| End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT S Nowak, M Theis, BD Wichtmann, A Faron, MF Froelich, F Tollens, ... European radiology, 1-10, 2022 | 42 | 2022 |
| Transformer-based structuring of free-text radiology report databases S Nowak, D Biesner, YC Layer, M Theis, H Schneider, W Block, B Wulff, ... European radiology 33 (6), 4228-4236, 2023 | 21 | 2023 |
| Deep learning-based body composition analysis predicts outcome in melanoma patients treated with immune checkpoint inhibitors A Faron, NS Opheys, S Nowak, AM Sprinkart, A Isaak, M Theis, ... Diagnostics 11 (12), 2314, 2021 | 18 | 2021 |
| Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy M Theis, T Tonguc, O Savchenko, S Nowak, W Block, F Recker, M Essler, ... Insights into Imaging 14 (1), 1, 2023 | 12 | 2023 |
| Deep learning–based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused … S Nowak, C Kloth, M Theis, M Marinova, UI Attenberger, AM Sprinkart, ... European radiology 34 (1), 279-286, 2024 | 10 | 2024 |
| Development of image-based decision support systems utilizing information extracted from radiological free-text report databases with text-based transformers S Nowak, H Schneider, YC Layer, M Theis, D Biesner, W Block, B Wulff, ... European radiology 34 (5), 2895-2904, 2024 | 7 | 2024 |
| CT-derived epicardial adipose tissue inflammation predicts outcome in patients undergoing transcatheter aortic valve replacement B Salam, B Al-Kassou, L Weinhold, AM Sprinkart, S Nowak, M Theis, ... Journal of Thoracic Imaging 39 (4), 224-231, 2024 | 6 | 2024 |
| Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. H Schneider, D Biesner, S Nowak, YC Layer, M Theis, W Block, B Wulff, ... ESANN, 2022 | 6 | 2022 |
| Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema S Nowak, A Henkel, M Theis, J Luetkens, S Geiger, AM Sprinkart, ... European Radiology 33 (2), 884-892, 2023 | 5 | 2023 |
| Privacy-ensuring open-weights large language models are competitive with closed-weights GPT-4o in extracting chest radiography findings from free-text reports S Nowak, B Wulff, YC Layer, M Theis, A Isaak, B Salam, W Block, ... Radiology 314 (1), e240895, 2025 | 3 | 2025 |
| Opportunistic CT-derived analysis of fat and muscle tissue composition predicts mortality in patients with cardiogenic shock B Salam, M Al Zaidi, AM Sprinkart, S Nowak, M Theis, D Kuetting, A Aksoy, ... Scientific reports 13 (1), 22293, 2023 | 3 | 2023 |
| Is one label all you need? Single positive multi-label training in medical image analysis H Schneider, P Priya, D Biesner, R Kador, YC Layer, M Theis, S Nowak, ... 2023 IEEE International Conference on Big Data (BigData), 4963-4972, 2023 | 2 | 2023 |
| Symmetry-aware siamese network: Exploiting pathological asymmetry for chest x-ray analysis H Schneider, EC Yildiz, D Biesner, YC Layer, B Wulff, S Nowak, M Theis, ... International Conference on Artificial Neural Networks, 165-176, 2023 | 2 | 2023 |
| Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis S Nowak, D Creuzberg, M Theis, C Pizarro, A Isaak, CC Pieper, ... Scientific Reports 15 (1), 1479, 2025 | 1 | 2025 |
| Direct deep learning-based survival prediction from pre-interventional CT prior to transcatheter aortic valve replacement M Theis, W Block, JA Luetkens, UI Attenberger, S Nowak, AM Sprinkart European Journal of Radiology 168, 111150, 2023 | 1 | 2023 |
| Large language models for error detection in radiology reports: a comparative analysis between closed-source and privacy-compliant open-source models B Salam, C Stüwe, S Nowak, AM Sprinkart, M Theis, D Kravchenko, ... European Radiology, 1-9, 2025 | | 2025 |
| Fetal MRI deep learning segmentation of body and lung in congenital diaphragmatic hernia LM Bischoff, S Nowak, M Mader, M Theis, T Vollbrecht, A Isaak, ... Radiology Advances 2 (1), umae034, 2025 | | 2025 |
| Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography M Theis, L Garajová, B Salam, S Nowak, W Block, UI Attenberger, ... Insights into Imaging 15 (1), 301, 2024 | | 2024 |
| Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems H Schneider, S Nowak, A Parikh, YC Layer, M Theis, W Block, ... arXiv preprint arXiv:2410.21014, 2024 | | 2024 |
| Deep Learning Virtual Contrast‐Enhanced T1 Mapping for Contrast‐Free Myocardial Extracellular Volume Assessment S Nowak, LM Bischoff, L Pennig, K Kaya, A Isaak, M Theis, W Block, ... Journal of the American Heart Association 13 (19), e035599, 2024 | | 2024 |
