BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 32728098)

  • 1. Radiomics feature reproducibility under inter-rater variability in segmentations of CT images.
    Haarburger C; Müller-Franzes G; Weninger L; Kuhl C; Truhn D; Merhof D
    Sci Rep; 2020 Jul; 10(1):12688. PubMed ID: 32728098
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust Radiomics feature quantification using semiautomatic volumetric segmentation.
    Parmar C; Rios Velazquez E; Leijenaar R; Jermoumi M; Carvalho S; Mak RH; Mitra S; Shankar BU; Kikinis R; Haibe-Kains B; Lambin P; Aerts HJ
    PLoS One; 2014; 9(7):e102107. PubMed ID: 25025374
    [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. Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.
    Tunali I; Hall LO; Napel S; Cherezov D; Guvenis A; Gillies RJ; Schabath MB
    Med Phys; 2019 Nov; 46(11):5075-5085. PubMed ID: 31494946
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis.
    Spuhler KD; Ding J; Liu C; Sun J; Serrano-Sosa M; Moriarty M; Huang C
    Magn Reson Med; 2019 Aug; 82(2):786-795. PubMed ID: 30957936
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.
    Lee H; Chang W; Kim HY; Sung P; Cho J; Lee YJ; Kim YH
    Eur Radiol; 2024 Mar; 34(3):2036-2047. PubMed ID: 37656175
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
    Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
    Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study.
    Zhong J; Xia Y; Chen Y; Li J; Lu W; Shi X; Feng J; Yan F; Yao W; Zhang H
    Eur Radiol; 2023 Feb; 33(2):812-824. PubMed ID: 36197579
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of liver metastases radiomic feature reproducibility with deep-learning-based semi-automatic segmentation software.
    Wang L; Tan J; Ge Y; Tao X; Cui Z; Fei Z; Lu J; Zhang H; Pan Z
    Acta Radiol; 2021 Mar; 62(3):291-301. PubMed ID: 32517533
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inter-Reader Variability of Volumetric Subsolid Pulmonary Nodule Radiomic Features.
    Azour L; Moore WH; O'Donnell T; Truong MT; Babb J; Niu B; Wimmer A; Kiumehr S; Ko JP
    Acad Radiol; 2022 Feb; 29 Suppl 2():S98-S107. PubMed ID: 33610452
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data.
    Beichel RR; Smith BJ; Bauer C; Ulrich EJ; Ahmadvand P; Budzevich MM; Gillies RJ; Goldgof D; Grkovski M; Hamarneh G; Huang Q; Kinahan PE; Laymon CM; Mountz JM; Muzi JP; Muzi M; Nehmeh S; Oborski MJ; Tan Y; Zhao B; Sunderland JJ; Buatti JM
    Med Phys; 2017 Feb; 44(2):479-496. PubMed ID: 28205306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reproducibility and non-redundancy of radiomic features extracted from arterial phase CT scans in hepatocellular carcinoma patients: impact of tumor segmentation variability.
    Qiu Q; Duan J; Duan Z; Meng X; Ma C; Zhu J; Lu J; Liu T; Yin Y
    Quant Imaging Med Surg; 2019 Mar; 9(3):453-464. PubMed ID: 31032192
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans.
    Lassen BC; Jacobs C; Kuhnigk JM; van Ginneken B; van Rikxoort EM
    Phys Med Biol; 2015 Feb; 60(3):1307-23. PubMed ID: 25591989
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust shape regression for supervised vessel segmentation and its application to coronary segmentation in CTA.
    Schaap M; van Walsum T; Neefjes L; Metz C; Capuano E; de Bruijne M; Niessen W
    IEEE Trans Med Imaging; 2011 Nov; 30(11):1974-86. PubMed ID: 21708497
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset.
    Ibrahim A; Refaee T; Leijenaar RTH; Primakov S; Hustinx R; Mottaghy FM; Woodruff HC; Maidment ADA; Lambin P
    PLoS One; 2021; 16(5):e0251147. PubMed ID: 33961646
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
    Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
    Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets.
    Pusterla O; Heule R; Santini F; Weikert T; Willers C; Andermatt S; Sandkühler R; Nyilas S; Latzin P; Bieri O; Bauman G
    Magn Reson Med; 2022 Jul; 88(1):391-405. PubMed ID: 35348244
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robustness of Radiomic Features: Two-Dimensional versus Three-Dimensional MRI-Based Feature Reproducibility in Lipomatous Soft-Tissue Tumors.
    Sudjai N; Siriwanarangsun P; Lektrakul N; Saiviroonporn P; Maungsomboon S; Phimolsarnti R; Asavamongkolkul A; Chandhanayingyong C
    Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673068
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Intracranial aneurysm segmentation in 3D CT angiography: method and quantitative validation with and without prior noise filtering.
    Firouzian A; Manniesing R; Flach ZH; Risselada R; van Kooten F; Sturkenboom MC; van der Lugt A; Niessen WJ
    Eur J Radiol; 2011 Aug; 79(2):299-304. PubMed ID: 20346606
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters.
    Emaminejad N; Wahi-Anwar MW; Kim GHJ; Hsu W; Brown M; McNitt-Gray M
    Med Phys; 2021 Jun; 48(6):2906-2919. PubMed ID: 33706419
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.