Picture for Steffen Czolbe

Steffen Czolbe

Neuralizer: General Neuroimage Analysis without Re-Training

Add code
May 09, 2023
Viaarxiv icon

Spot the Difference: Topological Anomaly Detection via Geometric Alignment

Add code
Jun 09, 2021
Figure 1 for Spot the Difference: Topological Anomaly Detection via Geometric Alignment
Figure 2 for Spot the Difference: Topological Anomaly Detection via Geometric Alignment
Figure 3 for Spot the Difference: Topological Anomaly Detection via Geometric Alignment
Figure 4 for Spot the Difference: Topological Anomaly Detection via Geometric Alignment
Viaarxiv icon

Semantic similarity metrics for learned image registration

Add code
Apr 20, 2021
Figure 1 for Semantic similarity metrics for learned image registration
Figure 2 for Semantic similarity metrics for learned image registration
Figure 3 for Semantic similarity metrics for learned image registration
Figure 4 for Semantic similarity metrics for learned image registration
Viaarxiv icon

Is segmentation uncertainty useful?

Add code
Mar 30, 2021
Figure 1 for Is segmentation uncertainty useful?
Figure 2 for Is segmentation uncertainty useful?
Figure 3 for Is segmentation uncertainty useful?
Figure 4 for Is segmentation uncertainty useful?
Viaarxiv icon

DeepSim: Semantic similarity metrics for learned image registration

Add code
Nov 11, 2020
Figure 1 for DeepSim: Semantic similarity metrics for learned image registration
Figure 2 for DeepSim: Semantic similarity metrics for learned image registration
Figure 3 for DeepSim: Semantic similarity metrics for learned image registration
Viaarxiv icon

A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

Add code
Jun 26, 2020
Figure 1 for A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Figure 2 for A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Figure 3 for A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Figure 4 for A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Viaarxiv icon