activity
20172022
most citedEfficient and high accuracy 3-D OCT angiography motion correction in pathology

18 citations · 26 across the 6 of their papers we have counts for

collaborators

7 papers

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★ 18 cited

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…

cs.CV2018

Temporal and volumetric denoising via quantile sparse image prior

Franziska Schirrmacher, Thomas Köhler, Tobias Lindenberger +7

This paper introduces an universal and structure-preserving regularization term, called quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various…

cs.CV2017★ 1 cited

QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data

Franziska Schirrmacher, Thomas Köhler, Lennart Husvogt +3

Optical coherence tomography (OCT) enables high-resolution and non-invasive 3D imaging of the human retina but is inherently impaired by speckle noise. This paper introduces a spat…