Connectome Inference

Connectome Inference is a computational method that distinguishes itself by reconstructing the complete set of neural connections within a nervous system from empirical neuroimaging or anatomical data.

43

Publications

3K

Citations

218

Authors

126

Institutions

Publications per year

2017–2026

32

Authors

218

  1. CE
    Carey E. Priebe

    Johns Hopkins University, United States

    4 publications · 102 citations

    4

    h-index

  2. JT
    Joshua T Vogelstein

    Johns Hopkins University, United States

    4 publications · 124 citations

    4

    h-index

  3. SM
    Stephen M. Smith

    University of Oxford, United Kingdom

    3 publications · 1K citations

    3

    h-index

  4. MW
    Mark W. Woolrich

    University of Oxford, United Kingdom

    3 publications · 1K citations

    3

    h-index

  5. DM
    Disa Mhembere

    Johns Hopkins University, United States

    2 publications · 82 citations

    2

    h-index

1–5 of 218

Venues

  1. NeuroImage

    7 publications · 1.2K citations

    7

    h-index

  2. Scientific Reports

    4 publications · 245 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 65 citations

    4

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 3 publications · 83 citations

    3

    h-index

  5. Network Neuroscience

    NetNeuro · 3 publications · 164 citations

    3

    h-index

1–5