Alert button
Picture for Thomas Pinetz

Thomas Pinetz

Alert button

Gadolinium dose reduction for brain MRI using conditional deep learning

Mar 06, 2024
Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland

Figure 1 for Gadolinium dose reduction for brain MRI using conditional deep learning
Figure 2 for Gadolinium dose reduction for brain MRI using conditional deep learning
Figure 3 for Gadolinium dose reduction for brain MRI using conditional deep learning
Figure 4 for Gadolinium dose reduction for brain MRI using conditional deep learning
Viaarxiv icon

Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Jun 26, 2023
Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland

Figure 1 for Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Figure 2 for Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Figure 3 for Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Figure 4 for Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Viaarxiv icon

Shared Prior Learning of Energy-Based Models for Image Reconstruction

Nov 13, 2020
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland

Figure 1 for Shared Prior Learning of Energy-Based Models for Image Reconstruction
Figure 2 for Shared Prior Learning of Energy-Based Models for Image Reconstruction
Figure 3 for Shared Prior Learning of Energy-Based Models for Image Reconstruction
Figure 4 for Shared Prior Learning of Energy-Based Models for Image Reconstruction
Viaarxiv icon

On the estimation of the Wasserstein distance in generative models

Oct 02, 2019
Thomas Pinetz, Daniel Soukup, Thomas Pock

Figure 1 for On the estimation of the Wasserstein distance in generative models
Figure 2 for On the estimation of the Wasserstein distance in generative models
Figure 3 for On the estimation of the Wasserstein distance in generative models
Figure 4 for On the estimation of the Wasserstein distance in generative models
Viaarxiv icon