Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
2024 · Research Square · 36 citations
https://doi.org/10.21203/rs.3.rs-5271327/v1
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Sezgin Er
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Sezgin Er is an academic researcher from University of Zurich. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Medical Imaging and Analysis. The author has an h-index of 9, co-authored 18 publications.
ORCID: 0000-0001-7266-9844Papers by this author
worksCT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
2024 · Lecture notes in computer science · 32 citations
https://doi.org/10.1007/978-3-031-72390-2_45
Generalist foundation models from a multimodal dataset for 3D computed tomography
2026 · Nature Biomedical Engineering · 24 citations
https://doi.org/10.1038/s41551-025-01599-y
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
2024 · Lecture notes in computer science · 21 citations
https://doi.org/10.1007/978-3-031-72986-7_8
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