2025
Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals
Rosenblatt M, Mehta S, Peterson H, Dadashkarimi J, Rodriguez R, Foster M, Adkinson B, Liang Q, Kimble V, Ye J, McCusker M, Farruggia M, Rolison M, Westwater M, Jiang R, Noble S, Scheinost D. Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. ELife 2025, 12: rp88540. PMID: 40366360, PMCID: PMC12077878, DOI: 10.7554/elife.88540.Peer-Reviewed Original ResearchTrends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals
Rosenblatt M, Mehta S, Peterson H, Dadashkarimi J, Rodriguez R, Foster M, Adkinson B, Liang Q, Kimble V, Ye J, McCusker M, Farruggia M, Rolison M, Westwater M, Jiang R, Noble S, Scheinost D. Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. ELife 2025, 12 DOI: 10.7554/elife.88540.4.Peer-Reviewed Original ResearchMeta-Learning for Generalizable Connectome Modeling Across Heterogeneous Atlas Spaces
Liang Q, Adkinson B, Scheinost D. Meta-Learning for Generalizable Connectome Modeling Across Heterogeneous Atlas Spaces. 2025, 00: 1-5. DOI: 10.1109/isbi60581.2025.10981255.Peer-Reviewed Original Research
2024
Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling
Liang Q, Adkinson B, Jiang R, Scheinost D. Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. Lecture Notes In Computer Science 2024, 15010: 579-588. DOI: 10.1007/978-3-031-72117-5_54.Peer-Reviewed Original ResearchRescuing missing data in connectome-based predictive modeling
Liang Q, Jiang R, Adkinson B, Rosenblatt M, Mehta S, Foster M, Dong S, You C, Negahban S, Zhou H, Chang J, Scheinost D. Rescuing missing data in connectome-based predictive modeling. Imaging Neuroscience 2024, 2: 1-16. DOI: 10.1162/imag_a_00071.Peer-Reviewed Original Research
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