Search | TVST | ARVO Journals

Showing 1 – 20 of 427

SORT: Best Match Most Recent Oldest

VIEW: Basic | Expanded

Multidisciplinary Ophthalmic Imaging October 2024

Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers

PDF

Natasa Jeremic; Maximilian Pawloff; Dmitrii Lachinov; Stephanie Rokitansky; Matthias Hasun; Franz Weidinger; Andreas Pollreisz; Hrvoje Bogunović; Ursula Schmidt-Erfurth
TAGS: biological markers, coronary arteriosclerosis, stratification
Invest. Ophthalmol. Vis. Sci.. 2024; 65(12):15. https://doi.org/10.1167/iovs.65.12.15

Includes: Supplemental Content

Retina July 2024

Sequence of Morphological Changes Preceding Atrophy in Intermediate AMD Using Deep Learning

PDF

Sophie Riedl; Ursula Schmidt-Erfurth; Antoine Rivail; Klaudia Birner; Julia Mai; Wolf-Dieter Vogl; Zhichao Wu; Robyn H. Guymer; Hrvoje Bogunović; Gregor S. Reiter
TAGS: atrophy, cohort studies, deep learning, drusen, diagnostic imaging, eye, atrophic condition of skin
Invest. Ophthalmol. Vis. Sci.. 2024; 65(8):30. https://doi.org/10.1167/iovs.65.8.30

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2024

Few-shot retinal layer boundary segmentation adaptation for regressing novel retinal layers visible on high-resolution OCT

Hrvoje Bogunovic; Botond Fazekas; Sophie Frank; Gregor Sebastian Reiter; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2386.

ARVO Annual Meeting Abstract June 2024

Rate of response to treatment in eyes with geographic atrophy treated with Pegcetacoplan in a within-patient comparison using automated AI-based OCT biomarker quantifications in OAKS and DERBY

Gregor Sebastian Reiter; Julia Mai; Alex McKeown; Emma Foos; Amir Sadeghipour; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6488.

ARVO Annual Meeting Abstract June 2024

Deep-learning supported pointwise structure-function correlation from healthy eyes to intermediate and late non-exudative age-related macular degeneration

Klaudia Kostolna; Gregor Sebastian Reiter; Leonard Mana Coulibaly; Irene Steiner; Hamza Mohamed; Azin Zhargami; Simon Schürer-Waldheim; Markus Gumpinger; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):5683.

ARVO Annual Meeting Abstract June 2024

Patient-tailored Microperimetry Grids for Focal Lesions in Intermediate AMD: A PINNACLE Study Report

Stefan Futterknecht; Maximilian Pfau; Philipp Anders; Julia Mai; Ursula Hall; Hrvoje Bogunovic; Lars Fritsche; Daniel Rueckert; Ursula Schmidt-Erfurth; Sobha Sivaprasad; Andrew Lotery; Hendrik P Scholl

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4386.

ARVO Annual Meeting Abstract June 2024

OCT-based AI-assisted phenotyping of intermediate AMD in the prospective PINNACLE trial

Sophie Riedl; Julia Mai; Simon Schürer-Waldheim; Georg Faustmann; Hrvoje Bogunovic; Lars Fritsche; Toby Prevost; Daniel Rueckert; Hendrik P Scholl; Sobha Sivaprasad; Andrew Lotery; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):980.

ARVO Annual Meeting Abstract June 2024

Variability of perilesional FAF patterns associated with automated OCT-based PR/RPE loss ratios in GA progression in the phase 3 OAKS/DERBY trials

Julia Mai; Gregor Sebastian Reiter; Sophie Riedl; Wolf-Dieter Vogl; Amir Sadeghipour; Alex McKeown; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):981.

ARVO Annual Meeting Abstract June 2024

Inter-Eye Differences of Vessel Density and Fractal Dimension in Diabetic Patients

Heiko Stino; Kim Lien Huber; Laura Kunze; Irene Steiner; Alexandros Bampoulidis; Ursula Schmidt-Erfurth; Andreas Pollreisz

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6247.

ARVO Annual Meeting Abstract June 2024

Evaluating the distribution of fundus autofluorescence phenotypes in a large, European intermediate AMD cohort and describing a novel phenotype (A PINNACLE Study Report)

Tom Taylor; Rebecca Anne Kaye; Julia Mai; Lars Fritsche; Toby Prevost; Daniel Rueckert; Hrvoje Bogunovic; Hendrik P Scholl; Ursula Schmidt-Erfurth; Sobha Sivaprasad; Andrew Lotery

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2266.

ARVO Annual Meeting Abstract June 2024

Artificial Intelligence-supported Treatment in neovascular AMD: Retinal Fluid correlation with Photoreceptor condition and Baseline Characteristics

Sophie Frank; Virginia Mares; Stefan Sacu; Philipp Fuchs; Leonard Mana Coulibaly; Georg Faustmann; Markus Gumpinger; Emese Sükei; Hrvoje Bogunovic; Gregor Sebastian Reiter; Oliver Leingang; Wolf-Dieter Vogl; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2114.

ARVO Annual Meeting Abstract June 2024

10-year follow-up of patients with central serous chorioretinopathy

Johannes Iby; Wolf Bühl; Judith Kreminger; Bianca S Gerendas; Alice R Motschi; Michael Pircher; Ursula Schmidt-Erfurth; Stefan Sacu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6631.

