J
John H. Fingert
Researcher at University of Iowa
Publications - 171
Citations - 14975
John H. Fingert is an academic researcher from University of Iowa. The author has contributed to research in topics: Glaucoma & Myocilin. The author has an hindex of 47, co-authored 165 publications receiving 13442 citations. Previous affiliations of John H. Fingert include University of Arkansas for Medical Sciences & University of Iowa Hospitals and Clinics.
Papers
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Journal Article
Variations in the TCF8 Gene Are Associated With a Posterior Polymorphous Corneal Dystrophy Phenotype
Shaival S. Shah,John H. Fingert,John E. Sutphin,Rebecca M. Johnston,Christine M. Taylor,Heidi Haines,Jeremy M. Hoffmann,J. A. Scheibe-Owens,Val C. Sheffield,Edwin M. Stone +9 more
Patent
Single nucleotide polymorphisms and genes associated with age-related macular degeneration
Abbot F. Clark,Edwin M. Stone,Val C. Sheffield,John H. Fingert,Thomas L. Casavant,Todd E. Scheetz,Terry A. Braun,A. Jason Grundstad +7 more
TL;DR: In this paper, genes and polymorphisms associated with AMD, and methods for diagnosing an increased risk of AMD in a patient who has at least one of the AMD-associated polymorphisms as provided.
Journal Article
Increased Expression of sFRP-1 in Glaucomatous Trabecular Meshwork and Presence of a Functional WNT Signaling Pathway that Regulates IOP
A. F. Clark,W.-H. Wang,Loretta Mcnatt,Peggy E. Hellberg,I-H Pang,Jeffrey S. Rubin,John H. Fingert,Val C. Sheffield,Edwin M. Stone +8 more
Journal ArticleDOI
Alpha-gal syndrome (AGS) in a glaucoma suspect with narrow iridocorneal angles
TL;DR: In this article , a 59-year-old non-Hispanic white woman with alpha-gal syndrome (AGS) was referred for a glaucoma evaluation and laser iridotomy was performed without complications or allergy to medications.
Posted Content
Automated segmentation of choroidal layers from 3-dimensional macular optical coherence tomography scans
Kyungmoo Lee,Alexis K. Warren,Michael D. Abràmoff,Andreas Wahle,S. Scott Whitmore,Ian C. Han,John H. Fingert,Todd E. Scheetz,Robert F. Mullins,Milan Sonka,Elliott H. Sohn,Elliott H. Sohn +11 more
TL;DR: In this article, a graph-theoretic approach was used to automatically segment choroidal layers from the OCT volumes, and the accuracy of automated segmentation was calculated using unsigned to signed border positioning thickness errors and Dice similarity coefficient.