Daniel Truhn (D Truhn)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 51

Top Topics

Diffusion Weighted

Artificial Intelligence

Top Venues

Journal of medical Internet research

Communications medicine

Clinical oral investigations

This page only lists publications with an associated author ORCID identifier.

Publications

Teresa Lemainque, Nicola Pridöhl, Marc Huppertz, Manuel Post, Can Yüksel, Robert Siepmann, Karl Ludger Radke, Shuo Zhang, Masami Yoneyama, Andreas Prescher, Christiane Kuhl, Daniel Truhn, Sven Nebelung
Two for One-Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform. Diagnostics (Basel, Switzerland) 14 (10) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno Kyrill Bressem, Lisa C Adams
Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of medical Internet research 26 (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno Kyrill Bressem, Lisa C Adams
Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of medical Internet research 26 (2024)
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R Makowski, Sven Nebelung, Rickmer F Braren, Daniel Ruckert, Daniel Truhn, Georgios A Kaissis
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging. Communications medicine 4 (1) (2024)
Lisa C Adams, Daniel Truhn, Felix Busch, Felix Dorfner, Jawed Nawabi, Marcus R Makowski, Keno Kyrill Bressem
Llama 3 Challenges Proprietary State-of-the-Art Large Language Models in Radiology Board-style Examination Questions. Radiology 312 (2) (2024)
Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C Adams, Keno K Bressem
Navigating the European Union Artificial Intelligence Act for Healthcare. NPJ digital medicine 7 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Leo Misera, Gustav Müller-Franzes, Daniel Truhn, Jakob Nikolas Kather
Weakly Supervised Deep Learning in Radiology. Radiology 312 (1) (2024)
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R Makowski, Sven Nebelung, Rickmer F Braren, Daniel Ruckert, Daniel Truhn, Georgios A Kaissis
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging. Communications medicine 4 (1) (2024)
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno Kyrill Bressem, Lisa C Adams
Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of medical Internet research 26 (2024)
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno Kyrill Bressem, Lisa C Adams
Correction: Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of medical Internet research 26 (2024)
Ila Motmaen, Kunpeng Xie, Leon Schönbrunn, Jeff Berens, Kim Grunert, Anna Maria Plum, Johannes Raufeisen, André Ferreira, Alexander Hermans, Jan Egger, Frank Hölzle, Daniel Truhn, Behrus Puladi
Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists. Clinical oral investigations 28 (7) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Ila Motmaen, Kunpeng Xie, Leon Schönbrunn, Jeff Berens, Kim Grunert, Anna Maria Plum, Johannes Raufeisen, André Ferreira, Alexander Hermans, Jan Egger, Frank Hölzle, Daniel Truhn, Behrus Puladi
Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists. Clinical oral investigations 28 (7) (2024)
Gustav Müller-Franzes, Firas Khader, Soroosh Tayebi Arasteh, Luisa Charlotte Huck, Maike Bode, Tianyu Han, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane K Kuhl, Daniel Truhn
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology 312 (1) (2024)
Leo Misera, Gustav Müller-Franzes, Daniel Truhn, Jakob Nikolas Kather
Weakly Supervised Deep Learning in Radiology. Radiology 312 (1) (2024)
Ila Motmaen, Kunpeng Xie, Leon Schönbrunn, Jeff Berens, Kim Grunert, Anna Maria Plum, Johannes Raufeisen, André Ferreira, Alexander Hermans, Jan Egger, Frank Hölzle, Daniel Truhn, Behrus Puladi
Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists. Clinical oral investigations 28 (7) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno Kyrill Bressem, Lisa C Adams
Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of medical Internet research 26 (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Daniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, Jakob Nikolas Kather
Large language models and multimodal foundation models for precision oncology. NPJ precision oncology 8 (1) (2024)
Felix Busch, Tianyu Han, Marcus R Makowski, Daniel Truhn, Keno Kyrill Bressem, Lisa C Adams
Correction: Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of medical Internet research 26 (2024)
Ila Motmaen, Kunpeng Xie, Leon Schönbrunn, Jeff Berens, Kim Grunert, Anna Maria Plum, Johannes Raufeisen, André Ferreira, Alexander Hermans, Jan Egger, Frank Hölzle, Daniel Truhn, Behrus Puladi
Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists. Clinical oral investigations 28 (7) (2024)
Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K Meyer, Radhika Juglan, Zunamys Itzell Carrero, Daniel Paech, Jens Kleesiek, Matthias P Ebert, Daniel Truhn, Jakob Nikolas Kather
Privacy-preserving large language models for structured medical information retrieval. NPJ digital medicine 7 (1) (2024)
Daniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, Jakob Nikolas Kather
Large language models and multimodal foundation models for precision oncology. NPJ precision oncology 8 (1) (2024)
