Anatomical Pattern Recognition

Anatomical Pattern Recognition is a computational framework in Congenital Malformation Pathology that identifies and classifies structural abnormalities by detecting recurring morphological configurations in biological systems, distinguishing itself through its focus on spatial and developmental deviations inherent to congenital conditions.

12

Publications

361

Citations

43

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

43

  1. CA
    Catherine A. Wolkow

    National Institute on Aging, United States

    1 publications · 16 citations

    1

    h-index

  2. MT
    Matthew Toews

    École de Technologie Supérieure, Canada

    1 publications · 99 citations

    1

    h-index

  3. HF
    Hiroshi Fujita

    Gifu University, Japan

    1 publications · 13 citations

    1

    h-index

  4. WW
    Wojciech Wójtowicz

    Jagiellonian University, Poland

    1 publications · 16 citations

    1

    h-index

  5. XG
    Xiaozhong Gao

    Weihai Municipal Hospital, China

    1 publications · 13 citations

    1

    h-index

1–5 of 43

Venues

  1. GeoInformatica

    1 publications · 28 citations

    1

    h-index

  2. Human Pathology

    1 publications · 39 citations

    1

    h-index

  3. Trees

    1 publications · 16 citations

    1

    h-index

  4. Biomedical Signal Processing and Control

    1 publications · 13 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 14 citations

    1

    h-index

1–5