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Journal Abstract Search

195 related items for PubMed ID: 32436261

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  • 3. Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network.
    Shiri I, Arabi H, Geramifar P, Hajianfar G, Ghafarian P, Rahmim A, Ay MR, Zaidi H.
    Eur J Nucl Med Mol Imaging; 2020 Oct; 47(11):2533-2548. PubMed ID: 32415552
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  • 4. Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain 18F-FDG PET.
    Yang J, Park D, Gullberg GT, Seo Y.
    Phys Med Biol; 2019 Apr 04; 64(7):075019. PubMed ID: 30743246
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  • 8. Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.
    Arabi H, Zaidi H.
    Med Image Anal; 2020 Aug 04; 64():101718. PubMed ID: 32492585
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  • 9. Deep learning-based attenuation correction for brain PET with various radiotracers.
    Hashimoto F, Ito M, Ote K, Isobe T, Okada H, Ouchi Y.
    Ann Nucl Med; 2021 Jun 04; 35(6):691-701. PubMed ID: 33811600
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  • 10. Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain.
    Mostafapour S, Gholamiankhah F, Dadgar H, Arabi H, Zaidi H.
    Clin Nucl Med; 2021 Aug 01; 46(8):609-615. PubMed ID: 33661195
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  • 11. Independent brain 18F-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks.
    Armanious K, Küstner T, Reimold M, Nikolaou K, La Fougère C, Yang B, Gatidis S.
    Hell J Nucl Med; 2019 Aug 01; 22(3):179-186. PubMed ID: 31587027
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  • 12. Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain.
    Arabi H, Zaidi H.
    Phys Med Biol; 2021 Jul 07; 66(14):. PubMed ID: 34167094
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  • 14. Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network.
    Sun H, Wang F, Yang Y, Hong X, Xu W, Wang S, Mok GSP, Lu L.
    Eur J Nucl Med Mol Imaging; 2023 Oct 07; 50(12):3630-3646. PubMed ID: 37474736
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  • 15. Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning.
    Shiri I, Vafaei Sadr A, Akhavan A, Salimi Y, Sanaat A, Amini M, Razeghi B, Saberi A, Arabi H, Ferdowsi S, Voloshynovskiy S, Gündüz D, Rahmim A, Zaidi H.
    Eur J Nucl Med Mol Imaging; 2023 Mar 07; 50(4):1034-1050. PubMed ID: 36508026
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