Astigmatic Regression

Astigmatic Regression is a computational modeling framework designed to quantify and predict the temporal progression of astigmatic refractive error following corrective ocular surgery, distinguishing itself from general regression models by incorporating corneal topographic asymmetry and biomechanical healing dynamics as primary covariates.

16

Publications

558

Citations

39

Authors

19

Institutions

Publications per year

2017–2026

0

Authors

39

  1. MJ
    Monroe J. Hirsch

    American Academy of Optometry, United States

    2 publications · 85 citations

    2

    h-index

  2. SK
    Shuzo Kaneda

    Hashimoto Municipal Hospital, Japan

    1 publications · 15 citations

    1

    h-index

  3. RA
    Robert A. Gorn

    Tufts Medical Center, United States

    1 publications · 20 citations

    1

    h-index

  4. JA
    John A. McCoombes

    Princess Alexandra Hospital, Australia

    1 publications · 11 citations

    1

    h-index

  5. JA
    Junsuke Akura

    Hashimoto Municipal Hospital, Japan

    1 publications · 15 citations

    1

    h-index

1–5 of 39

Venues

  1. Optometry and Vision Science

    3 publications · 98 citations

    3

    h-index

  2. Journal of Refractive Surgery

    2 publications · 114 citations

    2

    h-index

  3. Ophthalmic surgery, lasers & imaging retina

    2 publications · 68 citations

    2

    h-index

  4. Ophthalmology

    2 publications · 66 citations

    2

    h-index

  5. Strabismus

    1 publications · 20 citations

    1

    h-index

1–5