BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 35672567)

  • 1. Machine learning to predict abnormal myocardial perfusion from pre-test features.
    Miller RJH; Hauser MT; Sharir T; Einstein AJ; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli M; Huang C; Liang JX; Han D; Dey D; Berman DS; Slomka PJ
    J Nucl Cardiol; 2022 Oct; 29(5):2393-2403. PubMed ID: 35672567
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry.
    Hu LH; Betancur J; Sharir T; Einstein AJ; Bokhari S; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli M; Germano G; Commandeur F; Liang JX; Otaki Y; Tamarappoo BK; Dey D; Berman DS; Slomka PJ
    Eur Heart J Cardiovasc Imaging; 2020 May; 21(5):549-559. PubMed ID: 31317178
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT.
    Eisenberg E; Miller RJH; Hu LH; Rios R; Betancur J; Azadani P; Han D; Sharir T; Einstein AJ; Bokhari S; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli M; Liang JX; Otaki Y; Tamarappoo BK; Dey D; Berman DS; Slomka PJ
    J Nucl Cardiol; 2022 Oct; 29(5):2295-2307. PubMed ID: 34228341
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of ischemia risk scores.
    Miller RJH; Rozanski A; Slomka PJ; Han D; Gransar H; Hayes SW; Friedman JD; Thomson LEJ; Berman DS
    J Nucl Cardiol; 2023 Feb; 30(1):324-334. PubMed ID: 35484468
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images.
    Miller RJH; Singh A; Otaki Y; Tamarappoo BK; Kavanagh P; Parekh T; Hu LH; Gransar H; Sharir T; Einstein AJ; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli MF; Liang JX; Dey D; Berman DS; Slomka PJ
    Eur J Nucl Med Mol Imaging; 2023 Jan; 50(2):387-397. PubMed ID: 36194270
    [TBL] [Abstract][Full Text] [Related]  

  • 6. External validation of the CRAX2MACE model.
    Hijazi W; Leslie W; Filipchuk N; Choo R; Wilton S; James M; Slomka PJ; Miller RJH
    J Nucl Cardiol; 2023 Apr; 30(2):702-707. PubMed ID: 35419699
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease.
    Otaki Y; Singh A; Kavanagh P; Miller RJH; Parekh T; Tamarappoo BK; Sharir T; Einstein AJ; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli M; Cadet S; Liang JX; Dey D; Berman DS; Slomka PJ
    JACC Cardiovasc Imaging; 2022 Jun; 15(6):1091-1102. PubMed ID: 34274267
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.
    Betancur J; Rubeaux M; Fuchs TA; Otaki Y; Arnson Y; Slipczuk L; Benz DC; Germano G; Dey D; Lin CJ; Berman DS; Kaufmann PA; Slomka PJ
    J Nucl Med; 2017 Jun; 58(6):961-967. PubMed ID: 27811121
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning.
    Singh A; Miller RJH; Otaki Y; Kavanagh P; Hauser MT; Tzolos E; Kwiecinski J; Van Kriekinge S; Wei CC; Sharir T; Einstein AJ; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli M; Liang JX; Huang C; Han D; Dey D; Berman DS; Slomka PJ
    JACC Cardiovasc Imaging; 2023 Feb; 16(2):209-220. PubMed ID: 36274041
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.
    Betancur J; Otaki Y; Motwani M; Fish MB; Lemley M; Dey D; Gransar H; Tamarappoo B; Germano G; Sharir T; Berman DS; Slomka PJ
    JACC Cardiovasc Imaging; 2018 Jul; 11(7):1000-1009. PubMed ID: 29055639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.
    Miller RJH; Kuronuma K; Singh A; Otaki Y; Hayes S; Chareonthaitawee P; Kavanagh P; Parekh T; Tamarappoo BK; Sharir T; Einstein AJ; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Carli MD; Cadet S; Liang JX; Dey D; Berman DS; Slomka PJ
    J Nucl Med; 2022 Nov; 63(11):1768-1774. PubMed ID: 35512997
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detecting obstructive coronary artery disease with machine learning: rest-only gated single photon emission computed tomography myocardial perfusion imaging combined with coronary artery calcium score and cardiovascular risk factors.
