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20172022
most citedMaximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising

6 citations · 8 across the 4 of their papers we have counts for

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5 papers · 1 filter

eess.IV2022

A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT

Stefan Ploner, Siyu Chen, Jungeun Won +5

Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology. OCT instruments image by raster-scanning…

eess.IV2020★ 6 cited

Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising

Lennart Husvogt, Stefan B. Ploner, Siyu Chen +7

Optical coherence tomography angiography (OCTA) is a novel and clinically promising imaging modality to image retinal and sub-retinal vasculature. Based on repeated optical coheren…

eess.IV2020

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

Stefan B. Ploner, Martin F. Kraus, Eric M. Moult +7

We propose a novel method for non-rigid 3-D motion correction of orthogonally raster-scanned optical coherence tomography angiography volumes. This is the first approach that align…

eess.IV2020

Deep OCT Angiography Image Generation for Motion Artifact Suppression

Julian Hossbach, Lennart Husvogt, Martin F. Kraus +2

Eye movements, blinking and other motion during the acquisition of optical coherence tomography (OCT) can lead to artifacts, when processed to OCT angiography (OCTA) images. Affect…

eess.IV2019★ 1 cited

Lesson Learnt: Modularization of Deep Networks Allow Cross-Modality Reuse

Weilin Fu, Lennart Husvogt, Stefan Ploner James G. Fujimoto Andreas Maier

Fundus photography and Optical Coherence Tomography Angiography (OCT-A) are two commonly used modalities in ophthalmic imaging. With the development of deep learning algorithms, fu…