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ORCIDWilliam R. Gray Roncal
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2020 – today
- 2023
[i14]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 abs/2301.00345 (2023)- [i13]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 abs/2305.17300 (2023) - 2022
- [j7]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: 828458 (2022) - [j6]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: 828787 (2022) - [c13]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: 1-9 - [c12]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. NeurIPS 2022 - 2021
- [j5]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:
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17(9) (2021) - [c11]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: 2413-2418 - [c10]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: 2444-2450 - [c9]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: 141-145 - [i12]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 abs/2102.10106 (2021) - 2020
- [c8]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: 109-118
2010 – 2019
- 2019
- [c7]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: 1197-1201 - 2018
- [j4]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: 74 (2018) - [j3]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): 315-320 (2018) - [c6]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: 223-233 - 2016
- [c5]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: 4467-4470 - [i11]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 abs/1604.03199 (2016) - [i10]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 abs/1604.03629 (2016) - [i9]William R. Gray Roncal, Colin Lea, Akira Baruah, Gregory D. Hager:
SANTIAGO: Spine Association for Neuron Topology Improvement and Graph Optimization. CoRR abs/1608.02307 (2016) - 2015
- [j2]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: 20 (2015) - [c4]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: 81.1-81.13 - [i8]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 abs/1506.02079 (2015) - 2014
- [i7]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 abs/1403.3724 (2014) - [i6]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 abs/1404.4800 (2014) - [i5]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 abs/1405.1965 (2014) - [i4]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 abs/1411.6880 (2014) - 2013
- [j1]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): 1539-1551 (2013) - [c3]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: 297-300 - [c2]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: 313-316 - [c1]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: 27:1-27:11 - [i3]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 abs/1306.3543 (2013) - [i2]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 abs/1312.4318 (2013) - [i1]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 abs/1312.4875 (2013)
Coauthor Index
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