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Journal Abstract Search

183 related items for PubMed ID: 33420092

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  • 3. Parametric response mapping monitors temporal changes on lung CT scans in the subpopulations and intermediate outcome measures in COPD Study (SPIROMICS).
    Boes JL, Hoff BA, Bule M, Johnson TD, Rehemtulla A, Chamberlain R, Hoffman EA, Kazerooni EA, Martinez FJ, Han MK, Ross BD, Galbán CJ.
    Acad Radiol; 2015 Feb; 22(2):186-94. PubMed ID: 25442794
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  • 4. Causal inference analysis of the radiologic progression in the chronic obstructive pulmonary disease.
    Im Y, Lee K, Lee SM, Shin SH, Choi Y, Lee JS, Oh YM, Kim J, Oh YJ, Lee HY, Park HY.
    Sci Rep; 2024 Aug 01; 14(1):17838. PubMed ID: 39090153
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  • 5. Voxel-Wise Longitudinal Parametric Response Mapping Analysis of Chest Computed Tomography in Smokers.
    Labaki WW, Gu T, Murray S, Hatt CR, Galbán CJ, Ross BD, Martinez CH, Curtis JL, Hoffman EA, Pompe E, Lynch DA, Kazerooni EA, Martinez FJ, Han MK.
    Acad Radiol; 2019 Feb 01; 26(2):217-223. PubMed ID: 30055897
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  • 11. Association between Functional Small Airway Disease and FEV1 Decline in Chronic Obstructive Pulmonary Disease.
    Bhatt SP, Soler X, Wang X, Murray S, Anzueto AR, Beaty TH, Boriek AM, Casaburi R, Criner GJ, Diaz AA, Dransfield MT, Curran-Everett D, Galbán CJ, Hoffman EA, Hogg JC, Kazerooni EA, Kim V, Kinney GL, Lagstein A, Lynch DA, Make BJ, Martinez FJ, Ramsdell JW, Reddy R, Ross BD, Rossiter HB, Steiner RM, Strand MJ, van Beek EJ, Wan ES, Washko GR, Wells JM, Wendt CH, Wise RA, Silverman EK, Crapo JD, Bowler RP, Han MK, COPDGene Investigators.
    Am J Respir Crit Care Med; 2016 Jul 15; 194(2):178-84. PubMed ID: 26808615
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  • 12. Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening.
    Chen B, Liu Z, Lu J, Li Z, Kuang K, Yang J, Wang Z, Sun Y, Du B, Qi L, Li M.
    Respir Res; 2023 Nov 28; 24(1):299. PubMed ID: 38017476
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  • 13. Lobar distribution of non-emphysematous gas trapping and lung hyperinflation in chronic obstructive pulmonary disease.
    Shima H, Tanabe N, Sato S, Oguma T, Kubo T, Kozawa S, Koizumi K, Watanabe A, Sato A, Togashi K, Hirai T.
    Respir Investig; 2020 Jul 28; 58(4):246-254. PubMed ID: 32085990
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  • 15. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
    Fu J, Yang Y, Singhrao K, Ruan D, Chu FI, Low DA, Lewis JH.
    Med Phys; 2019 Sep 28; 46(9):3788-3798. PubMed ID: 31220353
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  • 18. Using Novel Computed Tomography Analysis to Describe the Contribution and Distribution of Emphysema and Small Airways Disease in Chronic Obstructive Pulmonary Disease.
    Ostridge K, Gove K, Paas KHW, Burke H, Freeman A, Harden S, Kirby M, Peterson S, Sieren J, McCrae C, Vaarala O, Staples KJ, Wilkinson TMA.
    Ann Am Thorac Soc; 2019 Aug 28; 16(8):990-997. PubMed ID: 30892055
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  • 19. Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography.
    Almeida SD, Norajitra T, Lüth CT, Wald T, Weru V, Nolden M, Jäger PF, von Stackelberg O, Heußel CP, Weinheimer O, Biederer J, Kauczor HU, Maier-Hein K.
    Front Med (Lausanne); 2024 Aug 28; 11():1360706. PubMed ID: 38495118
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  • 20. Multi-Layer Perceptron Classifier with the Proposed Combined Feature Vector of 3D CNN Features and Lung Radiomics Features for COPD Stage Classification.
    Yang Y, Zeng N, Chen Z, Li W, Guo Y, Wang S, Duan W, Liu Y, Chen R, Kang Y.
    J Healthc Eng; 2023 Aug 28; 2023():3715603. PubMed ID: 37953910
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