Thomas Pinetz

21 papers C 1Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation.
CoRR
Thomas Pinetz, Veit Hucke, Hrvoje Bogunovic
2026 J jnl
Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging.
CoRR
Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2025 J jnl
Finite Element-Based Space-Time Total-Variation-Type Regularization of the Inverse Problem in Electrocardiographic Imaging.
SIAM J. Sci. Comput.
Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2025 — conf
GARD: Gamma-Based Anatomical Restoration and Denoising for Retinal OCT.
OMIA@MICCAI
Botond Fazekas, Thomas Pinetz, Guilherme Aresta, Taha Emre, Hrvoje Bogunovic
2025 J jnl
GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT.
CoRR
Botond Fazekas, Thomas Pinetz, Guilherme Aresta, Taha Emre, Hrvoje Bogunovic
2025 J jnl
Shape Prior for Quality Assessment in OCTA via Denoising Autoencoders at the Segmentation Level.
IEEE Access
Hana Jebril, Thomas Pinetz, Hrvoje Bogunovic
2025 J jnl
Stochastic Siamese MAE Pretraining for Longitudinal Medical Images.
CoRR
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
2024 — conf
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.
Bildverarbeitung für die Medizin
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
2024 J jnl
Efficient MedSAMs: Segment Anything in Medical Images on Laptop.
CoRR
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
2024 J jnl
Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging.
CoRR
Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2024 J jnl
Gadolinium dose reduction for brain MRI using conditional deep learning.
CoRR
Thomas Pinetz, Erich Kobler, Robert Haase, Julian A. Luetkens, Mathias Meetschen, Johannes Haubold, Cornelius Deuschl, Alexander Radbruch, Katerina Deike, Alexander Effland
2024 — conf
Shape of my heart: Cardiac models through learned signed distance functions.
MIDL
Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2023 — conf
Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs.
MICCAI (2)
Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
2023 J jnl
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs.
CoRR
Thomas Pinetz, Erich Kobler, Robert Haase, Katerina Deike-Hofmann, Alexander Radbruch, Alexander Effland
2022 — conf
Blind Single Image Super-Resolution via Iterated Shared Prior Learning.
GCPR
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2021 J jnl
Shared Prior Learning of Energy-Based Models for Image Reconstruction.
SIAM J. Imaging Sci.
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2021 — conf
Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy.
SSVM
Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland
2020 J jnl
Shared Prior Learning of Energy-Based Models for Image Reconstruction.
CoRR
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
2019 C conf
Actual Impact of GAN Augmentation on CNN Classification Performance.
ICPRAM
Thomas Pinetz, Johannes Ruisz, Daniel Soukup
2019 — conf
On the Estimation of the Wasserstein Distance in Generative Models.
GCPR
Thomas Pinetz, Daniel Soukup, Thomas Pock
2019 J jnl
On the estimation of the Wasserstein distance in generative models.
CoRR
Thomas Pinetz, Daniel Soukup, Thomas Pock