Ruppert C - Search Results

1

Technical feasibility of automated blur detection in digital mammography using convolutional neural network.

Nowakowska S, Vescoli V, Schnitzler T, Ruppert C, Borkowski K, Boss A, Rossi C, Wein B, Ciritsis A. Nowakowska S, et al. Among authors: ruppert c. Eur Radiol Exp. 2024 Nov 18;8(1):129. doi: 10.1186/s41747-024-00527-0. Eur Radiol Exp. 2024. PMID: 39556167 Free PMC article.

2

Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification.

Landsmann A, Ruppert C, Wieler J, Hejduk P, Ciritsis A, Borkowski K, Wurnig MC, Rossi C, Boss A. Landsmann A, et al. Among authors: ruppert c. Eur Radiol Exp. 2022 Jul 20;6(1):30. doi: 10.1186/s41747-022-00285-x. Eur Radiol Exp. 2022. PMID: 35854186 Free PMC article.

3

Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.

Sexauer R, Hejduk P, Borkowski K, Ruppert C, Weikert T, Dellas S, Schmidt N. Sexauer R, et al. Among authors: ruppert c. Eur Radiol. 2023 Jul;33(7):4589-4596. doi: 10.1007/s00330-023-09474-7. Epub 2023 Mar 1. Eur Radiol. 2023. PMID: 36856841 Free PMC article.

4

Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network.

Abel F, Landsmann A, Hejduk P, Ruppert C, Borkowski K, Ciritsis A, Rossi C, Boss A. Abel F, et al. Among authors: ruppert c. Diagnostics (Basel). 2022 May 29;12(6):1347. doi: 10.3390/diagnostics12061347. Diagnostics (Basel). 2022. PMID: 35741157 Free PMC article.

5

Systematic analysis of changes in radiomics features during dynamic breast-MRI: Evaluation of specific biomarkers.

Landsmann A, Ruppert C, Nowakowska S, Ciritsis A, Wieler J, Wurnig MC, Rossi C, Boss A. Landsmann A, et al. Among authors: ruppert c. Clin Imaging. 2023 Jan;93:93-102. doi: 10.1016/j.clinimag.2022.10.013. Epub 2022 Oct 27. Clin Imaging. 2023. PMID: 36423483 Free article.

6

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.

Landsmann A, Ruppert C, Borkowski K, Hejduk P, Ciritsis A, Wieler J, Rossi C, Boss A. Landsmann A, et al. Among authors: ruppert c. Clin Imaging. 2023 Mar;95:28-36. doi: 10.1016/j.clinimag.2022.12.006. Epub 2022 Dec 28. Clin Imaging. 2023. PMID: 36603416 Free article.

7

Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI.

Nowakowska S, Borkowski K, Ruppert CM, Landsmann A, Marcon M, Berger N, Boss A, Ciritsis A, Rossi C. Nowakowska S, et al. Among authors: ruppert cm. Insights Imaging. 2023 Nov 6;14(1):185. doi: 10.1186/s13244-023-01531-5. Insights Imaging. 2023. PMID: 37932462 Free PMC article.

8

Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network.

Schnitzler T, Ruppert C, Hejduk P, Borkowski K, Kajüter J, Rossi C, Ciritsis A, Landsmann A, Zaytoun H, Boss A, Schindera S, Burn F. Schnitzler T, et al. Among authors: ruppert c. J Imaging. 2024 Jun 19;10(6):147. doi: 10.3390/jimaging10060147. J Imaging. 2024. PMID: 38921624 Free PMC article.

9

Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake.

Nowakowska S, Borkowski K, Ruppert C, Hejduk P, Ciritsis A, Landsmann A, Marcon M, Berger N, Boss A, Rossi C. Nowakowska S, et al. Among authors: ruppert c. Bioengineering (Basel). 2024 May 31;11(6):556. doi: 10.3390/bioengineering11060556. Bioengineering (Basel). 2024. PMID: 38927793 Free PMC article.

10

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks.

Hejduk P, Sexauer R, Ruppert C, Borkowski K, Unkelbach J, Schmidt N. Hejduk P, et al. Among authors: ruppert c. Insights Imaging. 2023 May 18;14(1):90. doi: 10.1186/s13244-023-01396-8. Insights Imaging. 2023. PMID: 37199794 Free PMC article.

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