Identifying signatures of image phenotypes to track treatment response in liver disease.
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| Title: | Identifying signatures of image phenotypes to track treatment response in liver disease. |
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| Authors: | Perkonigg M; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: matthias.perkonigg@i-med.ac.at., Bastati N; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Ba-Ssalamah A; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Mesenbrink P; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA., Goehler A; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA., Martic M; Novartis Pharma AG, Basel, Switzerland., Zhou X; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA., Trauner M; Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria., Langs G; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria. Electronic address: georg.langs@meduniwien.ac.at. |
| Source: | Artificial intelligence in medicine [Artif Intell Med] 2025 Oct; Vol. 168, pp. 103223. Date of Electronic Publication: 2025 Jul 21. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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