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Journal Abstract Search

774 related items for PubMed ID: 30901052

  • 1. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
    Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH, Goo JM, Aum J, Yim JJ, Cohen JG, Ferretti GR, Park CM, DLAD Development and Evaluation Group.
    JAMA Netw Open; 2019 Mar 01; 2(3):e191095. PubMed ID: 30901052
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  • 2. Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
    Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY, Vu TH, Sohn JH, Hwang S, Goo JM, Park CM.
    Radiology; 2019 Jan 01; 290(1):218-228. PubMed ID: 30251934
    [Abstract] [Full Text] [Related]

  • 3. Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs.
    Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH, Goo JM, Aum J, Yim JJ, Park CM, Deep Learning-Based Automatic Detection Algorithm Development and Evaluation Group.
    Clin Infect Dis; 2019 Aug 16; 69(5):739-747. PubMed ID: 30418527
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  • 5. Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs.
    Kim H, Lee KH, Han K, Lee JW, Kim JY, Im DJ, Hong YJ, Choi BW, Hur J.
    JAMA Netw Open; 2023 Jan 03; 6(1):e2253820. PubMed ID: 36719681
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  • 7. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
    Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, Duan T, Ding D, Bagul A, Langlotz CP, Patel BN, Yeom KW, Shpanskaya K, Blankenberg FG, Seekins J, Amrhein TJ, Mong DA, Halabi SS, Zucker EJ, Ng AY, Lungren MP.
    PLoS Med; 2018 Nov 03; 15(11):e1002686. PubMed ID: 30457988
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  • 9. Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population.
    Lee JH, Sun HY, Park S, Kim H, Hwang EJ, Goo JM, Park CM.
    Radiology; 2020 Dec 03; 297(3):687-696. PubMed ID: 32960729
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  • 10. External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic.
    Lee DE, Chae KJ, Jin GY, Park SY, Jeong JS, Ahn SY.
    Acta Radiol; 2023 Nov 03; 64(11):2898-2907. PubMed ID: 37750179
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  • 13. Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
    Kim YG, Lee SM, Lee KH, Jang R, Seo JB, Kim N.
    Eur Radiol; 2020 Sep 03; 30(9):4943-4951. PubMed ID: 32350657
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  • 15. Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.
    Toba S, Mitani Y, Yodoya N, Ohashi H, Sawada H, Hayakawa H, Hirayama M, Futsuki A, Yamamoto N, Ito H, Konuma T, Shimpo H, Takao M.
    JAMA Cardiol; 2020 Apr 01; 5(4):449-457. PubMed ID: 31968049
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  • 16. Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.
    Jang S, Song H, Shin YJ, Kim J, Kim J, Lee KW, Lee SS, Lee W, Lee S, Lee KH.
    Radiology; 2020 Sep 01; 296(3):652-661. PubMed ID: 32692300
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  • 17. Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.
    Hurt B, Yen A, Kligerman S, Hsiao A.
    J Thorac Imaging; 2020 Sep 01; 35(5):285-293. PubMed ID: 32205817
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  • 18. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
    Wu JT, Wong KCL, Gur Y, Ansari N, Karargyris A, Sharma A, Morris M, Saboury B, Ahmad H, Boyko O, Syed A, Jadhav A, Wang H, Pillai A, Kashyap S, Moradi M, Syeda-Mahmood T.
    JAMA Netw Open; 2020 Oct 01; 3(10):e2022779. PubMed ID: 33034642
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