On the Estimation of the Wasserstein Distance in Generative Models. - Thomas Pinetz; Daniel Soukup; Thomas Pock (GCPR, 2019)

Actual Impact of GAN Augmentation on CNN Classification Performance. - Thomas Pinetz; Johannes Ruisz; Daniel Soukup (ICPRAM, 2019)

Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy. - Thomas Pinetz; Erich Kobler; Christian Doberstein; Benjamin Berkels; Alexander Effland (SSVM, 2021)

Shared Prior Learning of Energy-Based Models for Image Reconstruction. - Thomas Pinetz; Erich Kobler; Thomas Pock; Alexander Effland (SIAM J. Imaging Sci., 2021)

Blind Single Image Super-Resolution via Iterated Shared Prior Learning. - Thomas Pinetz; Erich Kobler; Thomas Pock; Alexander Effland (GCPR, 2022)

Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs. - Thomas Pinetz; Erich Kobler; Robert Haase 002; Katerina Deike-Hofmann; Alexander Radbruch; Alexander Effland (MICCAI (2), 2023)

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. - Gianluca Brugnara; Michael Baumgartner 001; Edwin D. Scholze; Katerina Deike-Hofmann; Klaus Kades; Jonas Scherer; Stefan Denner; Hagen Meredig; Aditya Rastogi; Mustafa A. Mahmutoglu; Christian Ulfert; Ulf Neuberger; et al. (Bildverarbeitung für die Medizin, 2024)

Shape of my heart: Cardiac models through learned signed distance functions. - Jan Verhülsdonk; Thomas Grandits; Francisco Sahli Costabal; Thomas Pinetz; Rolf Krause; Angelo Auricchio; Gundolf Haase; Simone Pezzuto; Alexander Effland (MIDL, 2024)

Gadolinium dose reduction for brain MRI using conditional deep learning. - Thomas Pinetz; Erich Kobler; Robert Haase 002; Julian A. Luetkens; Mathias Meetschen; Johannes Haubold; Cornelius Deuschl; Alexander Radbruch; Katerina Deike; Alexander Effland (CoRR, 2024)

Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging. - Manuel Haas; Thomas Grandits; Thomas Pinetz; Thomas Beiert; Simone Pezzuto; Alexander Effland (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)