Kuhl C - Search Results

1

The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation.

Tayebi Arasteh S, Siepmann R, Huppertz M, Lotfinia M, Puladi B, Kuhl C, Truhn D, Nebelung S. Tayebi Arasteh S, et al. Among authors: kuhl c. Radiology. 2024 Nov;313(2):e233441. doi: 10.1148/radiol.233441. Radiology. 2024. PMID: 39530893

2

Functional MR Imaging Mapping of Human Articular Cartilage Response to Loading.

Nebelung S, Sondern B, Oehrl S, Tingart M, Rath B, Pufe T, Raith S, Fischer H, Kuhl C, Jahr H, Truhn D. Nebelung S, et al. Among authors: kuhl c. Radiology. 2017 Feb;282(2):464-474. doi: 10.1148/radiol.2016160053. Epub 2016 Aug 26. Radiology. 2017. PMID: 27564133

3

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI.

Truhn D, Schrading S, Haarburger C, Schneider H, Merhof D, Kuhl C. Truhn D, et al. Among authors: kuhl c. Radiology. 2019 Feb;290(2):290-297. doi: 10.1148/radiol.2018181352. Epub 2018 Nov 13. Radiology. 2019. PMID: 30422086

4

The Long Route to Standardized Radiomics: Unraveling the Knot from the End.

Kuhl CK, Truhn D. Kuhl CK, et al. Radiology. 2020 May;295(2):339-341. doi: 10.1148/radiol.2020200059. Epub 2020 Mar 10. Radiology. 2020. PMID: 32159452 No abstract available.

5

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach.

Thüring J, Rippel O, Haarburger C, Merhof D, Schad P, Bruners P, Kuhl CK, Truhn D. Thüring J, et al. Among authors: kuhl ck. Eur Radiol Exp. 2020 Apr 6;4(1):20. doi: 10.1186/s41747-020-00148-3. Eur Radiol Exp. 2020. PMID: 32249336 Free PMC article.

6

Artificial intelligence-based automatic assessment of lower limb torsion on MRI.

Schock J, Truhn D, Nürnberger D, Conrad S, Huppertz MS, Keil S, Kuhl C, Merhof D, Nebelung S. Schock J, et al. Among authors: kuhl c. Sci Rep. 2021 Dec 1;11(1):23244. doi: 10.1038/s41598-021-02708-y. Sci Rep. 2021. PMID: 34853401 Free PMC article.

7

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

Khader F, Han T, Müller-Franzes G, Huck L, Schad P, Keil S, Barzakova E, Schulze-Hagen M, Pedersoli F, Schulz V, Zimmermann M, Nebelung L, Kather J, Hamesch K, Haarburger C, Marx G, Stegmaier J, Kuhl C, Bruners P, Nebelung S, Truhn D. Khader F, et al. Among authors: kuhl c. Radiology. 2023 Apr;307(1):e220510. doi: 10.1148/radiol.220510. Epub 2022 Dec 6. Radiology. 2023. PMID: 36472534

8

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, Kather JN, Nebelung S, Nolte T, Kuhl C, Truhn D. Müller-Franzes G, et al. Among authors: kuhl c. Radiology. 2023 May;307(3):e222211. doi: 10.1148/radiol.222211. Epub 2023 Mar 21. Radiology. 2023. PMID: 36943080

9

An MRI Deep Learning Model Predicts Outcome in Rectal Cancer.

Jiang X, Zhao H, Saldanha OL, Nebelung S, Kuhl C, Amygdalos I, Lang SA, Wu X, Meng X, Truhn D, Kather JN, Ke J. Jiang X, et al. Among authors: kuhl c. Radiology. 2023 Jun;307(5):e222223. doi: 10.1148/radiol.222223. Radiology. 2023. PMID: 37278629

10

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.

Khader F, Müller-Franzes G, Wang T, Han T, Tayebi Arasteh S, Haarburger C, Stegmaier J, Bressem K, Kuhl C, Nebelung S, Kather JN, Truhn D. Khader F, et al. Among authors: kuhl c. Radiology. 2023 Oct;309(1):e230806. doi: 10.1148/radiol.230806. Radiology. 2023. PMID: 37787671

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