Author

David Qixiang Chen

University of TorontoORCID 0000-0001-6407-8024Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Eleftherios GaryfallidisiD· 2 shared Flavio Dell’AcquaiD· 2 shared jinyu zhongiD· 2 shared Aldo QuattroneiD· 1 shared Alessandro DaducciiD· 1 shared Alessia SaricaiD· 1 shared Alexander LeemansiD· 1 shared ALI RAZA KHANiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Eleftherios GaryfallidisORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Diffusion Weighted Image Co-registration: Investigation of Best Practices

David Qixiang Chen, Flavio Dell’Acqua, Ariel Rokem, Eleftherios Garyfallidis, Dave J. Hayes, jinyu zhong, Mojgan Hodaie

This study evaluates DWI-derived scalar images for T1-DWI co-registration, finding that anisotropic power (AP) images provide the most consistent and reliable registration across modalities.

bioRxiv · Dec 11, 2019 · PreprintNeuroscience

Tractography-based connectomes are dominated by false-positive connections

Klaus Hermann Maier-Hein, Peter Neher, Jean‐Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, jinyu zhong, Maxime Chamberland, Fang-Cheng F. Yeh, Ying‐Chia Lin, Qing Ji, Wilburn E. Reddick, John O. Glass, David Qixiang Chen, Yuanjing Feng, Chengfeng Gao, , Maxime Descoteaux

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

Nature Communications · Nov 1, 2017Peer-reviewedNeuroscience