Publications by authors named "Thomas Pinetz"

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Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.
Robert Haase, Thomas Pinetz, Erich Kobler, Zeynep Bendella, Stefan Zülow

Invest Radiol· August 2025

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Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.
Robert Haase, Thomas Pinetz, Erich Kobler, Zeynep Bendella, Daniel Paech

Invest Radiol· May 2025

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Artificial T1-Weighted Postcontrast Brain MRI: A Deep Learning Method for Contrast Signal Extraction.
Robert Haase, Thomas Pinetz, Erich Kobler, Zeynep Bendella, Christian Gronemann

Invest Radiol· February 2025

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Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple Sclerosis.
Gianluca Brugnara, Chandrakanth Jayachandran Preetha, Katerina Deike, Robert Haase, Thomas Pinetz

Radiol Artif Intell· November 2024

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Artificial Contrast: Deep Learning for Reducing Gadolinium-Based Contrast Agents in Neuroradiology.
Robert Haase, Thomas Pinetz, Erich Kobler, Daniel Paech, Alexander Effland

Invest Radiol· August 2023

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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke.
Gianluca Brugnara, Michael Baumgartner, Edwin David Scholze, Katerina Deike-Hofmann, Klaus Kades, Thomas Pinetz

Nat Commun· August 2023

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Reduction of Gadolinium-Based Contrast Agents in MRI Using Convolutional Neural Networks and Different Input Protocols: Limited Interchangeability of Synthesized Sequences With Original Full-Dose Images Despite Excellent Quantitative Performance.
Robert Haase, Thomas Pinetz, Zeynep Bendella, Erich Kobler, Daniel Paech

Invest Radiol· June 2023

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