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Year | Number of Results |
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2019 | 1 |
2020 | 2 |
2021 | 2 |
2024 | 0 |
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Page 1
Predicting survival after transarterial chemoembolization for hepatocellular carcinoma using a neural network: A Pilot Study.
Liver Int. 2020 Mar;40(3):694-703. doi: 10.1111/liv.14380. Epub 2020 Jan 26.
Liver Int. 2020.
PMID: 31943703
Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network.
Dratsch T, Korenkov M, Zopfs D, Brodehl S, Baessler B, Giese D, Brinkmann S, Maintz D, Pinto Dos Santos D.
Dratsch T, et al. Among authors: brodehl s.
Eur Radiol. 2021 Apr;31(4):1812-1818. doi: 10.1007/s00330-020-07241-6. Epub 2020 Sep 28.
Eur Radiol. 2021.
PMID: 32986160
Free PMC article.
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Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs.
Pinto Dos Santos D, Brodehl S, Baeßler B, Arnhold G, Dratsch T, Chon SH, Mildenberger P, Jungmann F.
Pinto Dos Santos D, et al. Among authors: brodehl s.
Insights Imaging. 2019 Sep 23;10(1):93. doi: 10.1186/s13244-019-0777-8.
Insights Imaging. 2019.
PMID: 31549305
Free PMC article.
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Studying the Evolution of Neural Activation Patterns During Training of Feed-Forward ReLU Networks.
Hartmann D, Franzen D, Brodehl S.
Hartmann D, et al. Among authors: brodehl s.
Front Artif Intell. 2021 Dec 23;4:642374. doi: 10.3389/frai.2021.642374. eCollection 2021.
Front Artif Intell. 2021.
PMID: 35005614
Free PMC article.
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