Следене
William R. Gray-Roncal, Ph.D.
William R. Gray-Roncal, Ph.D.
Johns Hopkins University Applied Physics Laboratory
Потвърден имейл адрес: jhu.edu
Заглавие
Позовавания
Позовавания
Година
Saturated reconstruction of a volume of neocortex
N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ...
Cell 162 (3), 648-661, 2015
10092015
Functional connectomics spanning multiple areas of mouse visual cortex
MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ...
BioRxiv, 2021.07. 28.454025, 2021
1092021
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
832012
Quantifying mesoscale neuroanatomy using X-ray microtomography
EL Dyer, WG Roncal, JA Prasad, HL Fernandes, D Gürsoy, V De Andrade, ...
eneuro 4 (5), 2017
822017
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
642018
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
592013
Magnetic resonance connectome automated pipeline: an overview
WR Gray, JA Bogovic, JT Vogelstein, BA Landman, JL Prince, ...
IEEE pulse 3 (2), 42-48, 2012
552012
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
532013
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
432021
A high-throughput pipeline identifies robust connectomes but troublesome variability
G Kiar, EW Bridgeford, WRG Roncai, ...
Biorxiv, 188706, 2017
42*2017
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
392017
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
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
382021
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, 149964, 2015
342015
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), 13045, 2021
262021
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
ndmg: Neurodata’s mri graphs pipeline
G Kiar, WG Roncal, D Mhembere, E Bridgeford, R Burns, J Vogelstein
Zenodo, 2016
202016
The Block Object Storage Service (bossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery
DM Kleissas, R Hider Jr, D Pryor, T Gion, P Manavalan, J Matelsky, ...
bioRxiv, 217745, 2017
192017
A three-dimensional thalamocortical dataset for characterizing brain heterogeneity
JA Prasad, AH Balwani, EC Johnson, JD Miano, V Sampathkumar, ...
Scientific Data 7 (1), 358, 2020
182020
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery
R Hider Jr, D Kleissas, T Gion, D Xenes, J Matelsky, D Pryor, L Rodriguez, ...
Frontiers in Neuroinformatics 16, 828787, 2022
172022
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