Physics-Inspired Generative Models in Medical Imaging.
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| Title: | Physics-Inspired Generative Models in Medical Imaging. |
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| Authors: | Hein D; Department of Physics, KTH Royal Institute of Technology, Stockholm, Sweden.; MedTechLabs, Karolinska University Hospital, Stockholm, Sweden., Bozorgpour A; Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany; email: dorit.merhof@ur.de., Merhof D; Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany; email: dorit.merhof@ur.de., Wang G; Department of Biomedical Engineering, School of Engineering, Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, USA; email: wangg6@rpi.edu. |
| Source: | Annual review of biomedical engineering [Annu Rev Biomed Eng] 2025 May; Vol. 27 (1), pp. 499-525. |
| Publication Type: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Annual Reviews Country of Publication: United States NLM ID: 100883581 Publication Model: Print Cited Medium: Internet ISSN: 1545-4274 (Electronic) Linking ISSN: 15239829 NLM ISO Abbreviation: Annu Rev Biomed Eng Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1545-4274 |
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| DOI: | 10.1146/annurev-bioeng-102723-013922 |
