BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 37516583)

  • 1. Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility.
    Ahn Y; Lee SM; Nam Y; Lee H; Choe J; Do KH; Seo JB
    Acad Radiol; 2024 Feb; 31(2):693-705. PubMed ID: 37516583
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.
    Bak SH; Kim JH; Jin H; Kwon SO; Kim B; Cha YK; Kim WJ
    Eur Radiol; 2020 Dec; 30(12):6779-6787. PubMed ID: 32601950
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.
    Choe J; Lee SM; Do KH; Lee G; Lee JG; Lee SM; Seo JB
    Radiology; 2019 Aug; 292(2):365-373. PubMed ID: 31210613
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease.
    Hwang HJ; Kim H; Seo JB; Ye JC; Oh G; Lee SM; Jang R; Yun J; Kim N; Park HJ; Lee HY; Yoon SH; Shin KE; Lee JW; Kwon W; Sun JS; You S; Chung MH; Gil BM; Lim JK; Lee Y; Hong SJ; Choi YW
    Korean J Radiol; 2023 Aug; 24(8):807-820. PubMed ID: 37500581
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.
    Lee SM; Lee JG; Lee G; Choe J; Do KH; Kim N; Seo JB
    Korean J Radiol; 2019 Feb; 20(2):295-303. PubMed ID: 30672169
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.
    Eun DI; Woo I; Park B; Kim N; Lee A SM; Seo JB
    Comput Methods Programs Biomed; 2020 Nov; 196():105615. PubMed ID: 32599340
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Measurement Variability of Same-Day CT Quantification of Interstitial Lung Disease: A Multicenter Prospective Study.
    Lee JH; Chae KJ; Park J; Choi SM; Jang MJ; Hwang EJ; Jin GY; Goo JM
    Radiol Cardiothorac Imaging; 2024 Apr; 6(2):e230287. PubMed ID: 38483245
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.
    Zhao R; Sui X; Qin R; Du H; Song L; Tian D; Wang J; Lu X; Wang Y; Song W; Jin Z
    Eur Radiol; 2022 Dec; 32(12):8140-8151. PubMed ID: 35748899
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.
    Choe J; Hwang HJ; Seo JB; Lee SM; Yun J; Kim MJ; Jeong J; Lee Y; Jin K; Park R; Kim J; Jeon H; Kim N; Yi J; Yu D; Kim B
    Radiology; 2022 Jan; 302(1):187-197. PubMed ID: 34636634
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Influence of increasing convolution kernel filtering on plaque imaging with multislice CT using an ex-vivo model of coronary angiography.
    Cademartiri F; Runza G; Mollet NR; Luccichenti G; Belgrano M; Somers P; Knaapen M; Verheye S; Bruining N; Hamers R; Midiri M; De Feyter PJ; Krestin GP
    Radiol Med; 2005 Sep; 110(3):234-40. PubMed ID: 16200045
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach.
    Koh SY; Lee JH; Park H; Goo JM
    Eur Radiol; 2023 Dec; ():. PubMed ID: 38085286
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?
    Hoang-Thi TN; Vakalopoulou M; Christodoulidis S; Paragios N; Revel MP; Chassagnon G
    Diagn Interv Imaging; 2021 Nov; 102(11):691-695. PubMed ID: 34686464
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computed Tomography-Based Deep Learning Model for Assessing the Severity of Patients With Connective Tissue Disease-Associated Interstitial Lung Disease.
    Su N; Hou F; Zheng W; Wu Z; E L
    J Comput Assist Tomogr; 2023 Sep-Oct 01; 47(5):738-745. PubMed ID: 37707403
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning-based harmonization of CT reconstruction kernels towards improved clinical task performance.
    Du D; Lv W; Lv J; Chen X; Wu H; Rahmim A; Lu L
    Eur Radiol; 2023 Apr; 33(4):2426-2438. PubMed ID: 36355196
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer: prognostic significance.
    Ahn Y; Lee SM; Choi S; Lee JS; Choe J; Do KH; Seo JB
    Eur Radiol; 2023 Nov; 33(11):8251-8262. PubMed ID: 37266656
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types.
    Denzler S; Vuong D; Bogowicz M; Pavic M; Frauenfelder T; Thierstein S; Eboulet EI; Maurer B; Schniering J; Gabryś HS; Schmitt-Opitz I; Pless M; Foerster R; Guckenberger M; Tanadini-Lang S
    Br J Radiol; 2021 Apr; 94(1120):20200947. PubMed ID: 33544646
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT.
    Jin H; Heo C; Kim JH
    Phys Med Biol; 2019 Jul; 64(13):135010. PubMed ID: 31185463
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting Usual Interstitial Pneumonia Histopathology From Chest CT Imaging With Deep Learning.
    Bratt A; Williams JM; Liu G; Panda A; Patel PP; Walkoff L; Sykes AG; Tandon YK; Francois CJ; Blezek DJ; Larson NB; Erickson BJ; Yi ES; Moua T; Koo CW
    Chest; 2022 Oct; 162(4):815-823. PubMed ID: 35405110
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT.
    Klaus JB; Christodoulidis S; Peters AA; Hourscht C; Loebelenz LI; Munz J; Schroeder C; Sieron D; Drakopoulos D; Stadler S; Heverhagen JT; Prosch H; Huber A; Pohl M; Mougiakakou SG; Christe A; Ebner L
    Rofo; 2023 Jan; 195(1):47-54. PubMed ID: 36067777
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided identification of interstitial lung disease based on computed tomography.
    Yin N; Shen C; Dong F; Wang J; Guo Y; Bai L
    J Xray Sci Technol; 2019; 27(4):591-603. PubMed ID: 31205009
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.