ARVO Annual Meeting Abstract June 2024

Enriching AI-based Predictive Models from Retinal Imaging by Multi-Modal Contrastive Pre-training

Emese Sükei; Sophie Riedl; Elisabeth Rumetshofer; Niklas Schmidinger; Andreas Mayr; Ursula Schmidt-Erfurth; Günter Klambauer; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):450.

ARVO Annual Meeting Abstract June 2024

Severity Stratification of Coronary Heart Disease using novel inner Ellipse based Foveal Avascular Zone Biomarkers

Natasa Jeremic; Maximilian Pawloff; Dmitrii Lachinov; Stephanie Rokitansky; Matthias Hasun; Franz Weidinger; Andreas Pollreisz; Hrvoje Bogunovic; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3891.

ARVO Annual Meeting Abstract June 2024

Choroidal Futures of Eyes with Circumscribed Choroidal Hemangioma in Ultra Wide-Field Optical Coherence Tomography Angiography

Judith Kreminger; Stephanie Rokitansky; Adrian Reumueller; Reinhard Told; Roman Dunavoelgyi; Ursula Schmidt-Erfurth; Stefan Sacu

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3431.

ARVO Annual Meeting Abstract June 2024

Robust deep learning for automated AMD screening and staging based on a retinal foundation model

Teresa Araújo; Guilherme Moreira Aresta; Ursula Schmidt-Erfurth; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2833.

ARVO Annual Meeting Abstract June 2024

Deep learning for efficient screening for retinal disease from large OCT datasets by knowledge-based distillation

Guilherme Moreira Aresta; Teresa Araújo; Ursula Schmidt-Erfurth; Hrvoje Bogunovic

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2369.

ARVO Annual Meeting Abstract June 2024

Retinal epi-vascular structures as seen by adaptive optics optical coherence tomography

Michael Pircher; Elisabeth Brunner; Laura Eva Kunze; Ursula Schmidt-Erfurth; Wolfgang Drexler; Andreas Pollreisz

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3400.

ARVO Annual Meeting Abstract June 2024

AI-based correlation of functional retinal testing with retinal fluid volumes and compartments in neovascular age-related macular degeneration

Laetitia Hinterhuber; Gregor Sebastian Reiter; Klaudia Kostolna; Hamza Mohamed; Leonard Mana Coulibaly; Philipp Fuchs; Simon Schürer-Waldheim; Markus Gumpinger; Hrvoje Bogunovic; Oliver Leingang; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3259.

ARVO Annual Meeting Abstract June 2024

Automated Segmentations of Photoreceptor Degeneration and RPE Loss in Geographic Atrophy as factors to screen for fast progressors in real-world OCT data

Wolf-Dieter Vogl; Oliver Leingang; Hlynur Skulason; Ariadne Whitby; Ursula Schmidt-Erfurth

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2771.

1 2 3 4 5

Next 20 Results »

NARROW

Content Type

Journal

Article Type

Topics

Tags

Filters

Specify Date Range

Severity Stratification of Coronary Artery Disease Using Novel Inner Ellipse-Based Foveal Avascular Zone Biomarkers

Sequence of Morphological Changes Preceding Atrophy in Intermediate AMD Using Deep Learning

Few-shot retinal layer boundary segmentation adaptation for regressing novel retinal layers visible on high-resolution OCT

Rate of response to treatment in eyes with geographic atrophy treated with Pegcetacoplan in a within-patient comparison using automated AI-based OCT biomarker quantifications in OAKS and DERBY

Deep-learning supported pointwise structure-function correlation from healthy eyes to intermediate and late non-exudative age-related macular degeneration

Patient-tailored Microperimetry Grids for Focal Lesions in Intermediate AMD: A PINNACLE Study Report

OCT-based AI-assisted phenotyping of intermediate AMD in the prospective PINNACLE trial

Variability of perilesional FAF patterns associated with automated OCT-based PR/RPE loss ratios in GA progression in the phase 3 OAKS/DERBY trials

Inter-Eye Differences of Vessel Density and Fractal Dimension in Diabetic Patients

Evaluating the distribution of fundus autofluorescence phenotypes in a large, European intermediate AMD cohort and describing a novel phenotype (A PINNACLE Study Report)

Artificial Intelligence-supported Treatment in neovascular AMD: Retinal Fluid correlation with Photoreceptor condition and Baseline Characteristics

10-year follow-up of patients with central serous chorioretinopathy

Enriching AI-based Predictive Models from Retinal Imaging by Multi-Modal Contrastive Pre-training

Severity Stratification of Coronary Heart Disease using novel inner Ellipse based Foveal Avascular Zone Biomarkers

Choroidal Futures of Eyes with Circumscribed Choroidal Hemangioma in Ultra Wide-Field Optical Coherence Tomography Angiography

Robust deep learning for automated AMD screening and staging based on a retinal foundation model

Deep learning for efficient screening for retinal disease from large OCT datasets by knowledge-based distillation

Retinal epi-vascular structures as seen by adaptive optics optical coherence tomography

AI-based correlation of functional retinal testing with retinal fluid volumes and compartments in neovascular age-related macular degeneration

Automated Segmentations of Photoreceptor Degeneration and RPE Loss in Geographic Atrophy as factors to screen for fast progressors in real-world OCT data

To View More...

You must be signed into an individual account to use this feature.