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1.
Briere, A.* et al.: Systematic ocular phenotyping of knockout mouse lines identifies genes associated with age-related corneal dystrophies. Invest. Ophthalmol. Vis. Sci. 66:7 (2025)
2.
Hang, A.* et al.: Ocular phenotyping of knockout mice identifies genes associated with late adult retinal phenotypes. Invest. Ophthalmol. Vis. Sci. 66:64 (2025)
3.
Jurkute, N.* et al.: Biallelic NSUN3 variants cause diverse phenotypic spectrum disease: From isolated optic atrophy to severe early-onset mitochondrial disorder. Invest. Ophthalmol. Vis. Sci. 66:17 (2025)
4.
Knauer, T.* ; Mardin, C.Y.* ; Rosenkranz, C.* ; Lucio, M. & Hohberger, B.*: Longitudinal follow-up of macular retinal microcirculation in patients with Post-COVID Syndrome. Invest. Ophthalmol. Vis. Sci. 66:2 (2025)
5.
Stog, A.* ; Lakatos, P.* ; Lucio, M. ; Mardin, C.Y.* & Hohberger, B.*: Post-COVID syndrome: VEGF and inner nuclear layer thickness. Invest. Ophthalmol. Vis. Sci. 66:2 (2025)
6.
Bergua, A.* et al.: Reaction time deficits in a 3D virtual reality environment in patients with Post-COVID syndrome. Invest. Ophthalmol. Vis. Sci. 65:3 (2024)
7.
Saßmannshausen, M.* et al.: Spatially resolved association of structural biomarkers on retinal function in non-exudative age-related macular degeneration over 4 years. Invest. Ophthalmol. Vis. Sci. 65:45 (2024)
8.
Schottenhamml, J.* et al.: Increased thickness of the retinal inner nuclear layer in patients with post-COVID-syndrome. Invest. Ophthalmol. Vis. Sci. 65:3 (2024)
9.
von der Emde, L.* et al.: Personalized lens correction improves quantitative fundus autofluorescence analysis. Invest. Ophthalmol. Vis. Sci. 65:13 (2024)
10.
Asani, B.* et al.: Predicting OCT-morphological anti-VEGF treatment response in patients with neovascular age-related degeneration using artificial intelligence. Invest. Ophthalmol. Vis. Sci. 64:332 (2023)
11.
Li, J.* et al.: Single cell atlas of the human retina. Invest. Ophthalmol. Vis. Sci. 64:4 (2023)
12.
Saßmannshausen, M.* et al.: Hyperreflective foci in intermediate age-related macular degeneration: Spatial abundance and impact on retinal morphology Invest. Ophthalmol. Vis. Sci. 64:20 (2023)
13.
Schiefelbein, J.* et al.: New OCT based definition of treatment response to anti-VEGF in treatment naive neovascular AMD patients using an Deep Learning Algorithm. Invest. Ophthalmol. Vis. Sci. 64:330 (2023)
14.
Gurley, J.M.* et al.: Neuroretinal-derived caveolin-1 promotes endotoxin-induced inflammation in the murine retina. Invest. Ophthalmol. Vis. Sci. 61:19 (2020)
15.
Yan, X.* et al.: Mutation in Bmpr1b leads to optic disc coloboma and ventral retinal gliosis in mice. Invest. Ophthalmol. Vis. Sci. 61:44 (2020)
16.
Holmberg, O. ; Kortuem, K.U.* ; Köhler, N. & Theis, F.J.: Predicting retinal thickness from fundus images across modalities using deep learning. Invest. Ophthalmol. Vis. Sci. 60 (2019)
17.
Marahrens, L.* ; Roeck, D.* ; Fritsche, A. & Ziemssen, F.*: Interdisciplinary Communication: Ophthalmologists' letters to secondary diabetes care centers. Invest. Ophthalmol. Vis. Sci. 60 (2019)
18.
Tedja, M.S.* et al.: IMI - Myopia genetics report. Invest. Ophthalmol. Vis. Sci. 60, M89-M105 (2019)
19.
Vetrivel, S.* ; Graw, J.* & Giesert, F.: Identification of ocular regulatory functions of core histone variant H3.2 in mouse. Invest. Ophthalmol. Vis. Sci. 60 (2019)
20.
von Studnitz, A.* et al.: Human recombinant Galectin-1 mitigates the cellular mechanisms of proliferative vitreoretinopathy in primary human tractive membranes in-vitro. Invest. Ophthalmol. Vis. Sci. 60 (2019)
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