Retinal Image Matching

Retinal Image Matching is a computational method in visual neuroscience that identifies corresponding points between the left and right retinal images to establish binocular correspondence, distinguished from other registration techniques by its incorporation of neuroanatomical constraints and interocular spatial relationships specific to the primate visual system.

48

Publications

2.2K

Citations

190

Authors

91

Institutions

Publications per year

2017–2026

6

Authors

190

  1. CV
    Charles V. Stewart

    Rensselaer Polytechnic Institute, United States

    5 publications · 767 citations

    5

    h-index

  2. BR
    Badrinath Roysam

    Rensselaer Polytechnic Institute, United States

    5 publications · 767 citations

    5

    h-index

  3. AB
    Alauddin Bhuiyan

    The University of Melbourne, Australia

    3 publications · 49 citations

    3

    h-index

  4. TS
    Thomas S Collett

    University of Sussex, United Kingdom

    3 publications · 481 citations

    3

    h-index

  5. AC
    Ali Can

    Rensselaer Polytechnic Institute, United States

    3 publications · 346 citations

    3

    h-index

1–5 of 190

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 119 citations

    2

    h-index

  2. IEEE Transactions on Medical Imaging

    2 publications · 359 citations

    2

    h-index

  3. IEEE Transactions on Biomedical Engineering

    2 publications · 78 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Experimental Biology

    2 publications · 217 citations

    2

    h-index

1–5