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Journal Abstract Search

326 related items for PubMed ID: 35680755

  • 1. Deep-learning-based methods of attenuation correction for SPECT and PET.
    Chen X, Liu C.
    J Nucl Cardiol; 2023 Oct; 30(5):1859-1878. PubMed ID: 35680755
    [Abstract] [Full Text] [Related]

  • 2. Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT.
    Chen X, Zhou B, Xie H, Shi L, Liu H, Holler W, Lin M, Liu YH, Miller EJ, Sinusas AJ, Liu C.
    Eur J Nucl Med Mol Imaging; 2022 Jul; 49(9):3046-3060. PubMed ID: 35169887
    [Abstract] [Full Text] [Related]

  • 3. 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; 51(2):870-880. PubMed ID: 38197492
    [Abstract] [Full Text] [Related]

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  • 5. Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging.
    Dong X, Lei Y, Wang T, Higgins K, Liu T, Curran WJ, Mao H, Nye JA, Yang X.
    Phys Med Biol; 2020 Mar 02; 65(5):055011. PubMed ID: 31869826
    [Abstract] [Full Text] [Related]

  • 6. Deep learning-based attenuation map generation for myocardial perfusion SPECT.
    Shi L, Onofrey JA, Liu H, Liu YH, Liu C.
    Eur J Nucl Med Mol Imaging; 2020 Sep 02; 47(10):2383-2395. PubMed ID: 32219492
    [Abstract] [Full Text] [Related]

  • 7. Eliminating CT radiation for clinical PET examination using deep learning.
    Li Q, Zhu X, Zou S, Zhang N, Liu X, Yang Y, Zheng H, Liang D, Hu Z.
    Eur J Radiol; 2022 Sep 02; 154():110422. PubMed ID: 35767933
    [Abstract] [Full Text] [Related]

  • 8. Deep learning-based attenuation map generation with simultaneously reconstructed PET activity and attenuation and low-dose application.
    Shi L, Zhang J, Toyonaga T, Shao D, Onofrey JA, Lu Y.
    Phys Med Biol; 2023 Jan 24; 68(3):. PubMed ID: 36584395
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 10. Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.
    Arabi H, Zaidi H.
    Med Image Anal; 2020 Aug 15; 64():101718. PubMed ID: 32492585
    [Abstract] [Full Text] [Related]

  • 11. Evaluation of Deep Learning-Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images.
    Sari H, Reaungamornrat J, Catalano OA, Vera-Olmos J, Izquierdo-Garcia D, Morales MA, Torrado-Carvajal A, Ng TSC, Malpica N, Kamen A, Catana C.
    J Nucl Med; 2022 Mar 15; 63(3):468-475. PubMed ID: 34301782
    [Abstract] [Full Text] [Related]

  • 12. 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 15; 34(9):5578-5587. PubMed ID: 38355987
    [Abstract] [Full Text] [Related]

  • 13. Development of attenuation correction methods using deep learning in brain-perfusion single-photon emission computed tomography.
    Murata T, Yokota H, Yamato R, Horikoshi T, Tsuneda M, Kurosawa R, Hashimoto T, Ota J, Sawada K, Iimori T, Masuda Y, Mori Y, Suyari H, Uno T.
    Med Phys; 2021 Aug 15; 48(8):4177-4190. PubMed ID: 34061380
    [Abstract] [Full Text] [Related]

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  • 15. PET attenuation correction using synthetic CT from ultrashort echo-time MR imaging.
    Roy S, Wang WT, Carass A, Prince JL, Butman JA, Pham DL.
    J Nucl Med; 2014 Dec 15; 55(12):2071-7. PubMed ID: 25413135
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  • 17. Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT.
    Du Y, Jiang H, Lin CN, Peng Z, Sun J, Chiu PY, Hung GU, Mok GSP.
    Front Med (Lausanne); 2023 Dec 15; 10():1171118. PubMed ID: 37654658
    [Abstract] [Full Text] [Related]

  • 18. Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography.
    Hwang D, Kang SK, Kim KY, Choi H, Lee JS.
    Eur J Nucl Med Mol Imaging; 2022 May 15; 49(6):1833-1842. PubMed ID: 34882262
    [No Abstract] [Full Text] [Related]

  • 19. 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 15; 50(4):1034-1050. PubMed ID: 36508026
    [Abstract] [Full Text] [Related]

  • 20. 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 15; 35(6):691-701. PubMed ID: 33811600
    [Abstract] [Full Text] [Related]

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