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Daniel Truhn

Showing results (11-20 of 180) with videos related to

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Radiology|July 23, 2024
Weakly Supervised Deep Learning in RadiologyLeo Misera, Gustav Müller-Franzes, Daniel Truhn, et al.
NPJ Digital Medicine|July 11, 2022
Medical domain knowledge in domain-agnostic generative AIJakob Nikolas Kather, Narmin Ghaffari Laleh, Sebastian Foersch, et al.
NPJ Precision Oncology|March 23, 2024
Large language models and multimodal foundation models for precision oncologyDaniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, et al.
Nature Reviews. Gastroenterology & Hepatology|April 16, 2024
Artificial intelligence in liver cancer - new tools for research and patient managementJulien Calderaro, Laura Žigutytė, Daniel Truhn, et al.
Scientific Reports|February 20, 2026
MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classificationPatrick Wienholt, Christiane Kuhl, Jakob Nikolas Kather, et al.
Nature Medicine|August 23, 2024
Large language models could make natural language again the universal interface of healthcareJakob Nikolas Kather, Dyke Ferber, Isabella C Wiest, et al.
European Radiology|June 28, 2018
A New Model for MR Evaluation of Liver Function with Gadoxetic Acid, Including Both Uptake and ExcretionDaniel Truhn, Christiane K Kuhl, Alexander Ciritsis, et al.
European Radiology Experimental|February 7, 2024
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical imagesSoroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, et al.
Skeletal Radiology|September 19, 2016
Ex vivo quantitative multiparametric MRI mapping of human meniscus degenerationSven Nebelung, Markus Tingart, Thomas Pufe, et al.
Radiology|November 14, 2018
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRIDaniel Truhn, Simone Schrading, Christoph Haarburger, et al.
Pageof 18

Showing results (11-20 of 180) with videos related to

Sort By:
Pageof 18
Radiology|July 23, 2024
Weakly Supervised Deep Learning in RadiologyLeo Misera, Gustav Müller-Franzes, Daniel Truhn, et al.
NPJ Digital Medicine|July 11, 2022
Medical domain knowledge in domain-agnostic generative AIJakob Nikolas Kather, Narmin Ghaffari Laleh, Sebastian Foersch, et al.
NPJ Precision Oncology|March 23, 2024
Large language models and multimodal foundation models for precision oncologyDaniel Truhn, Jan-Niklas Eckardt, Dyke Ferber, et al.
Nature Reviews. Gastroenterology & Hepatology|April 16, 2024
Artificial intelligence in liver cancer - new tools for research and patient managementJulien Calderaro, Laura Žigutytė, Daniel Truhn, et al.
Scientific Reports|February 20, 2026
MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classificationPatrick Wienholt, Christiane Kuhl, Jakob Nikolas Kather, et al.
Nature Medicine|August 23, 2024
Large language models could make natural language again the universal interface of healthcareJakob Nikolas Kather, Dyke Ferber, Isabella C Wiest, et al.
European Radiology|June 28, 2018
A New Model for MR Evaluation of Liver Function with Gadoxetic Acid, Including Both Uptake and ExcretionDaniel Truhn, Christiane K Kuhl, Alexander Ciritsis, et al.
European Radiology Experimental|February 7, 2024
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical imagesSoroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, et al.
Skeletal Radiology|September 19, 2016
Ex vivo quantitative multiparametric MRI mapping of human meniscus degenerationSven Nebelung, Markus Tingart, Thomas Pufe, et al.
Radiology|November 14, 2018
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRIDaniel Truhn, Simone Schrading, Christoph Haarburger, et al.
Pageof 18