Tichelaar Jorryt
In this database
3
2019 โ 2020
DB Citations
205
across indexed articles
h-index
โ
Not available
Total Citations
โ
Not available
3 articles in Glaucoma Journal Club
An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis.
The archetype method can inform clinicians of VF progression patterns.
Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma.
We quantified central VF patterns in glaucoma, which were used to improve the prediction of central VF worsening compared with using only global indices.
Characterization of Central Visual Field Loss in End-stage Glaucoma by Unsupervised Artificial Intelligence.
In this study, central VF loss in end-stage glaucoma was found to exhibit characteristic patterns that might be associated with different subtypes.