Thomas Pinetz

According to our database, Thomas Pinetz authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Closing the Domain Gap in Biomedical Imaging by In-Context Control Samples.

Ana Sanchez-Fernandez, Thomas Pinetz, Werner Zellinger, Günter Klambauer

CoRR, April, 2026

Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation.

Thomas Pinetz, Veit Hucke, Hrvoje Bogunovic

CoRR, March, 2026

Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging.

Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland

CoRR, February, 2026

2025

Stochastic Siamese MAE Pretraining for Longitudinal Medical Images.

Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

CoRR, December, 2025

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

SIAM J. Sci. Comput., 2025

Shape Prior for Quality Assessment in OCTA via Denoising Autoencoders at the Segmentation Level.

Hana Jebril, Thomas Pinetz, Hrvoje Bogunovic

IEEE Access, 2025

GARD: Gamma-Based Anatomical Restoration and Denoising for Retinal OCT.

Botond Fazekas, Thomas Pinetz, Guilherme Aresta, Taha Emre, Hrvoje Bogunovic

Proceedings of the Ophthalmic Medical Image Analysis - 12th International Workshop, 2025

2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang

CoRR, 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

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

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 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