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 (GlobalSIP, 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 013; Vince D. Calhoun; et al. (GlobalSIP, 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; et al. (SSDBM, 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)

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)

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)

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)

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)

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 (BMVC, 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)

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)

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 (EMBC, 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)

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)

SANTIAGO: Spine Association for Neuron Topology Improvement and Graph Optimization. - William R. Gray Roncal; Colin Lea; Akira Baruah; Gregory D. Hager (CoRR, 2016)

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 (eScience, 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)

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)

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 (ACSSC, 2019)

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 (MICCAI (5), 2020)

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 (EMBC, 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 (EMBC, 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 (ICIP, 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)

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. - Eric W. Bridgeford; Shangsi Wang; Zeyi Wang; Ting Xu 001; R. Cameron Craddock; Jayanta Dey; Gregory Kiar; William R. Gray Roncal; Carlo Colantuoni; Christopher Douville; Stephanie Noble; Carey E. Priebe; et al. (PLoS Comput. Biol., 2021)

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 (IJCNN, 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; et al. (NeurIPS, 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)

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)

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; et al. (CoRR, 2023)