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Daniel Truhn

Showing results (1-10 of 179) with videos related to

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Annals of Oncology : Official Journal of the European Society for Medical Oncology|February 5, 2026
The Evolution of Autonomous Diagnostic Workflows in Cancer ImagingDaniel Truhn
Recent Results in Cancer Research. Fortschritte Der Krebsforschung. Progres Dans Les Recherches Sur Le Cancer|May 18, 2026
Artificial Intelligence and Radiomics in Molecular Oncology ImagingDaniel Truhn, Sven Nebelung
Radiology|March 12, 2020
The Long Route to Standardized Radiomics: Unraveling the Knot from the EndChristiane K Kuhl, Daniel Truhn
Nature Biomedical Engineering|October 7, 2024
Synthetic chest X-ray images from text promptsDaniel Truhn, Jakob Nikolas Kather
Nature Reviews. Nephrology|March 24, 2026
Large language models in healthcareDaniel Truhn, Jakob Nikolas Kather
Radiology. Artificial Intelligence|May 6, 2026
When Framing Shapes the Answer: Cognitive Bias and Large Language Model Reliability in RadiologySoroosh Tayebi Arasteh, Daniel Truhn
Hepatobiliary Surgery and Nutrition|August 23, 2024
Outcome prediction after resection of colorectal cancer liver metastases: out with the old, in with the new?Iakovos Amygdalos, Daniel Truhn, Florian W R Vondran
European Radiology|August 14, 2023
The ecological footprint of medical AIDaniel Truhn, Gustav Müller-Franzes, Jakob Nikolas Kather
Nature Medicine|October 18, 2023
Large language models should be used as scientific reasoning engines, not knowledge databasesDaniel Truhn, Jorge S Reis-Filho, Jakob Nikolas Kather
Journal of the Mechanical Behavior of Biomedical Materials|August 2, 2017
T2 MR imaging vs. computational modeling of human articular cartilage tissue functionalityKevin Linka, Mikhail Itskov, Daniel Truhn, et al.
Pageof 18

Showing results (1-10 of 179) with videos related to

Sort By:
Pageof 18
Annals of Oncology : Official Journal of the European Society for Medical Oncology|February 5, 2026
The Evolution of Autonomous Diagnostic Workflows in Cancer ImagingDaniel Truhn
Recent Results in Cancer Research. Fortschritte Der Krebsforschung. Progres Dans Les Recherches Sur Le Cancer|May 18, 2026
Artificial Intelligence and Radiomics in Molecular Oncology ImagingDaniel Truhn, Sven Nebelung
Radiology|March 12, 2020
The Long Route to Standardized Radiomics: Unraveling the Knot from the EndChristiane K Kuhl, Daniel Truhn
Nature Biomedical Engineering|October 7, 2024
Synthetic chest X-ray images from text promptsDaniel Truhn, Jakob Nikolas Kather
Nature Reviews. Nephrology|March 24, 2026
Large language models in healthcareDaniel Truhn, Jakob Nikolas Kather
Radiology. Artificial Intelligence|May 6, 2026
When Framing Shapes the Answer: Cognitive Bias and Large Language Model Reliability in RadiologySoroosh Tayebi Arasteh, Daniel Truhn
Hepatobiliary Surgery and Nutrition|August 23, 2024
Outcome prediction after resection of colorectal cancer liver metastases: out with the old, in with the new?Iakovos Amygdalos, Daniel Truhn, Florian W R Vondran
European Radiology|August 14, 2023
The ecological footprint of medical AIDaniel Truhn, Gustav Müller-Franzes, Jakob Nikolas Kather
Nature Medicine|October 18, 2023
Large language models should be used as scientific reasoning engines, not knowledge databasesDaniel Truhn, Jorge S Reis-Filho, Jakob Nikolas Kather
Journal of the Mechanical Behavior of Biomedical Materials|August 2, 2017
T2 MR imaging vs. computational modeling of human articular cartilage tissue functionalityKevin Linka, Mikhail Itskov, Daniel Truhn, et al.
Pageof 18