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Author

Maike Theis

Observed names: M Theis, M. Theis, Theis, Maike
ORCID: 0000-0003-2666-9928
Observed ORCID: 0000-0003-2666-9928
OpenAlex ID: A5000688681
End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT
2021 · Sebastian Nowak, Maike Theis, et al. · European Radiology · 64
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Privacy-ensuring Open-weights Large Language Models Are Competitive with Closed-weights GPT-4o in Extracting Chest Radiography Findings from Free-Text Reports
2025 · Sebastian Nowak, Benjamin Wulff, et al. · Radiology · 44
Large language models for error detection in radiology reports: a comparative analysis between closed-source and privacy-compliant open-source models
2025 · Babak Salam, Claire Stüwe, et al. · European Radiology · 41
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Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors
2021 · Anton Faron, Nikola S. Opheys, et al. · Diagnostics · 28
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Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy
2023 · Maike Theis, Tolga Tonguc, et al. · Insights into Imaging · 25
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Deep learning–based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment
2023 · Sebastian Nowak, Christoph Kloth, et al. · European Radiology · 24
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Transformer-based structuring of free-text radiology report databases
2023 · S. Nowak, D. Biesner, et al. · European Radiology · 19
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Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema
2022 · Sebastian Nowak, Andreas Henkel, et al. · European Radiology · 15
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Development of image-based decision support systems utilizing information extracted from radiological free-text report databases with text-based transformers
2023 · Sebastian Nowak, Helen Schneider, et al. · European Radiology · 14
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Deep Learning Virtual Contrast‐Enhanced T1 Mapping for Contrast‐Free Myocardial Extracellular Volume Assessment
2024 · Sebastian Nowak, Leon M. Bischoff, et al. · Journal of the American Heart Association · 12
Direct deep learning-based survival prediction from pre-interventional CT prior to transcatheter aortic valve replacement
2023 · Maike Theis, Wolfgang Block, et al. · European Journal of Radiology · 10
CT-derived Epicardial Adipose Tissue Inflammation Predicts Outcome in Patients Undergoing Transcatheter Aortic Valve Replacement
2024 · Babak Salam, Baravan Al-Kassou, et al. · Journal of Thoracic Imaging · 8
Opportunistic CT-derived analysis of fat and muscle tissue composition predicts mortality in patients with cardiogenic shock
2023 · Babak Salam, Muntadher Al Zaidi, et al. · Scientific Reports · 8
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Fetal MRI deep learning segmentation of body and lung in congenital diaphragmatic hernia
2024 · Leon M Bischoff, Sebastian Nowak, et al. · Radiology Advances · 7
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Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation
2022 · Helen Schneider, David Biesner, et al. · 7
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Skeletal muscle and visceral fat density are predictive imaging biomarkers for overall survival in patients with pancreatic adenocarcinoma: A retrospective multicenter analysis
2025 · Maike Theis, Wei Hong, et al. · Surgical Oncology · 3
Associations between cardiac adipose tissue and abdominal visceral fat and muscle based on computed tomography area and density
2025 · Babak Salam, Sebastian Nowak, et al. · Scientific Reports · 3
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Is one label all you need? Single positive multi-label training in medical image analysis
2023 · Helen Schneider, Priya Priya, et al. · IEEE International Conference on Big Data (BigData) · 3
Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis
2023 · Helen Schneider, Elif Cansu Yildiz, et al. · Lecture notes in computer science · 3
Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis
2025 · Sebastian Nowak, Dominik Creuzberg, et al. · Scientific Reports · 2
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Deep learning for opportunistic, end-to-end automated assessment of epicardial adipose tissue in pre-interventional, ECG-gated spiral computed tomography
2024 · Maike Theis, Laura Garajová, et al. · Insights into Imaging · 2
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Opportunistic CT Fatty Muscle Fraction for Outcome Prediction in Patients Undergoing Transcatheter Mitral Valve Edge-to-Edge Repair
2026 · Babak Salam, Marcel Weber, et al. · Circulation Cardiovascular Imaging · 1
Informed Deep Abstaining Classifier: Investigating Noise-Robust Training for Diagnostic Decision Support Systems Systems
2025 · Helen Schneider, Sebastian Nowak, et al. · Communications in computer and information science · 1
Deep learning-based detection of acute pancreatitis on abdominal contrast-enhanced CT
2026 · Oleksandra Seidel, Maike Theis, et al. · European Radiology Experimental
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Deep learning-based detection of acute pancreatitis on abdominal contrast-enhanced CT
2026 · Oleksandra Seidel, Maike Theis, et al. · Figshare
Works count: 36
Citation count: 344
H-index: 10
I10-index: 11
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