Leopold Schmetterer

Orcid: 0000-0002-7189-1707

According to our database1, Leopold Schmetterer authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2023
Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children.
npj Digit. Medicine, 2023

The 3D Structural Phenotype of the Glaucomatous Optic Nerve Head and its Relationship with The Severity of Visual Field Damage.
CoRR, 2023

2022
Are Macula or Optic Nerve Head Structures better at Diagnosing Glaucoma? An Answer using AI and Wide-Field Optical Coherence Tomography.
CoRR, 2022

Automated Retinal Vascular Topological Information Extraction From OCTA.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020
OCT-GAN: Single Step Shadow and Noise Removal from Optical Coherence Tomography Images of the Human Optic Nerve Head.
CoRR, 2020

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.
CoRR, 2020

Automated circumpapillary retinal nerve fiber layer segmentation in high-resolution swept-source OCT.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Localization of Anatomical Features in Vascular-enhanced Enface OCT Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Three-dimensional choroidal vessel network quantification using swept source optical coherence tomography.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Volumetric Choroidal Segmentation Using Sequential Deep Learning Approach in High Myopia Subjects.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.
npj Digit. Medicine, 2019

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images.
CoRR, 2019

2018
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter.
CoRR, 2018

A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head.
CoRR, 2018


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