5 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging
Prajol Shrestha, Mikhail Kulyabin, Aline Sindel +4
Accurate detection and segmentation of cone cells in the retina are essential for diagnosing and managing retinal diseases. In this study, we used advanced imaging techniques, incl…
Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
Mikhail Kulyabin, Aline Sindel, Hilde Pedersen +3
Analyzing the cone photoreceptor pattern in images obtained from the living human retina using quantitative methods can be crucial for the early detection and management of various…
A Vessel-Segmentation-Based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
Aline Sindel, Andreas Maier, Vincent Christlein
Unpaired image-to-image translation of retinal images can efficiently increase the training dataset for deep-learning-based multi-modal retinal registration methods. Our method int…
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration
Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi +4
Ophthalmological imaging utilizes different imaging systems, such as color fundus, infrared, fluorescein angiography, optical coherence tomography (OCT) or OCT angiography. Multipl…