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