William R. Gray-Roncal, Ph.D.
William R. Gray-Roncal, Ph.D.
Johns Hopkins University Applied Physics Laboratory
Verified email at jhu.edu
Title
Cited by
Cited by
Year
Saturated reconstruction of a volume of neocortex
N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ...
Cell 162 (3), 648-661, 2015
6792015
Graph classification using signal-subgraphs: Applications in statistical connectomics
JT Vogelstein, WG Roncal, RJ Vogelstein, CE Priebe
IEEE transactions on pattern analysis and machine intelligence 35 (7), 1539-1551, 2012
692012
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience
R Burns, W Gray Roncal, D Kleissas, K Lillaney, P Manavalan, E Perlman, ...
arXiv preprint arXiv:1306.3543, 2013
522013
Quantifying mesoscale neuroanatomy using X-ray microtomography
EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ...
eneuro 4 (5), 2017
502017
Magnetic resonance connectome automated pipeline: an overview
WR Gray, JA Bogovic, JT Vogelstein, BA Landman, JL Prince, ...
IEEE pulse 3 (2), 42-48, 2012
492012
MIGRAINE: MRI graph reliability analysis and inference for connectomics
WG Roncal, ZH Koterba, D Mhembere, DM Kleissas, JT Vogelstein, ...
2013 IEEE Global Conference on Signal and Information Processing, 313-316, 2013
442013
Vesicle: volumetric evaluation of synaptic interfaces using computer vision at large scale
WG Roncal, M Pekala, V Kaynig-Fittkau, DM Kleissas, JT Vogelstein, ...
arXiv preprint arXiv:1403.3724, 2014
33*2014
Science in the cloud (SIC): A use case in MRI connectomics
G Kiar, KJ Gorgolewski, D Kleissas, WG Roncal, B Litt, B Wandell, ...
Giga Science 6 (5), gix013, 2017
312017
An automated images-to-graphs framework for high resolution connectomics
WR Gray Roncal, DM Kleissas, JT Vogelstein, P Manavalan, K Lillaney, ...
Frontiers in neuroinformatics 9, 20, 2015
292015
A high-throughput pipeline identifies robust connectomes but troublesome variability
G Kiar, EW Bridgeford, WRG Roncal, V Chandrashekhar, D Mhembere, ...
bioRxiv, 188706, 2018
25*2018
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs
D Mhembere, W Gray Roncal, D Sussman, CE Priebe, R Jung, S Ryman, ...
IEEE GlobalSIP, 2013
242013
A community-developed open-source computational ecosystem for big neuro data
JT Vogelstein, E Perlman, B Falk, A Baden, WG Roncal, ...
Nature methods 15 (11), 846-847, 2018
222018
ndmg: Neurodata’s mri graphs pipeline
G Kiar, WG Roncal, D Mhembere, E Bridgeford, R Burns, JT Vogelstein
Zenodo, 2016
162016
The Block Object Storage Service (bossDB): A cloud-native approach for petascale neuroscience discovery
DM Kleissas, R Hider, D Pryor, T Gion, P Manavalan, J Matelsky, A Baden, ...
bioRxiv, 217745, 2017
82017
Neural reconstruction integrity: A metric for assessing the connectivity accuracy of reconstructed neural networks
EP Reilly, JS Garretson, WR Gray Roncal, DM Kleissas, BA Wester, ...
Frontiers in neuroinformatics 12, 74, 2018
7*2018
Gradient-domain fusion for color correction in large EM image stacks
M Kazhdan, K Lillaney, W Roncal, D Bock, J Vogelstein, R Burns
arXiv preprint arXiv:1506.02079, 2015
72015
Eliminating accidental deviations to minimize generalization error with applications in connectomics and genomics
EW Bridgeford, S Wang, Z Yang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ...
Biorxiv, 802629, 2020
62020
Toward a reproducible, scalable framework for processing large neuroimaging datasets
EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ...
BioRxiv, 615161, 2019
62019
Container-based clinical solutions for portable and reproducible image analysis
J Matelsky, G Kiar, E Johnson, C Rivera, M Toma, W Gray-Roncal
Journal of digital imaging 31 (3), 315-320, 2018
62018
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience categories and subject descriptors
R Burns, W Gray Roncal, D Kleissas, K Lillaney, P Manavalan, ...
SSDBM. doi 10 (2484838.2484870), 2013
62013
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Articles 1–20