Eric W Bridgeford
Title
Cited by
Cited by
Year
Small-world propensity and weighted brain networks
SF Muldoon, EW Bridgeford, DS Bassett
Scientific reports 6 (1), 1-13, 2016
1652016
On a two-truths phenomenon in spectral graph clustering
CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ...
Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019
372019
Discovering and deciphering relationships across disparate data modalities
JT Vogelstein, EW Bridgeford, Q Wang, CE Priebe, M Maggioni, C Shen
Elife 8, e41690, 2019
312019
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
252018
A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability
G Kiar*, E Bridgeford*, WG Roncal, V Chandrashekhar, D Mhembere, ...
bioRxiv, 188706, 2018
25*2018
ndmg: NeuroData’s MRI Graphs pipeline
G Kiar, WG Roncal, D Mhembere, E Bridgeford, R Burns, JT Vogelstein
Zenodo, 2016
162016
Connectal coding: discovering the structures linking cognitive phenotypes to individual histories
JT Vogelstein, EW Bridgeford, BD Pedigo, J Chung, K Levin, B Mensh, ...
Current opinion in neurobiology 55, 199-212, 2019
152019
GraSPy: Graph Statistics in Python.
J Chung, BD Pedigo, EW Bridgeford, BK Varjavand, HS Helm, ...
J. Mach. Learn. Res. 20, 158:1-158:7, 2019
152019
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
J Yoder, L Chen, H Pao, E Bridgeford, K Levin, DE Fishkind, C Priebe, ...
Computational Statistics & Data Analysis 145, 106916, 2020
122020
Eliminating accidental deviations to minimize generalization error and maximize reliability: applications in connectomics and genomics
EW Bridgeford, S Wang, Z Yang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ...
BioRxiv, 802629, 2020
12*2020
Standardizing human brain parcellations
RM Lawrence, EW Bridgeford, PE Myers, GC Arvapalli, ...
Scientific data 8 (1), 1-9, 2021
10*2021
mgcpy: A comprehensive high dimensional independence testing python package
S Panda, S Palaniappan, J Xiong, A Swaminathan, S Ramachandran, ...
URL http://arxiv. org/abs/1907.02088 8, 2019
82019
Statistical connectomics
J Chung, E Bridgeford, J Arroyo, BD Pedigo, A Saad-Eldin, ...
Annual Review of Statistics and Its Application 8, 463-492, 2021
52021
Consortium for Reliability and Reproducibility (CoRR)
G Kiar, E Bridgeford, W Roncal
Chandrashekhar, V., Mhembere, D., Ryman, S., Zuo, X., Marguiles, D …, 2018
52018
hyppo: a comprehensive multivariate hypothesis testing Python package
S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ...
arXiv e-prints, arXiv: 1907.02088, 2019
32019
Geometric Dimensionality Reduction for Subsequent Classi-fication
JT Vogelstein, E Bridgeford, M Tang, D Zheng, R Burns, M Maggioni
stat 1050, 21, 2018
3*2018
Statistical analysis of data repeatability measures
Z Wang, E Bridgeford, S Wang, JT Vogelstein, B Caffo
arXiv preprint arXiv:2005.11911, 2020
12020
On Phantom Alignment Strength
DE Fishkind, F Parker, H Sawczuk, L Meng, E Bridgeford, A Athreya, ...
arXiv preprint arXiv:2103.00624, 2021
2021
Multiscale Comparative Connectomics
V Gopalakrishnan, J Chung, E Bridgeford, BD Pedigo, J Arroyo, ...
arXiv preprint arXiv:2011.14990, 2020
2020
hyppo: A Multivariate Hypothesis Testing Python Package
S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ...
arXiv preprint arXiv:1907.02088, 2019
2019
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Articles 1–20