William R. Gray Roncal

According to our database, William R. Gray Roncal authored at least 30 papers between 2013 and 2023.

Collaborative distances:

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

2023

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence.

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

CoRR, 2023

2022

Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability.

Morgan Sanchez, Dymon Moore, Erik C. Johnson, Brock A. Wester, Jeff W. Lichtman, William R. Gray Roncal

Frontiers Neuroinformatics, 2022

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery.

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

Frontiers Neuroinformatics, 2022

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Continuous State Estimation With Synapse-constrained Connectivity.

Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.

Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William R. Gray Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael P. Milham, Xi-Nian Zuo, Joshua T. Vogelstein

PLoS Comput. Biol., 2021

Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction.

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

CoRR, 2021

Multi-Scale Modeling of Neural Structure in X-Ray Imagery.

Aishwarya H. Balwani, Joseph D. Miano, Ran Liu, Lindsey Kitchell, Judy A. Prasad, Erik C. Johnson, William R. Gray Roncal, Eva L. Dyer

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

An Integrated Toolkit for Extensible and Reproducible Neuroscience.

Jordan Matelsky, Luis M. Rodriguez, Daniel Xenes, Timothy Gion, Robert Hider, Brock A. Wester, William R. Gray Roncal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation.

Caitlyn Bishop, Jordan Matelsky, Miller Wilt, Joseph Downs, Patricia K. Rivlin, Stephen Plaza, Brock A. Wester, William R. Gray Roncal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity.

Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock A. Wester, Dean Kleissas, William R. Gray Roncal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Transfer Learning Analysis of Image Processing Workflows for Electron Microscopy Datasets.

Erik C. Johnson, Luis M. Rodriguez, Raphael Norman-Tenazas, Daniel Xenes, William R. Gray Roncal

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Container-Based Clinical Solutions for Portable and Reproducible Image Analysis.

Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal

J. Digit. Imaging, 2018

Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks.

Elizabeth Perez Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos

Frontiers Neuroinformatics, 2018

Building NDStore Through Hierarchical Storage Management and Microservice Processing.

Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016

SANTIAGO: Spine Association for Neuron Topology Improvement and Graph Optimization.

William R. Gray Roncal, Colin Lea, Akira Baruah, Gregory D. Hager

CoRR, 2016

From sample to knowledge: Towards an integrated approach for neuroscience discovery.

William R. Gray Roncal, Eva L. Dyer, Doga Gürsoy, Konrad P. Körding, Narayanan Kasthuri

CoRR, 2016

Quantifying mesoscale neuroanatomy using X-ray microtomography.

Eva L. Dyer, William R. Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri

CoRR, 2016

Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings.

Clara A. Scholl, Yu Mike Chi, Michael Elconin, William R. Gray Roncal, Mark A. Chevillet, Eric A. Pohlmeyer

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

An Automated Images-to-Graphs Framework for High Resolution Connectomics.

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

Frontiers Neuroinformatics, 2015

Gradient-Domain Fusion for Color Correction in Large EM Image Stacks.

Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns

CoRR, 2015

VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale.

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

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data.

Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan

CoRR, 2014

Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes.

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

CoRR, 2014

An Automated Images-to-Graphs Pipeline for High Resolution Connectomics.

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

CoRR, 2014

Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation.

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

CoRR, 2014

2013

Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics.

Joshua T. Vogelstein, William R. Gray Roncal, R. Jacob Vogelstein, Carey E. Priebe

IEEE Trans. Pattern Anal. Mach. Intell., 2013

The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.

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

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics.

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

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Computing scalable multivariate glocal invariants of large (brain-) graphs.

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

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013