Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images

Müller-Franzes G, Huck L, Tayebi Arasteh S, Khader F, Han T, Schulz V, Dethlefsen E, Jakob Nikolas K, Nebelung S, Nolte T, Kuhl C, Truhn D (2023)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2023

Journal

Radiology Radiological Society of North America (RSNA)

Book Volume: 307

Article Number: e222211 (non-FAU publication)

Journal Issue: 3

DOI: 10.1148/radiol.222211

Authors with CRIS profile

Soroosh Tayebi Arasteh Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Technische Universität Dresden DE Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) Universitätsklinikum Aachen (UKA) DE Germany (DE)

How to cite

APA:

Müller-Franzes, G., Huck, L., Tayebi Arasteh, S., Khader, F., Han, T., Schulz, V.,... Truhn, D. (2023). Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images. Radiology, 307(3). https://doi.org/10.1148/radiol.222211

MLA:

Müller-Franzes, Gustav, et al. "Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images." Radiology 307.3 (2023).

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