BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

668 related articles for article (PubMed ID: 32415552)

  • 1. Deep-JASC: joint attenuation and scatter correction in whole-body
    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
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Strategies for deep learning-based attenuation and scatter correction of brain
    Jahangir R; Kamali-Asl A; Arabi H; Zaidi H
    Med Phys; 2024 Feb; 51(2):870-880. PubMed ID: 38197492
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 46(8):609-615. PubMed ID: 33661195
    [TBL] [Abstract][Full Text] [Related]  

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

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

  • 6. Comparison of maximum likelihood and conventional PET scatter scaling methods for
    Bal H; Kiser JW; Conti M; Bowen SL
    Med Phys; 2021 Aug; 48(8):4218-4228. PubMed ID: 34013586
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Independent brain
    Armanious K; Küstner T; Reimold M; Nikolaou K; La Fougère C; Yang B; Gatidis S
    Hell J Nucl Med; 2019; 22(3):179-186. PubMed ID: 31587027
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain
    Yang J; Park D; Gullberg GT; Seo Y
    Phys Med Biol; 2019 Apr; 64(7):075019. PubMed ID: 30743246
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies.
    Arabi H; Bortolin K; Ginovart N; Garibotto V; Zaidi H
    Hum Brain Mapp; 2020 Sep; 41(13):3667-3679. PubMed ID: 32436261
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Preclinical evaluation of MR attenuation correction versus CT attenuation correction on a sequential whole-body MR/PET scanner.
    Bini J; Izquierdo-Garcia D; Mateo J; Machac J; Narula J; Fuster V; Fayad ZA
    Invest Radiol; 2013 May; 48(5):313-22. PubMed ID: 23296082
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning-based attenuation correction for whole-body PET - a multi-tracer study with
    Toyonaga T; Shao D; Shi L; Zhang J; Revilla EM; Menard D; Ankrah J; Hirata K; Chen MK; Onofrey JA; Lu Y
    Eur J Nucl Med Mol Imaging; 2022 Jul; 49(9):3086-3097. PubMed ID: 35277742
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks.
    Zaker N; Haddad K; Faghihi R; Arabi H; Zaidi H
    Eur J Nucl Med Mol Imaging; 2022 Oct; 49(12):4048-4063. PubMed ID: 35716176
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of Sinus/Edge-Corrected Zero-Echo-Time-Based Attenuation Correction in Brain PET/MRI.
    Yang J; Wiesinger F; Kaushik S; Shanbhag D; Hope TA; Larson PEZ; Seo Y
    J Nucl Med; 2017 Nov; 58(11):1873-1879. PubMed ID: 28473594
    [TBL] [Abstract][Full Text] [Related]  

  • 14. One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI.
    Arabi H; Zaidi H
    Eur J Nucl Med Mol Imaging; 2016 Oct; 43(11):2021-35. PubMed ID: 27260522
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI.
    Arabi H; Zeng G; Zheng G; Zaidi H
    Eur J Nucl Med Mol Imaging; 2019 Dec; 46(13):2746-2759. PubMed ID: 31264170
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI.
    Mehranian A; Arabi H; Zaidi H
    Neuroimage; 2016 Apr; 130():123-133. PubMed ID: 26853602
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A cycle-consistent adversarial network for brain PET partial volume correction without prior anatomical information.
    Sanaat A; Shooli H; Böhringer AS; Sadeghi M; Shiri I; Salimi Y; Ginovart N; Garibotto V; Arabi H; Zaidi H
    Eur J Nucl Med Mol Imaging; 2023 Jun; 50(7):1881-1896. PubMed ID: 36808000
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning-based metal artefact reduction in PET/CT imaging.
    Arabi H; Zaidi H
    Eur Radiol; 2021 Aug; 31(8):6384-6396. PubMed ID: 33569626
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.
    Sari H; Teimoorisichani M; Mingels C; Alberts I; Panin V; Bharkhada D; Xue S; Prenosil G; Shi K; Conti M; Rominger A
    Eur J Nucl Med Mol Imaging; 2022 Nov; 49(13):4490-4502. PubMed ID: 35852557
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 65(5):055011. PubMed ID: 31869826
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 34.