Imaging-based Phenotyping

Imaging-Based Phenotyping is a computational phenotyping approach that characterizes and quantifies phenotypic traits by extracting high-dimensional, quantitative features from biomedical imaging data through systematic image acquisition, processing, and analysis.

616

Publications

60.4K

Citations

5K

Authors

1.4K

Institutions

Publications per year

2017–2026

417

Authors

5K

  1. LS
    Li Shen

    Indiana University – Purdue University Indianapolis, United States

    20 publications · 1.7K citations

    17

    h-index

  2. AJ
    Andrew J. Saykin

    Indiana University – Purdue University Indianapolis, United States

    18 publications · 1.5K citations

    15

    h-index

  3. AE
    Anne E. Carpenter

    Broad Institute, United States

    16 publications · 2.5K citations

    15

    h-index

  4. RM
    R. Mark Henkelman

    University of Toronto, Canada

    14 publications · 957 citations

    13

    h-index

  5. SL
    Shannon L. Risacher

    Indiana University – Purdue University Indianapolis, United States

    13 publications · 702 citations

    12

    h-index

1–5 of 5K

Venues

  1. Scientific Reports

    27 publications · 1.7K citations

    22

    h-index

  2. Plant Methods

    23 publications · 2.1K citations

    21

    h-index

  3. Nature Communications

    17 publications · 7K citations

    17

    h-index

  4. NeuroImage

    17 publications · 3.3K citations

    17

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 28 publications · 768 citations

    17

    h-index

1–5