Elze T - Search Results

1

Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning.

Szanto D, Wang JK, Woods B, Elze T, Garvin MK, Pasquale LR, Kardon RH, Branco J, Kupersmith MJ. Szanto D, et al. Among authors: elze t. Sci Rep. 2024 Dec 28;14(1):30935. doi: 10.1038/s41598-024-81835-8. Sci Rep. 2024. PMID: 39730673 Free PMC article.

2

Machine Learning in the Detection of the Glaucomatous Disc and Visual Field.

Smits DJ, Elze T, Wang H, Pasquale LR. Smits DJ, et al. Among authors: elze t. Semin Ophthalmol. 2019;34(4):232-242. doi: 10.1080/08820538.2019.1620801. Epub 2019 May 27. Semin Ophthalmol. 2019. PMID: 31132292 Review.

3

Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension.

Doshi H, Solli E, Elze T, Pasquale LR, Wall M, Kupersmith MJ. Doshi H, et al. Among authors: elze t. Transl Vis Sci Technol. 2021 Aug 2;10(9):37. doi: 10.1167/tvst.10.9.37. Transl Vis Sci Technol. 2021. PMID: 34459860 Free PMC article.

4

Archetypal Analysis Reveals Quantifiable Patterns of Visual Field Loss in Optic Neuritis.

Solli E, Doshi H, Elze T, Pasquale L, Wall M, Kupersmith M. Solli E, et al. Among authors: elze t. Transl Vis Sci Technol. 2022 Jan 3;11(1):27. doi: 10.1167/tvst.11.1.27. Transl Vis Sci Technol. 2022. PMID: 35044445 Free PMC article.

5

Unsupervised Machine Learning Shows Change in Visual Field Loss in the Idiopathic Intracranial Hypertension Treatment Trial.

Doshi H, Solli E, Elze T, Pasquale LR, Wall M, Kupersmith MJ. Doshi H, et al. Among authors: elze t. Ophthalmology. 2022 Aug;129(8):903-911. doi: 10.1016/j.ophtha.2022.03.027. Epub 2022 Apr 1. Ophthalmology. 2022. PMID: 35378137 Clinical Trial.

6

Archetypal analysis of visual fields in optic neuritis reveals functional biomarkers associated with outcome and treatment response.

Solli E, Doshi H, Elze T, Pasquale LR, Branco J, Wall M, Kupersmith M. Solli E, et al. Among authors: elze t. Mult Scler Relat Disord. 2022 Nov;67:104074. doi: 10.1016/j.msard.2022.104074. Epub 2022 Jul 26. Mult Scler Relat Disord. 2022. PMID: 35940021

7

Archetypal Analysis Reveals Consistent Visual Field Patterns for Stimulus Sizes III and V in Glaucoma and NAION.

Szanto D, Wall M, Chong LX, Woods B, Elze T, Wang JK, Garvin M, Kardon R, Kupersmith MJ. Szanto D, et al. Among authors: elze t. Transl Vis Sci Technol. 2024 Dec 2;13(12):15. doi: 10.1167/tvst.13.12.15. Transl Vis Sci Technol. 2024. PMID: 39666357 Free PMC article.

8

Clinical Correlates of Computationally Derived Visual Field Defect Archetypes in Patients from a Glaucoma Clinic.

Cai S, Elze T, Bex PJ, Wiggs JL, Pasquale LR, Shen LQ. Cai S, et al. Among authors: elze t. Curr Eye Res. 2017 Apr;42(4):568-574. doi: 10.1080/02713683.2016.1205630. Epub 2016 Aug 5. Curr Eye Res. 2017. PMID: 27494512 Free PMC article.

9

Relationship Between Central Retinal Vessel Trunk Location and Visual Field Loss in Glaucoma.

Wang M, Wang H, Pasquale LR, Baniasadi N, Shen LQ, Bex PJ, Elze T. Wang M, et al. Among authors: elze t. Am J Ophthalmol. 2017 Apr;176:53-60. doi: 10.1016/j.ajo.2017.01.001. Epub 2017 Jan 11. Am J Ophthalmol. 2017. PMID: 28088508 Free PMC article.

10

An Artificial Intelligence Approach to Assess Spatial Patterns of Retinal Nerve Fiber Layer Thickness Maps in Glaucoma.

Wang M, Shen LQ, Pasquale LR, Wang H, Li D, Choi EY, Yousefi S, Bex PJ, Elze T. Wang M, et al. Among authors: elze t. Transl Vis Sci Technol. 2020 Aug 27;9(9):41. doi: 10.1167/tvst.9.9.41. eCollection 2020 Aug. Transl Vis Sci Technol. 2020. PMID: 32908804 Free PMC article.

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