日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging

统计学上有效的可解释黑箱机器学习：利用脑成像技术进行跨物种性别分类的应用

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0346575
Liu, Tingshan; Dey, Jayanta; Xu, Beiya; Bridgeford, Eric W; Alldritt, Samuel; Nenning, Karl-Heinz; Byeon, Kyoungseob; Xu, Ting; Vogelstein, Joshua T
神经科学
发表日期：2026
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Network biomarkers of Alzheimer's disease risk derived from joint volume and texture covariance patterns in mouse models

基于小鼠模型关节体积和纹理协方差模式的阿尔茨海默病风险网络生物标志物

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0327118
Bridgeford, Eric W; Chung, Jaewon; Anderson, Robert J; Mahzarnia, Ali; Stout, Jacques A; Moon, Hae Sol; Han, Zay Yar; Vogelstein, Joshua T; Badea, Alexandra
阿尔茨海默症
发表日期：2025
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Network Biomarkers of Alzheimer's Disease Risk Derived from Joint Volume and Texture Covariance Patterns in Mouse Models

基于小鼠模型关节体积和纹理协方差模式的阿尔茨海默病风险网络生物标志物

期刊:
影响因子:
doi:10.1101/2025.02.05.636582
Bridgeford, Eric W; Chung, Jaewon; Anderson, Robert J; Mahzarnia, Ali; Stout, Jacques A; Moon, Hae Sol; Han, Zay Yar; Vogelstein, Joshua T; Badea, Alexandra
阿尔茨海默症
Mouse
发表日期：2025
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When no answer is better than a wrong answer: A causal perspective on batch effects

当没有答案比错误答案更好时：批次效应的因果视角

期刊:
影响因子:
doi:10.1162/imag_a_00458
Bridgeford, Eric W; Powell, Michael; Kiar, Gregory; Noble, Stephanie; Chung, Jaewon; Panda, Sambit; Lawrence, Ross; Xu, Ting; Milham, Michael; Caffo, Brian; Vogelstein, Joshua T
发表日期：2025
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Multiscale comparative connectomics

多尺度比较连接组学

期刊:
影响因子:
doi:10.1162/IMAG.a.2
Gopalakrishnan, Vivek; Chung, Jaewon; Bridgeford, Eric; Pedigo, Benjamin D; Arroyo, Jesús; Upchurch, Lucy; Johnson, G Allan; Wang, Nian; Park, Youngser; Priebe, Carey E; Vogelstein, Joshua T
发表日期：2025
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Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome

生成式网络建模揭示了昆虫全脑连接组所表现出的双侧对称性的定量定义

期刊:Elife
影响因子:6.4
doi:10.7554/eLife.83739
Pedigo, Benjamin D; Powell, Mike; Bridgeford, Eric W; Winding, Michael; Priebe, Carey E; Vogelstein, Joshua T
神经科学
发表日期：2023
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Supervised dimensionality reduction for big data

大数据监督降维

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-021-23102-2
Vogelstein, Joshua T; Bridgeford, Eric W; Tang, Minh; Zheng, Da; Douville, Christopher; Burns, Randal; Maggioni, Mauro
发表日期：2021
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Standardizing human brain parcellations

人类大脑分区标准化

期刊:Scientific Data
影响因子:6.9
doi:10.1038/s41597-021-00849-3
Lawrence, Ross M; Bridgeford, Eric W; Myers, Patrick E; Arvapalli, Ganesh C; Ramachandran, Sandhya C; Pisner, Derek A; Frank, Paige F; Lemmer, Allison D; Nikolaidis, Aki; Vogelstein, Joshua T
神经科学
发表日期：2021
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Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics

消除意外偏差以最大限度地减少概括误差并最大限度地提高可重复性：在连接组学和基因组学中的应用

期刊:PLoS Computational Biology
影响因子:3.6
doi:10.1371/journal.pcbi.1009279
Bridgeford, Eric W; Wang, Shangsi; Wang, Zeyi; Xu, Ting; Craddock, Cameron; Dey, Jayanta; Kiar, Gregory; Gray-Roncal, William; Colantuoni, Carlo; Douville, Christopher; Noble, Stephanie; Priebe, Carey E; Caffo, Brian; Milham, Michael; Zuo, Xi-Nian; Vogelstein, Joshua T
发表日期：2021
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Discovering and deciphering relationships across disparate data modalities

发现并解读不同数据模式之间的关系

期刊:Elife
影响因子:6.4
doi:10.7554/eLife.41690
Vogelstein, Joshua T; Bridgeford, Eric W; Wang, Qing; Priebe, Carey E; Maggioni, Mauro; Shen, Cencheng
发表日期：2019
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