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William R. Gray-Roncal, Ph.D.
William R. Gray-Roncal, Ph.D.
Johns Hopkins University Applied Physics Laboratory
Geverifieerd e-mailadres voor jhu.edu
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Saturated reconstruction of a volume of neocortex
N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ...
Cell 162 (3), 648-661, 2015
8292015
Quantifying mesoscale neuroanatomy using X-ray microtomography
EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ...
eneuro 4 (5), 2017
782017
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
762012
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
562013
Magnetic resonance connectome automated pipeline: an overview
WR Gray, JA Bogovic, JT Vogelstein, BA Landman, JL Prince, ...
IEEE pulse 3 (2), 42-48, 2012
542012
A community-developed open-source computational ecosystem for big neuro data
JT Vogelstein, E Perlman, B Falk, A Baden, W Gray Roncal, ...
Nature methods 15 (11), 846-847, 2018
462018
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
45*2013
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
39*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
342017
An automated images-to-graphs framework for high resolution connectomics
WR Gray Roncal, DM Kleissas, JT Vogelstein, P Manavalan, K Lillaney, ...
Frontiers in neuroinformatics, 20, 2015
322015
A high-throughput pipeline identifies robust connectomes but troublesome variability
G Kiar, EW Bridgeford, WRG Roncal, V Chandrashekhar, D Mhembere, ...
bioRxiv, 188706, 2018
26*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
232013
Mine your own view: Self-supervised learning through across-sample prediction
M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ...
arXiv preprint arXiv:2102.10106, 2021
192021
ndmg: Neurodata’s mri graphs pipeline
G Kiar, W Gray Roncal, D Mhembere, E Bridgeford, R Burns, J Vogelstein
Zenodo, 2016
172016
The block object storage service (bossDB): A cloud-native approach for petascale neuroscience discovery
R Hider, DM Kleissas, D Pryor, T Gion, L Rodriguez, J Matelsky, ...
bioRxiv, 217745, 2019
142019
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics
EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ...
PLoS computational biology 17 (9), e1009279, 2021
132021
A three-dimensional thalamocortical dataset for characterizing brain heterogeneity
JA Prasad, AH Balwani, EC Johnson, JD Miano, V Sampathkumar, ...
Scientific Data 7 (1), 1-7, 2020
122020
DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries
JK Matelsky, EP Reilly, EC Johnson, J Stiso, DS Bassett, BA Wester, ...
Scientific reports 11 (1), 1-14, 2021
112021
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
112018
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
92018
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Artikelen 1–20