arthur W. Toga, Ivo D. Dinov, Paul M. Thompson, Roger P. Woods, John D. Van Horn, David W. Shattuck, Douglas Stott Parker Jr.

J. Am. Medical Informatics Assoc., 2012

Electronic Data Capture, Representation, and Applications for Neuroimaging.

Jessica A. Turner, John Darrell Van Horn

Frontiers Neuroinformatics, 2012

The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis.

Jesse A. Brown, Jeffrey D. Rudie, Anita E. Bandrowski, John D. Van Horn, Susan Y. Bookheimer

Frontiers Neuroinformatics, 2012

Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives.

Ian Bowman, Shantanu H. Joshi, John D. Van Horn

Frontiers Neuroinformatics, 2012

A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury.

Bo Wang, Marcel Prastawa, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation.

Bo Wang, Marcel Prastawa, Suyash P. Awate, Andrei Irimia, Micah C. Chambers, Paul M. Vespa, John D. Van Horn, Guido Gerig

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Feature-similarity visualization of MRI cortical surface data.

Ian Bowman, Shantanu H. Joshi, Vaughan Greer, John Darrell Van Horn

Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012

2011

Resting-state fMRI can reliably map neural networks in children.

Moriah E. Thomason, Emily L. Dennis, Anand A. Joshi, Shantanu H. Joshi, Ivo D. Dinov, Catie Chang, Melissa L. Henry, Rebecca F. Johnson, Paul M. Thompson, Arthur W. Toga, Gary H. Glover, John D. Van Horn, Ian H. Gotlib

NeuroImage, 2011

The generation of tetrahedral mesh models for neuroanatomical MRI.

Carl Lederman, Anand A. Joshi, Ivo D. Dinov, Luminita A. Vese, Arthur W. Toga, John Darrell Van Horn

NeuroImage, 2011

Quantitative in vivo evidence for broad regional gradients in the timing of white matter maturation during adolescence.

John B. Colby, John D. Van Horn, Elizabeth R. Sowell

NeuroImage, 2011

Applications of the Pipeline Environment for Visual Informatics and Genomics Computations.

Ivo D. Dinov, Federica Torri, Fabio Macciardi, Petros Petrosyan, Zhizhong Liu, Alen Zamanyan, Paul R. Eggert, Jonathan Pierce, Alex Genco, James A. Knowles, Andrew P. Clark, John D. Van Horn, Joseph Ames, Carl Kesselman, Arthur W. Toga

BMC Bioinform., 2011

Visual navigation and classification of datasets in feature similarity space.

Ian Bowman, Shantanu H. Joshi, John D. Van Horn

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2011

Geometric Metamorphosis.

Marc Niethammer, Gabriel L. Hart, Danielle F. Pace, Paul M. Vespa, Andrei Irimia, John D. Van Horn, Stephen R. Aylward

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Brain pattern analysis of cortical valued distributions.

Shantanu H. Joshi, Ian Bowman, Arthur W. Toga, John D. Van Horn

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Query-based coordinated multiple views with Feature Similarity Space for visual analysis of MRI repositories.

Ian Bowman, Shantanu H. Joshi, John Darrell Van Horn

Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

Fast edge-filtered image upsampling.

Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, Arthur W. Toga, John D. Van Horn

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

LONI MiND: Metadata in NIfTI for DWI.

Vishal Patel, Ivo D. Dinov, John D. Van Horn, Paul M. Thompson, Arthur W. Toga

NeuroImage, 2010

Visual mining of neuro-metaspaces.

Shantanu H. Joshi, Ian Bowman, Robin Jennings, David Hasson, Zhizhong Liu, Arthur W. Toga, John D. Van Horn

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

Tetrahedral mesh generation for medical images with multiple regions using active surfaces.

Carl Lederman, Anand A. Joshi, Ivo D. Dinov, John D. Van Horn, Luminita A. Vese, Arthur W. Toga

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Large-scale neuroanatomical visualization using a manifold embedding approach.

Shantanu H. Joshi, Ian Bowman, John D. Van Horn

Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

2009

Unique and persistent individual patterns of brain activity across different memory retrieval tasks.

Michael B. Miller, Christa-Lynn Donovan, John D. Van Horn, Elaine German, Peter Sokol-Hessner, George L. Wolford

NeuroImage, 2009

Is it time to re-prioritize neuroimaging databases and digital repositories?

John Darrell Van Horn, Arthur W. Toga

NeuroImage, 2009

Interactive exploration of neuroanatomical meta-spaces.

Shantanu H. Joshi, John D. Van Horn, Arthur W. Toga

Frontiers Neuroinformatics, 2009

Neuroimaging workflow design and data-mining: a Frontiers in Neuroinformatics special issue.

John D. Van Horn, Arthur W. Toga

Frontiers Neuroinformatics, 2009

Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline.

Ivo D. Dinov, John D. Van Horn, Kamen Lozev, Rico Magsipoc, Petros Petrosyan, Zhizhong Liu, Allan MacKenzie-Graham, Paul R. Eggert, Douglas Stott Parker, Arthur W. Toga

Frontiers Neuroinformatics, 2009

Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement.

Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

MRI Resolution Enhancement Using Total Variation Regularization.

Shantanu H. Joshi, Antonio Marquina, Stanley J. Osher, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Computational NeuroInformatics - From Database to Biomarker.

Arthur W. Toga, John D. Van Horn, John C. Mazziotta

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008

Domain-Specific Data Sharing in Neuroscience: What Do We Have to Learn from Each Other?

John Darrell Van Horn, Catherine A. Ball

Neuroinformatics, 2008

Provenance in neuroimaging.

Allan MacKenzie-Graham, John D. Van Horn, Roger P. Woods, Karen L. Crawford, Arthur W. Toga

NeuroImage, 2008

Neural substrates of visuomotor learning based on improved feedback control and prediction.

Scott T. Grafton, Paul J. Schmitt, John D. Van Horn, Jörn Diedrichsen

NeuroImage, 2008

Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment.

Allan MacKenzie-Graham, Arash Payan, Ivo D. Dinov, John D. Van Horn, Arthur W. Toga

Proceedings of the Provenance and Annotation of Data and Processes, 2008

2007

Mapping the Human Brain: New Insights from fMRI Data Sharing.

John Darrell Van Horn, Alumit Ishai

Neuroinformatics, 2007

2006

Alcohol-induced suppression of BOLD activity during goal-directed visuomotor performance.

John Darrell Van Horn, Melana Yanos, Paul J. Schmitt, Scott T. Grafton

NeuroImage, 2006

Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation.

Jana Schaich Borg, Catherine Hynes, John D. Van Horn, Scott T. Grafton, Walter Sinnott-Armstrong

J. Cogn. Neurosci., 2006

2005

Functional Connectivity: Integrating Behavioral, Diffusion Tensor Imaging, and Functional Magnetic Resonance Imaging Data Sets.

Abigail A. Baird, Mary K. Colvin, John Darrell Van Horn, Souheil J. Inati, Michael S. Gazzaniga

J. Cogn. Neurosci., 2005