14 citations · 23 across the 6 of their papers we have counts for
6 papers · 1 filter
Unsupervised detection of small hyperreflective features in ultrahigh resolution optical coherence tomography
Marcel Reimann, Jungeun Won, Hiroyuki Takahashi +10
Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal processing techniques may reveal new po…
Retinal blood flow speed quantification at the capillary level using temporal autocorrelation fitting OCTA
Yunchan Hwang, Jungeun Won, Antonio Yaghy +9
Optical coherence tomography angiography (OCTA) can visualize vasculature structures, but provides limited information about the blood flow speeds. Here, we present a second genera…
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…