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Chapter and Conference Paper
A Vesselsegmentation-based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
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 integrates a vessel segmentation...
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Chapter and Conference Paper
A Multi-modal Registration and Visualization Software Tool for Artworks Using CraquelureNet
For art investigations of paintings, multiple imaging technologies, such as visual light photography, infrared reflectography, ultraviolet fluorescence photography, and x-radiography are often used. For a pixe...
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Chapter and Conference Paper
ArtFacePoints: High-Resolution Facial Landmark Detection in Paintings and Prints
Facial landmark detection plays an important role for the similarity analysis in artworks to compare portraits of the same or similar artists. With facial landmarks, portraits of different genres, such as pain...
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Chapter and Conference Paper
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration
Ophthalmological imaging utilizes different imaging systems, such as color fundus, infrared, fluorescein angiography, optical coherence tomography (OCT) or OCT angiography. Multiple images with different modal...
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Chapter and Conference Paper
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
In ophthalmological imaging, multiple imaging systems, such as color fundus, infrared, fluorescein angiography, optical coherence tomography (OCT) or OCT angiography, are often involved to make a diagnosis of ...
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Chapter and Conference Paper
Automatic Chain Line Segmentation in Historical Prints
The analysis of chain line patterns in historical prints can provide valuable information about the origin of the paper. For this task, we propose a method to automatically detect chain lines in transmitted li...
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Chapter and Conference Paper
Respiratory Motion Compensation for C-Arm CT Liver Imaging
In C-arm CT 3D liver imaging, breathing leads to motion artifacts due to the relatively long acquisition time. Often, even with breath-holding residual respiratory motion can be observed. These artifacts manif...
