Grace Hyun Kim • UCLA Profiles (original) (raw)

  1. Minimum clinically important difference in Quantitative Lung Fibrosis score associated with all-cause mortality in idiopathic pulmonary fibrosis: subanalysis from two phase II trials of pamrevlumab. BMJ Open. 2025 May 12; 15(5):e094559. Kim GH, Zhang X, Brown MS, Poole L, Goldin J. PMID: 40355288; PMCID: PMC12083266.
    View in: PubMed Mentions: 1 Fields:
    Translation:HumansCTClinical Trials
  2. Evaluation of ChatGPT-Generated Educational Patient Pamphlets for Common Interventional Radiology Procedures. Acad Radiol. 2024 11; 31(11):4548-4553. Kooraki S, Hosseiny M, Jalili MH, Rahsepar AA, Imanzadeh A, Kim GH, Hassani C, Abtin F, Moriarty JM, Bedayat A. PMID: 38839458.
    View in: PubMed Mentions: 4 Fields:
    Translation:Humans
  3. A study design for statistical learning technique to predict radiological progression with an application of idiopathic pulmonary fibrosis using chest CT images. Contemp Clin Trials. 2021 05; 104:106333. Kim GHJ, Shi Y, Yu W, Wong WK. PMID: 33753286; PMCID: PMC8204677.
    View in: PubMed Mentions: 5 Fields:
    Translation:Humans
  4. Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach. Artif Intell Med. 2019 09; 100:101709. Shi Y, Wong WK, Goldin JG, Brown MS, Kim GHJ. PMID: 31607341.
    View in: PubMed Mentions: 14 Fields:
    Translation:Humans
  5. Prediction of idiopathic pulmonary fibrosis progression using early quantitative changes on CT imaging for a short term of clinical 18-24-month follow-ups. Eur Radiol. 2020 Feb; 30(2):726-734. Kim GHJ, Weigt SS, Belperio JA, Brown MS, Shi Y, Lai JH, Goldin JG. PMID: 31451973.
    View in: PubMed Mentions: 22 Fields:
    Translation:Humans
  6. Reliability and minimal clinically important differences of forced vital capacity: Results from the Scleroderma Lung Studies (SLS-I and SLS-II). Am J Respir Crit Care Med. 2018 03 01; 197(5):644-652. Kafaja S, Clements PJ, Wilhalme H, Tseng CH, Furst DE, Kim GH, Goldin J, Volkmann ER, Roth MD, Tashkin DP, Khanna D. PMID: 29099620; PMCID: PMC6008871.
    View in: PubMed Mentions: 62 Fields:
    Translation:Humans
  7. Comparison of the quantitative CT imaging biomarkers of idiopathic pulmonary fibrosis at baseline and early change with an interval of 7 months. Acad Radiol. 2015 Jan; 22(1):70-80. Kim HJ, Brown MS, Chong D, Gjertson DW, Lu P, Kim HJ, Coy H, Goldin JG. PMID: 25262954.
    View in: PubMed Mentions: 59 Fields:
    Translation:Humans
  8. Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide. Eur Radiol. 2011 Dec; 21(12):2455-65. Kim HJ, Brown MS, Elashoff R, Li G, Gjertson DW, Lynch DA, Strollo DC, Kleerup E, Chong D, Shah SK, Ahmad S, Abtin F, Tashkin DP, Goldin JG. PMID: 21927793.
    View in: PubMed Mentions: 58 Fields:
    Translation:Humans
  9. A computer-aided diagnosis system for quantitative scoring of extent of lung fibrosis in scleroderma patients. Clin Exp Rheumatol. 2010 Sep-Oct; 28(5 Suppl 62):S26-35. Kim HG, Tashkin DP, Clements PJ, Li G, Brown MS, Elashoff R, Gjertson DW, Abtin F, Lynch DA, Strollo DC, Goldin JG. PMID: 21050542; PMCID: PMC3177564.
    View in: PubMed Mentions: 84 Fields:
    Translation:Humans
  10. Classification of parenchymal abnormality in scleroderma lung using a novel approach to denoise images collected via a multicenter study. Acad Radiol. 2008 Aug; 15(8):1004-16. Kim HJ, Li G, Gjertson D, Elashoff R, Shah SK, Ochs R, Vasunilashorn F, Abtin F, Brown MS, Goldin JG. PMID: 18620121; PMCID: PMC2584616.
    View in: PubMed Mentions: 34 Fields:

This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.

This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.

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