activity
20172020
most citedTethered capsule en face optical coherence tomography for imaging Barrett's esophagus in unsedated patients

14 citations · 22 across the 4 of their papers we have counts for

collaborators

7 papers

eess.IV20206 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…

physics.med-ph202014 cited

Tethered capsule en face optical coherence tomography for imaging Barrett's esophagus in unsedated patients

Kaicheng Liang, Osman O. Ahsen, Annalee Murphy +7

Detection of Barrett's esophagus (BE) at points of care outside the endoscopy suite may improve screening access and reduce esophageal adenocarcinoma mortality. Tethered capsule op…

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.IV20191 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…