Pattern Recognition In Micrographs

Pattern Recognition in Micrographs is a computational image analysis method that identifies and classifies structural motifs in microscopic imagery by detecting statistically significant spatial arrangements of pixels or regions specific to biological or material specimens.

45

Publications

3.4K

Citations

153

Authors

73

Institutions

Publications per year

2017–2026

6

Authors

153

  1. RF
    Robert F. Murphy

    Carnegie Mellon University, United States

    7 publications · 1K citations

    7

    h-index

  2. MV
    Michael V. Boland

    Johns Hopkins University, United States

    4 publications · 773 citations

    4

    h-index

  3. MK
    Mia K. Markey

    The University of Texas at Austin, United States

    3 publications · 284 citations

    3

    h-index

  4. MW
    Makoto Watanabe

    National Institute for Materials Science, Japan

    2 publications · 197 citations

    2

    h-index

  5. MD
    Masahiko Demura

    National Institute for Materials Science, Japan

    2 publications · 197 citations

    2

    h-index

1–5 of 153

Venues

  1. Journal of Microscopy

    4 publications · 149 citations

    4

    h-index

  2. Cytometry

    2 publications · 257 citations

    2

    h-index

  3. Pattern Recognition

    2 publications · 57 citations

    2

    h-index

  4. Pattern Recognition Letters

    2 publications · 145 citations

    2

    h-index

  5. Bioinformatics

    2 publications · 573 citations

    2

    h-index

1–5