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Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.

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Title: Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.
Authors: Haberl D; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria., Ning J; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria., Kluge K; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria., Kumpf K; IT4Science, IT Services & Strategic Information Management, Medical University of Vienna, Vienna, Austria., Yu J; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria., Jiang Z; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria., Constantino C; Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal., Monaci A; Department of Experimental and Clinical Biomedical Sciences, Nuclear Medicine Unit, University of Florence, Florence, Italy., Starace M; Department of Experimental and Clinical Biomedical Sciences, Nuclear Medicine Unit, University of Florence, Florence, Italy., Haug AR; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Austria., Calabretta R; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria., Camoni L; ASST Spedali Civili of Brescia, Università degli Studi di Brescia, Brescia, Italy., Bertagna F; ASST Spedali Civili of Brescia, Università degli Studi di Brescia, Brescia, Italy., Mascherbauer K; Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria., Hofer F; Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria., Albano D; ASST Spedali Civili of Brescia, Università degli Studi di Brescia, Brescia, Italy., Sciagra R; Department of Experimental and Clinical Biomedical Sciences, Nuclear Medicine Unit, University of Florence, Florence, Italy., Oliveira F; Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal., Costa D; Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal., Nitsche C; Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria., Hacker M; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria., Spielvogel CP; Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria. clemens.spielvogel@meduniwien.ac.at.
Source: European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2025 Jun; Vol. 52 (7), pp. 2355-2368. Date of Electronic Publication: 2025 Jan 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1619-7089
DOI:10.1007/s00259-025-07091-8