| Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks R Sexauer, P Hejduk, K Borkowski, C Ruppert, T Weikert, S Dellas, ... European Radiology 33 (7), 4589-4596, 2023 | 7 | 2023 |
| Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification A Landsmann, C Ruppert, J Wieler, P Hejduk, A Ciritsis, K Borkowski, ... European Radiology Experimental 6 (1), 30, 2022 | 5 | 2022 |
| Deep Learning for Automatic Segmentation of Background Parenchymal Enhancement in Breast MRI. S Nowakowska, K Borkowski, C Ruppert, P Hejduk, A Ciritsis, ... Medical Imaging with Deep Learning, 2022 | 3 | 2022 |
| Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks P Hejduk, R Sexauer, C Ruppert, K Borkowski, J Unkelbach, N Schmidt Insights into Imaging 14 (1), 90, 2023 | 2 | 2023 |
| Detecting abnormal axillary lymph nodes on mammograms using a deep convolutional neural network F Abel, A Landsmann, P Hejduk, C Ruppert, K Borkowski, A Ciritsis, ... Diagnostics 12 (6), 1347, 2022 | 2 | 2022 |
| Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI S Nowakowska, K Borkowski, CM Ruppert, A Landsmann, M Marcon, ... Insights into Imaging 14 (1), 185, 2023 | 1 | 2023 |
| Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle A Landsmann, C Ruppert, K Borkowski, P Hejduk, A Ciritsis, J Wieler, ... Clinical Imaging 95, 28-36, 2023 | 1 | 2023 |
| Systematic analysis of changes in radiomics features during dynamic breast-MRI: Evaluation of specific biomarkers A Landsmann, C Ruppert, S Nowakowska, A Ciritsis, J Wieler, MC Wurnig, ... Clinical Imaging 93, 93-102, 2023 | 1 | 2023 |
| Detection and Classification of Lesions in Breast Ultrasound using a Deep Convolutional Neural Network C Ruppert | | |