Ila Motmaen, Kunpeng Xie, Leon Schönbrunn, Jeff Berens, Kim Grunert, Anna Maria Plum, Johannes Raufeisen, André Ferreira, Alexander Hermans, Jan Egger, Frank Hölzle, Daniel Truhn, Behrus Puladi
Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists. Clinical oral investigations 28 (7) (2024)
Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C Adams, Keno K Bressem
Navigating the European Union Artificial Intelligence Act for Healthcare. NPJ digital medicine 7 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Teresa Lemainque, Nicola Pridöhl, Marc Huppertz, Manuel Post, Can Yüksel, Robert Siepmann, Karl Ludger Radke, Shuo Zhang, Masami Yoneyama, Andreas Prescher, Christiane Kuhl, Daniel Truhn, Sven Nebelung
Two for One-Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform. Diagnostics (Basel, Switzerland) 14 (10) (2024)
Jakob Nikolas Kather, Dyke Ferber, Isabella C Wiest, Stephen Henry Gilbert, Daniel Truhn
Large language models could make natural language again the universal interface of healthcare. Nature medicine (2024)
Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C Adams, Keno K Bressem
Navigating the European Union Artificial Intelligence Act for Healthcare. NPJ digital medicine 7 (1) (2024)
Gustav Müller-Franzes, Firas Khader, Soroosh Tayebi Arasteh, Luisa Charlotte Huck, Maike Bode, Tianyu Han, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane K Kuhl, Daniel Truhn
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology 312 (1) (2024)
Xiaofeng Jiang, Hengyu Zhao, Oliver Lester Saldanha, Sven Nebelung, Christiane K Kuhl, Iakovos Amygdalos, Sven Arke Lang, Xiao-Jian Wu, Xiaochun Meng, Daniel Truhn, Jakob Nikolas Kather, Jia Ke
An MRI Deep Learning Model Predicts Outcome in Rectal Cancer. Radiology 307 (5) (2023)
Daniel Truhn, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Large language models should be used as scientific reasoning engines, not knowledge databases. Nature medicine (2023)
Lisa C Adams, Felix Busch, Daniel Truhn, Marcus R Makowski, Hugo J W L Aerts, Keno Kyrill Bressem
What Does DALL-E 2 Know About Radiology? Journal of medical Internet research 25 (2023)
Lisa C Adams, Felix Busch, Daniel Truhn, Marcus R Makowski, Hugo J W L Aerts, Keno Kyrill Bressem
What Does DALL-E 2 Know About Radiology? Journal of medical Internet research 25 (2023)
Gustav Müller-Franzes, Luisa Charlotte Huck, Soroosh Tayebi Arasteh, Firas Khader, Tianyu Han, Volkmar Schulz, Ebba Dethlefsen, Jakob Nikolas Kather, Sven Nebelung, Teresa Lemainque, Christiane K Kuhl, Daniel Truhn
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images. Radiology (2023)
Firas Khader, Gustav Müller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno Kyrill Bressem, Christiane K Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. Radiology 309 (1) (2023)
Lisa C Adams, Daniel Truhn, Felix Busch, Avan Kader, Stefan Markus Niehues, Marcus R Makowski, Keno Kyrill Bressem
Leveraging GPT-4 for Post Hoc Transformation of Free-Text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study. Radiology (2023)
Daniel Truhn, Gustav Müller-Franzes, Jakob Nikolas Kather
The ecological footprint of medical AI. European radiology (2023)
Firas Khader, Tianyu Han, Gustav Müller-Franzes, Luisa Charlotte Huck, Philipp Schad, Sebastian Keil, Emona S Barzakova, Maximilian Franz Schulze-Hagen, Federico Pedersoli, Volkmar Schulz, Markus Zimmermann, Lina Nebelung, Jakob Nikolas Kather, Karim Hamesch, Christoph Haarburger, Gernot Marx, Johannes Stegmaier, Christiane K Kuhl, Philipp Bruners, Sven Nebelung, Daniel Truhn
Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs. Radiology (2022)
Marc Sebastian Huppertz, Justus Schock, Karl Ludger Radke, Daniel Benjamin Abrar, Manuel Post, Christiane Kuhl, Daniel Truhn, Sven Nebelung
Longitudinal T2 Mapping and Texture Feature Analysis in the Detection and Monitoring of Experimental Post-Traumatic Cartilage Degeneration. Life (Basel, Switzerland) 11 (3) (2021)
Justus Schock, Daniel Truhn, Daniel B Abrar, Dorit Merhof, Stefan Conrad, Manuel Post, Felix Mittelstrass, Christiane K Kuhl, Sven Nebelung
Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence. Radiology. Artificial intelligence 3 (2) (2020)
Tianyu Han, Sven Nebelung, Christoph Haarburger, Nicolas Horst, Sebastian D Reinartz, Dorit Merhof, Fabian Kießling, Volkmar Schulz, Daniel Truhn
Breaking medical data sharing boundaries by using synthesized radiographs. Science advances 6 (49) (2020)
Christiane K Kuhl, Daniel Truhn
The Long Route to Standardized Radiomics: Unraveling the Knot from the End. Radiology 295 (2) (2020)
Daniel Truhn, Björn Sondern, Simon Oehrl, Markus Tingart, Matthias Knobe, Dorit Merhof, Christiane Kuhl, Johannes Thüring, Sven Nebelung
Differentiation of human cartilage degeneration by functional MRI mapping-an ex vivo study. European radiology 29 (12) (2019)
Johannes Thuering, K Linka, M Itskov, M Knobe, L Hitpaß, C Kuhl, Daniel Truhn, S Nebelung
Multiparametric MRI and Computational Modelling in the Assessment of Human Articular Cartilage Properties: A Comprehensive Approach. BioMed research international 2018 (2018)
Daniel Truhn, Christiane K Kuhl, Alexander Ciritsis, Alexandra Barabasch, Nils A Kraemer
A New Model for MR Evaluation of Liver Function with Gadoxetic Acid, Including Both Uptake and Excretion. European radiology 29 (1) (2018)