16 citations · 22 across the 8 of their papers we have counts for
7 papers · 1 filter
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
Stefan Ploner, Siyu Chen, Jungeun Won +5
Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology. OCT instruments image by raster-scanning…
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
Florian Thamm, Oliver Taubmann, Markus Jürgens +5
Ischemic strokes are often caused by large vessel occlusions (LVOs), which can be visualized and diagnosed with Computed Tomography Angiography scans. As time is brain, a fast, acc…
An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes
Florian Thamm, Markus Jürgens, Oliver Taubmann +4
During the diagnosis of ischemic strokes, the Circle of Willis and its surrounding vessels are the arteries of interest. Their visualization in case of an acute stroke is often ena…
Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using Deep Reinforcement Learning
Mayank Patwari, Ralf Gutjahr, Rainer Raupach +1
The use of deep learning has successfully solved several problems in the field of medical imaging. Deep learning has been applied to the CT denoising problem successfully. However,…
Deep learning-guided weighted averaging for signal dropout compensation in diffusion-weighted imaging of the liver
Fasil Gadjimuradov, Thomas Benkert, Marcel Dominik Nickel +3
Purpose: To develop an algorithm for the retrospective correction of signal dropout artifacts in abdominal diffusion-weighted imaging (DWI) resulting from cardiac motion. Methods:…
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling
Felix Denzinger, Michael Wels, Oliver Taubmann +8
With coronary artery disease (CAD) persisting to be one of the leading causes of death worldwide, interest in supporting physicians with algorithms to speed up and improve diagnosi…