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Journal Abstract Search

295 related items for PubMed ID: 31869826

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  • 2. Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging.
    Dong X, Wang T, Lei Y, Higgins K, Liu T, Curran WJ, Mao H, Nye JA, Yang X.
    Phys Med Biol; 2019 Nov 04; 64(21):215016. PubMed ID: 31622962
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  • 3. Learning CT-free attenuation-corrected total-body PET images through deep learning.
    Li W, Huang Z, Chen Z, Jiang Y, Zhou C, Zhang X, Fan W, Zhao Y, Zhang L, Wan L, Yang Y, Zheng H, Liang D, Hu Z.
    Eur Radiol; 2024 Sep 04; 34(9):5578-5587. PubMed ID: 38355987
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  • 4. Deep-learning-based methods of attenuation correction for SPECT and PET.
    Chen X, Liu C.
    J Nucl Cardiol; 2023 Oct 04; 30(5):1859-1878. PubMed ID: 35680755
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  • 7. Strategies for deep learning-based attenuation and scatter correction of brain 18 F-FDG PET images in the image domain.
    Jahangir R, Kamali-Asl A, Arabi H, Zaidi H.
    Med Phys; 2024 Feb 04; 51(2):870-880. PubMed ID: 38197492
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  • 9. Attenuation correction and truncation completion for breast PET/MR imaging using deep learning.
    Li X, Johnson JM, Strigel RM, Bancroft LCH, Hurley SA, Estakhraji SIZ, Kumar M, Fowler AM, McMillan AB.
    Phys Med Biol; 2024 Feb 15; 69(4):. PubMed ID: 38252969
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  • 11. Deep learning for improving PET/CT attenuation correction by elastic registration of anatomical data.
    Schaefferkoetter J, Shah V, Hayden C, Prior JO, Zuehlsdorff S.
    Eur J Nucl Med Mol Imaging; 2023 Jul 15; 50(8):2292-2304. PubMed ID: 36882577
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  • 13. 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 Jul 15; 22(3):179-186. PubMed ID: 31587027
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  • 14. Deep learning for whole-body medical image generation.
    Schaefferkoetter J, Yan J, Moon S, Chan R, Ortega C, Metser U, Berlin A, Veit-Haibach P.
    Eur J Nucl Med Mol Imaging; 2021 Nov 15; 48(12):3817-3826. PubMed ID: 34021779
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  • 17. DeTransUnet: attenuation correction of gated cardiac images without structural information.
    Wang B, Lu L, Liu H.
    Phys Med Biol; 2022 Aug 16; 67(16):. PubMed ID: 35878609
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  • 18. Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.
    Torrado-Carvajal A, Vera-Olmos J, Izquierdo-Garcia D, Catalano OA, Morales MA, Margolin J, Soricelli A, Salvatore M, Malpica N, Catana C.
    J Nucl Med; 2019 Mar 16; 60(3):429-435. PubMed ID: 30166357
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  • 19. Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging.
    Pozaruk A, Pawar K, Li S, Carey A, Cheng J, Sudarshan VP, Cholewa M, Grummet J, Chen Z, Egan G.
    Eur J Nucl Med Mol Imaging; 2021 Jan 16; 48(1):9-20. PubMed ID: 32394162
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