Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal Biomarkers.

Kandakji L, Balal S, Stupnicki A, Liu S, Leucci M, Gore D, Allan B, Pontikos N

Open source

DOI
10.1016/j.xops.2025.100998
Published
2026 Feb
Container
Ophthalmology science
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.xops.2025.100998,
  title = {Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal Biomarkers.},
  author = {Kandakji L and Balal S and Stupnicki A and Liu S and Leucci M and Gore D and Allan B and Pontikos N},
  year = {2026},
  journal = {Ophthalmology science},
  doi = {10.1016/j.xops.2025.100998},
  url = {https://doi.org/10.1016/j.xops.2025.100998}
}

RIS

TY  - JOUR
TI  - Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal Biomarkers.
AU  - Kandakji L
AU  - Balal S
AU  - Stupnicki A
AU  - Liu S
AU  - Leucci M
AU  - Gore D
AU  - Allan B
AU  - Pontikos N
PY  - 2026
JO  - Ophthalmology science
DO  - 10.1016/j.xops.2025.100998
UR  - https://doi.org/10.1016/j.xops.2025.100998
ER  - 

APA

L, K., S, B., A, S., S, L., M, L., D, G., B, A., & N, P. (2026). Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal Biomarkers.. Ophthalmology science. https://doi.org/10.1016/j.xops.2025.100998

Source records