William R. Gray Roncal

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 18

Top Topics

Autonomous Navigation

High Resolution

Automatic Annotation

Graph Classification

Top Venues

Frontiers Neuroinformatics

Publications

Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR (2023)
Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR (2023)
Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann
Continuous State Estimation With Synapse-constrained Connectivity. IJCNN (2022)
Morgan Sanchez, Dymon Moore, Erik C. Johnson, Brock A. Wester, Jeff W. Lichtman, William R. Gray Roncal
Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. Frontiers Neuroinformatics 16 (2022)
Robert Hider, Dean Kleissas, Timothy Gion, Daniel Xenes, Jordan Matelsky, Derek Pryor, Luis M. Rodriguez, Erik C. Johnson, William R. Gray Roncal, Brock A. Wester
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers Neuroinformatics 16 (2022)
Caitlyn Bishop, Jordan Matelsky, Miller Wilt, Joseph Downs, Patricia K. Rivlin, Stephen Plaza, Brock A. Wester, William R. Gray Roncal
CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation. EMBC (2021)
Jordan Matelsky, Luis M. Rodriguez, Daniel Xenes, Timothy Gion, Robert Hider, Brock A. Wester, William R. Gray Roncal
An Integrated Toolkit for Extensible and Reproducible Neuroscience. EMBC (2021)
Mehdi Azabou, Mohammad Gheshlaghi Azar, Ran Liu, Chi-Heng Lin, Erik C. Johnson, Kiran Bhaskaran-Nair, Max Dabagia, Keith B. Hengen, William R. Gray Roncal, Michal Valko, Eva L. Dyer
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. CoRR (2021)
Aishwarya H. Balwani, Joseph D. Miano, Ran Liu, Lindsey Kitchell, Judy A. Prasad, Erik C. Johnson, William R. Gray Roncal, Eva L. Dyer
Multi-Scale Modeling of Neural Structure in X-Ray Imagery. ICIP (2021)
Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock A. Wester, Dean Kleissas, William R. Gray Roncal
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity. MICCAI (5) (2020)
Erik C. Johnson, Luis M. Rodriguez, Raphael Norman-Tenazas, Daniel Xenes, William R. Gray Roncal
Transfer Learning Analysis of Image Processing Workflows for Electron Microscopy Datasets. ACSSC (2019)
Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal
Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. J. Digit. Imaging 31 (3) (2018)
Elizabeth Perez Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos
Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks. Frontiers Neuroinformatics 12 (2018)
Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns
Building NDStore Through Hierarchical Storage Management and Microservice Processing. eScience (2018)
Clara A. Scholl, Yu Mike Chi, Michael Elconin, William R. Gray Roncal, Mark A. Chevillet, Eric A. Pohlmeyer
Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings. EMBC (2016)
William R. Gray Roncal, Colin Lea, Akira Baruah, Gregory D. Hager
SANTIAGO: Spine Association for Neuron Topology Improvement and Graph Optimization. CoRR (2016)
Eva L. Dyer, William R. Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri
Quantifying mesoscale neuroanatomy using X-ray microtomography. CoRR (2016)
William R. Gray Roncal, Eva L. Dyer, Doga Gürsoy, Konrad P. Körding, Narayanan Kasthuri
From sample to knowledge: Towards an integrated approach for neuroscience discovery. CoRR (2016)
William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. BMVC (2015)
Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns
Gradient-Domain Fusion for Color Correction in Large EM Image Stacks. CoRR (2015)
William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 9 (2014)
Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Ming Chuang, Priya Manavalan, Dean Kleissas, Joshua T. Vogelstein, R. Jacob Vogelstein, Randal C. Burns, Jeff W. Lichtman, Michael M. Kazhdan
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes. CoRR (2014)
William R. Gray Roncal, Verena Kaynig-Fittkau, Narayanan Kasthuri, Daniel R. Berger, Joshua T. Vogelstein, Lindsey R. Fernandez, Jeff W. Lichtman, R. Jacob Vogelstein, Hanspeter Pfister, Gregory D. Hager
Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation. CoRR (2014)
Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data. CoRR (2014)
William R. Gray Roncal, Dean Kleissas, Joshua T. Vogelstein, Priya Manavalan, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. CoRR (2014)
Joshua T. Vogelstein, William R. Gray Roncal, R. Jacob Vogelstein, Carey E. Priebe
Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics. IEEE Trans. Pattern Anal. Mach. Intell. 35 (7) (2013)
Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns
Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP (2013)
William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. CoRR (2013)
Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR (2013)
William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean M. Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. GlobalSIP (2013)
Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR (2013)
Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM (2013)