Thomas Pinetz

According to our database, Thomas Pinetz authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gadolinium dose reduction for brain MRI using conditional deep learning.

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

CoRR, 2024

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.

Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Blind Single Image Super-Resolution via Iterated Shared Prior Learning.

Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland

Proceedings of the Pattern Recognition, 2022

2021

Shared Prior Learning of Energy-Based Models for Image Reconstruction.

Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland

SIAM J. Imaging Sci., 2021

Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy.

Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2019

Actual Impact of GAN Augmentation on CNN Classification Performance.

Thomas Pinetz, Johannes Ruisz, Daniel Soukup

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

On the Estimation of the Wasserstein Distance in Generative Models.

Thomas Pinetz, Daniel Soukup, Thomas Pock

Proceedings of the Pattern Recognition, 2019