Axon Reconstruction

Axon Reconstruction is a computational method in computational neuroanatomy that specifically aims to infer and delineate the three-dimensional morphology and trajectory of axonal processes from neuroimaging data through the integration of image segmentation, tracing algorithms, and neuronal geometry modeling.

159

Publications

13.5K

Citations

615

Authors

246

Institutions

Publications per year

2017–2026

35

Variants

Axonal Reconstruction

Authors

615

  1. JW
    Jeff W. Lichtman

    Harvard University, United States

    8 publications · 591 citations

    8

    h-index

  2. KS
    Kathleen S. Rockland

    RIKEN Center for Brain Science, Japan

    7 publications · 732 citations

    7

    h-index

  3. GA
    Giorgio A. Ascoli

    George Mason University, United States

    6 publications · 489 citations

    6

    h-index

  4. KA
    Kevan A Martin

    University of Zurich, Switzerland

    5 publications · 395 citations

    5

    h-index

  5. GM
    Giorgio M. Innocenti

    Karolinska Institutet, Sweden

    5 publications · 521 citations

    5

    h-index

1–5 of 615

Venues

  1. The Journal of Comparative Neurology

    44 publications · 4.5K citations

    32

    h-index

  2. Journal of Neuroscience

    9 publications · 1.7K citations

    9

    h-index

  3. Cerebral Cortex

    9 publications · 639 citations

    9

    h-index

  4. Journal of Neuroscience Methods

    7 publications · 245 citations

    7

    h-index

  5. Neuroinformatics

    6 publications · 388 citations

    6

    h-index

1–5