These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 36459599)

  • 1. Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.
    Xie H; Liu Z; Shi L; Greco K; Chen X; Zhou B; Feher A; Stendahl JC; Boutagy N; Kyriakides TC; Wang G; Sinusas AJ; Liu C
    IEEE Trans Med Imaging; 2023 May; 42(5):1325-1336. PubMed ID: 36459599
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Anatomical-based partial volume correction for low-dose dedicated cardiac SPECT/CT.
    Liu H; Chan C; Grobshtein Y; Ma T; Liu Y; Wang S; Stacy MR; Sinusas AJ; Liu C
    Phys Med Biol; 2015 Sep; 60(17):6751-73. PubMed ID: 26296043
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fully automatic multi-atlas segmentation of CTA for partial volume correction in cardiac SPECT/CT.
    Liu Q; Mohy-Ud-Din H; Boutagy NE; Jiang M; Ren S; Stendahl JC; Sinusas AJ; Liu C
    Phys Med Biol; 2017 May; 62(10):3944-3957. PubMed ID: 28266929
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Noise suppressed partial volume correction for cardiac SPECT/CT.
    Chan C; Liu H; Grobshtein Y; Stacy MR; Sinusas AJ; Liu C
    Med Phys; 2016 Sep; 43(9):5225. PubMed ID: 27587054
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantification of intramyocardial blood volume with
    Mohy-Ud-Din H; Boutagy NE; Stendahl JC; Zhuang ZW; Sinusas AJ; Liu C
    J Nucl Cardiol; 2018 Dec; 25(6):2096-2111. PubMed ID: 28695406
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Deep-Learning-Based Partial-Volume Correction Method for Quantitative
    Leube J; Gustafsson J; Lassmann M; Salas-Ramirez M; Tran-Gia J
    J Nucl Med; 2024 Jun; 65(6):980-987. PubMed ID: 38637141
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quantification of intramyocardial blood volume using
    Yousefi H; Shi L; Soufer A; Tsatkin V; Bruni W; Avendano R; Greco K; McMahon D; Thorn S; Miller E; Sinusas A; Liu C
    J Nucl Cardiol; 2023 Feb; 30(1):292-297. PubMed ID: 36319815
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A blind deconvolution method incorporated with anatomical-based filtering for partial volume correction: Validations with
    Wu J; Liu H; Hashemi Zonouz T; Sandoval VM; Mohy-Ud-Din H; Lampert RJ; Sinusas AJ; Liu C; Liu YH
    Med Phys; 2017 Dec; 44(12):6435-6446. PubMed ID: 28994458
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
    Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
    Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantitatively accurate activity measurements with a dedicated cardiac SPECT camera: Physical phantom experiments.
    Pourmoghaddas A; Wells RG
    Med Phys; 2016 Jan; 43(1):44. PubMed ID: 26745898
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Anatomically guided voxel-based partial volume effect correction in brain PET: impact of MRI segmentation.
    Gutierrez D; Montandon ML; Assal F; Allaoua M; Ratib O; Lövblad KO; Zaidi H
    Comput Med Imaging Graph; 2012 Dec; 36(8):610-9. PubMed ID: 23046730
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Implications of CT noise and artifacts for quantitative 99mTc SPECT/CT imaging.
    Hulme KW; Kappadath SC
    Med Phys; 2014 Apr; 41(4):042502. PubMed ID: 24694155
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simulation-based partial volume correction for dopaminergic PET imaging: Impact of segmentation accuracy.
    Rong Y; Vernaleken I; Winz OH; Goedicke A; Mottaghy FM; Kops ER
    Z Med Phys; 2015 Sep; 25(3):230-42. PubMed ID: 25172832
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.
    Ghazi P; Hernandez AM; Abbey C; Yang K; Boone JM
    Med Phys; 2019 Aug; 46(8):3414-3430. PubMed ID: 31102462
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correction of photon attenuation and collimator response for a body-contouring SPECT/CT imaging system.
    Seo Y; Wong KH; Sun M; Franc BL; Hawkins RA; Hasegawa BH
    J Nucl Med; 2005 May; 46(5):868-77. PubMed ID: 15872362
    [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 of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.
    Zhou X; Takayama R; Wang S; Hara T; Fujita H
    Med Phys; 2017 Oct; 44(10):5221-5233. PubMed ID: 28730602
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging.
    Azimi MS; Kamali-Asl A; Ay MR; Zeraatkar N; Hosseini MS; Sanaat A; Dadgar H; Arabi H
    Quant Imaging Med Surg; 2024 Mar; 14(3):2146-2164. PubMed ID: 38545051
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Database of normal human cerebral blood flow measured by SPECT: II. Quantification of I-123-IMP studies with ARG method and effects of partial volume correction.
    Inoue K; Ito H; Shidahara M; Goto R; Kinomura S; Sato K; Taki Y; Okada K; Kaneta T; Fukuda H
    Ann Nucl Med; 2006 Feb; 20(2):139-46. PubMed ID: 16615423
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.