    Liu B; Yu W; Zhang F; Shi Y; Yang L; Jiang Q; Wang Y; Wang Y
    Quant Imaging Med Surg; 2023 Mar; 13(3):1524-1536. PubMed ID: 36915324
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Phase II safety and clinical comparison with single-photon emission computed tomography myocardial perfusion imaging for detection of coronary artery disease: flurpiridaz F 18 positron emission tomography.
    Berman DS; Maddahi J; Tamarappoo BK; Czernin J; Taillefer R; Udelson JE; Gibson CM; Devine M; Lazewatsky J; Bhat G; Washburn D
    J Am Coll Cardiol; 2013 Jan; 61(4):469-477. PubMed ID: 23265345
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A model combining rest-only ECG-gated SPECT myocardial perfusion imaging and cardiovascular risk factors can effectively predict obstructive coronary artery disease.
    Liu B; Yu W; Wang J; Shao X; Zhang F; Zhou M; Shi Y; Wang B; Xu Y; Wang Y
    BMC Cardiovasc Disord; 2022 Jun; 22(1):268. PubMed ID: 35705898
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study.
    Amini M; Pursamimi M; Hajianfar G; Salimi Y; Saberi A; Mehri-Kakavand G; Nazari M; Ghorbani M; Shalbaf A; Shiri I; Zaidi H
    Sci Rep; 2023 Sep; 13(1):14920. PubMed ID: 37691039
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trial.
    Hagio T; Moody JB; Poitrasson-Rivière A; Renaud JM; Pierce L; Buckley C; Ficaro EP; Murthy VL
    Eur J Nucl Med Mol Imaging; 2023 Mar; 50(4):1028-1033. PubMed ID: 36401636
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population.
    Arsanjani R; Xu Y; Dey D; Vahistha V; Shalev A; Nakanishi R; Hayes S; Fish M; Berman D; Germano G; Slomka PJ
    J Nucl Cardiol; 2013 Aug; 20(4):553-62. PubMed ID: 23703378
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Stress myocardial perfusion imaging in patients presenting with syncope: Comparison of PET vs. SPECT.
    Thomas M; Patel KK; Peri-Okonny P; Sperry BW; McGhie AI; Badarin FA; Saeed IM; Kennedy KF; Chan P; Spertus JA; Thompson RC; Bateman TM
    J Nucl Cardiol; 2021 Dec; 28(6):2895-2906. PubMed ID: 32405986
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accuracy of Computed Tomographic Angiography and Single-Photon Emission Computed Tomography-Acquired Myocardial Perfusion Imaging for the Diagnosis of Coronary Artery Disease.
    Arbab-Zadeh A; Di Carli MF; Cerci R; George RT; Chen MY; Dewey M; Niinuma H; Vavere AL; Betoko A; Plotkin M; Cox C; Clouse ME; Arai AE; Rochitte CE; Lima JA; Brinker J; Miller JM
    Circ Cardiovasc Imaging; 2015 Oct; 8(10):e003533. PubMed ID: 26467105
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study.
    Rochitte CE; George RT; Chen MY; Arbab-Zadeh A; Dewey M; Miller JM; Niinuma H; Yoshioka K; Kitagawa K; Nakamori S; Laham R; Vavere AL; Cerci RJ; Mehra VC; Nomura C; Kofoed KF; Jinzaki M; Kuribayashi S; de Roos A; Laule M; Tan SY; Hoe J; Paul N; Rybicki FJ; Brinker JA; Arai AE; Cox C; Clouse ME; Di Carli MF; Lima JA
    Eur Heart J; 2014 May; 35(17):1120-30. PubMed ID: 24255127
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.