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Number of items: 3.

Journal Article

Dratsch, Thomas, Korenkov, Michael, Zopfs, David, Brodehl, Sebastian, Baessler, Bettina, Giese, Daniel, Brinkmann, Sebastian, Maintz, David and dos Santos, Daniel Pinto . Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network. Eur. Radiol.. NEW YORK: SPRINGER. ISSN 1432-1084

Maehringer-Kunz, Aline, Wagner, Franziska, Hahn, Felix, Weinmann, Arndt, Brodehl, Sebastian, Schotten, Sebastian, Hinrichs, Jan B., Dueber, Christoph, Galle, Peter R., dos Santos, Daniel Pinto and Kloeckner, Roman (2020). Predicting survival after transarterial chemoembolization for hepatocellular carcinoma using a neural network: A Pilot Study. Liver Int., 40 (3). S. 694 - 704. HOBOKEN: WILEY. ISSN 1478-3231

dos Santos, Daniel Pinto, Brodehl, Sebastian, Baessler, Bettina ORCID: 0000-0002-3244-3864, Arnhold, Gordon, Dratsch, Thomas, Chon, Seung-Hun ORCID: 0000-0002-8923-6428, Mildenberger, Peter and Jungmann, Florian (2019). Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs. Insights Imaging, 10 (1). LONDON: SPRINGEROPEN. ISSN 1869-4101

This list was generated on Thu Mar 28 11:10:25 2024 CET.