End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT
2021 · European Radiology · 48 citations
https://doi.org/10.1007/s00330-021-08313-x
M
Maike Theis
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36
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318
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11
h-index
11
i10-index
Maike Theis is an academic researcher from University Hospital Bonn. The author has contributed to research in topics: Cardiac Imaging and Diagnostics & Artificial Intelligence in Healthcare and Education & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 11, co-authored 31 publications.
ORCID: 0000-0003-2666-9928Papers by this author
worksPrivacy-ensuring Open-weights Large Language Models Are Competitive with Closed-weights GPT-4o in Extracting Chest Radiography Findings from Free-Text Reports
2025 · Radiology · 21 citations
https://doi.org/10.1148/radiol.240895
Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema
2022 · European Radiology · 12 citations
https://doi.org/10.1007/s00330-022-09047-0
Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis
2025 · Scientific Reports · 1 citations
https://doi.org/10.1038/s41598-025-85135-7
Associations between cardiac adipose tissue and abdominal visceral fat and muscle based on computed tomography area and density
2025 · Scientific Reports · 0 citations
https://doi.org/10.1038/s41598-025-06167-7
Automated Scan Region Classification and Patient-specific Dose Modeling for Enhanced Dose Management in Computed Tomography
2025 · Investigative Radiology · 0 citations
https://doi.org/10.1097/rli.0000000000001247
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