16 citations · 17 across the 2 of their papers we have counts for
4 papers
Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization
Constantin Kleinbeck, Hannah Schieber, Klaus Engel +2
In medical image visualization, path tracing of volumetric medical data like CT scans produces lifelike three-dimensional visualizations. Immersive VR displays can further enhance…
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,…
Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization
Mayank Patwari, Ralf Gutjahr, Rainer Raupach +1
Denoising of clinical CT images is an active area for deep learning research. Current clinically approved methods use iterative reconstruction methods to reduce the noise in CT ima…
JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering
Mayank Patwari, Ralf Gutjahr, Rainer Raupach +1
Deep neural networks have shown great success in low dose CT denoising. However, most of these deep neural networks have several hundred thousand trainable parameters. This, combin…