BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

875 related articles for article (PubMed ID: 30399157)

  • 1. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.
    Zech JR; Badgeley MA; Liu M; Costa AB; Titano JJ; Oermann EK
    PLoS Med; 2018 Nov; 15(11):e1002683. PubMed ID: 30399157
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 15(11):e1002686. PubMed ID: 30457988
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
    Taylor AG; Mielke C; Mongan J
    PLoS Med; 2018 Nov; 15(11):e1002697. PubMed ID: 30457991
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
    Pan I; Agarwal S; Merck D
    J Digit Imaging; 2019 Oct; 32(5):888-896. PubMed ID: 30838482
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
    Bien N; Rajpurkar P; Ball RL; Irvin J; Park A; Jones E; Bereket M; Patel BN; Yeom KW; Shpanskaya K; Halabi S; Zucker E; Fanton G; Amanatullah DF; Beaulieu CF; Riley GM; Stewart RJ; Blankenberg FG; Larson DB; Jones RH; Langlotz CP; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002699. PubMed ID: 30481176
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 30(9):4943-4951. PubMed ID: 32350657
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 290(1):218-228. PubMed ID: 30251934
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs.
    Cicero M; Bilbily A; Colak E; Dowdell T; Gray B; Perampaladas K; Barfett J
    Invest Radiol; 2017 May; 52(5):281-287. PubMed ID: 27922974
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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;
    JAMA Netw Open; 2019 Mar; 2(3):e191095. PubMed ID: 30901052
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 3(10):e2022779. PubMed ID: 33034642
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.
    Hurt B; Yen A; Kligerman S; Hsiao A
    J Thorac Imaging; 2020 Sep; 35(5):285-293. PubMed ID: 32205817
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.
    Sjoding MW; Taylor D; Motyka J; Lee E; Co I; Claar D; McSparron JI; Ansari S; Kerlin MP; Reilly JP; Shashaty MGS; Anderson BJ; Jones TK; Drebin HM; Ittner CAG; Meyer NJ; Iwashyna TJ; Ward KR; Gillies CE
    Lancet Digit Health; 2021 Jun; 3(6):e340-e348. PubMed ID: 33893070
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence.
    Zhang R; Tie X; Qi Z; Bevins NB; Zhang C; Griner D; Song TK; Nadig JD; Schiebler ML; Garrett JW; Li K; Reeder SB; Chen GH
    Radiology; 2021 Feb; 298(2):E88-E97. PubMed ID: 32969761
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation.
    Majkowska A; Mittal S; Steiner DF; Reicher JJ; McKinney SM; Duggan GE; Eswaran K; Cameron Chen PH; Liu Y; Kalidindi SR; Ding A; Corrado GS; Tse D; Shetty S
    Radiology; 2020 Feb; 294(2):421-431. PubMed ID: 31793848
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data.
    Xin KZ; Li D; Yi PH
    Emerg Radiol; 2022 Feb; 29(1):107-113. PubMed ID: 34648114
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study.
    Zou XL; Ren Y; Feng DY; He XQ; Guo YF; Yang HL; Li X; Fang J; Li Q; Ye JJ; Han LQ; Zhang TT
    PLoS One; 2020; 15(7):e0236378. PubMed ID: 32706807
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.
    Dunnmon JA; Yi D; Langlotz CP; Ré C; Rubin DL; Lungren MP
    Radiology; 2019 Feb; 290(2):537-544. PubMed ID: 30422093
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.
    Kim TK; Yi PH; Wei J; Shin JW; Hager G; Hui FK; Sair HI; Lin CT
    J Digit Imaging; 2019 Dec; 32(6):925-930. PubMed ID: 30972585
    [TBL] [Abstract][Full Text] [Related]  

  • 20. DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set.
    Wehbe RM; Sheng J; Dutta S; Chai S; Dravid A; Barutcu S; Wu Y; Cantrell DR; Xiao N; Allen BD; MacNealy GA; Savas H; Agrawal R; Parekh N; Katsaggelos AK
    Radiology; 2021 Apr; 299(1):E167-E176. PubMed ID: 33231531
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 44.