A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis J Chung, R Lawrence, A Loftus, G Kiar, EW Bridgeford, WG Roncal, ... bioRxiv, 2021.11. 01.466686, 2024 | 61* | 2024 |
Sparse projection oblique randomer forests TM Tomita, J Browne, C Shen, J Chung, JL Patsolic, B Falk, CE Priebe, ... Journal of machine learning research 21 (104), 1-39, 2020 | 58 | 2020 |
Graspy: Graph statistics in python J Chung, BD Pedigo, EW Bridgeford, BK Varjavand, HS Helm, ... Journal of Machine Learning Research 20 (158), 1-7, 2019 | 49 | 2019 |
Statistical connectomics J Chung, E Bridgeford, J Arroyo, BD Pedigo, A Saad-Eldin, ... Annual Review of Statistics and Its Application 8 (1), 463-492, 2021 | 34 | 2021 |
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 | 24 | 2019 |
Toward community-driven big open brain science: open big data and tools for structure, function, and genetics AS Charles, B Falk, N Turner, TD Pereira, D Tward, BD Pedigo, J Chung, ... Annual review of neuroscience 43 (1), 441-464, 2020 | 21 | 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 | 17 | 2019 |
Outcomes of patients with chronic lymphocytic leukemia (CLL) after idelalisib therapy discontinuation JC Barrientos, M Kaur, A Mark, J Chung, N Driscoll, A Bender, KR Rai Blood 126 (23), 4155-4155, 2015 | 15 | 2015 |
Valid two‐sample graph testing via optimal transport procrustes and multiscale graph correlation with applications in connectomics J Chung, B Varjavand, J Arroyo‐Relión, A Alyakin, J Agterberg, M Tang, ... Stat 11 (1), e429, 2022 | 9 | 2022 |
Independence testing for temporal data C Shen, J Chung, R Mehta, T Xu, JT Vogelstein Transactions on Machine Learning Research, arXiv: 1908.06486, 2024 | 8* | 2024 |
A Causal Perspective for Batch Effects: When is no answer better than a wrong answer? EW Bridgeford, M Powell, G Kiar, S Noble, J Chung, S Panda, ... bioRxiv, 2021.09. 03.458920, 2021 | 5* | 2021 |
Learning sources of variability from high-dimensional observational studies EW Bridgeford, J Chung, B Gilbert, S Panda, A Li, C Shen, A Badea, ... arXiv preprint arXiv:2307.13868, 2023 | 4 | 2023 |
When no answer is better than a wrong answer: A causal perspective on batch effects EW Bridgeford, M Powell, G Kiar, S Noble, J Chung, S Panda, ... Imaging Neuroscience 3, imag_a_00458, 2025 | | 2025 |
Network Biomarkers of Alzheimer's Disease Risk Derived from Joint Volume and Texture Covariance Patterns in Mouse Models EW Bridgeford, J Chung, RJ Anderson, A Mahzarnia, JA Stout, HS Moon, ... bioRxiv, 2025.02. 05.636582, 2025 | | 2025 |
STATISTICAL CONNECTOMICS: DEVELOPING METHODS TOWARDS UNDERSTANDING POPULATIONS OF NETWORKS J Chung Johns Hopkins University, 2024 | | 2024 |
The Heritability of Human Connectomes: a Causal Modeling Analysis J Chung, EW Bridgeford, M Powell, D Pisner, T Xu, JT Vogelstein bioRxiv, 2023.04. 02.532875, 2023 | | 2023 |
Discovery of Multi-Level Network Differences Across Populations of Heterogeneous Connectomes V Gopalakrishnan, J Chung, E Bridgeford, BD Pedigo, J Arroyo, ... arXiv preprint arXiv:2011.14990, 2020 | | 2020 |
Clustering Multi-Modal Connectomes J Chung, BD Pedigo, CE Priebe, JT Vogelstein | | |