BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

476 related articles for article (PubMed ID: 31827586)

  • 1. Molecular Subtypes Recognition of Breast Cancer in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging Phenotypes from Radiomics Data.
    Li W; Yu K; Feng C; Zhao D
    Comput Math Methods Med; 2019; 2019():6978650. PubMed ID: 31827586
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
    Agner SC; Soman S; Libfeld E; McDonald M; Thomas K; Englander S; Rosen MA; Chin D; Nosher J; Madabhushi A
    J Digit Imaging; 2011 Jun; 24(3):446-63. PubMed ID: 20508965
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
    Lee SH; Kim JH; Cho N; Park JS; Yang Z; Jung YS; Moon WK
    Med Phys; 2010 Aug; 37(8):3940-56. PubMed ID: 20879557
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.
    Cui Y; Tan Y; Zhao B; Liberman L; Parbhu R; Kaplan J; Theodoulou M; Hudis C; Schwartz LH
    Med Phys; 2009 Oct; 36(10):4359-69. PubMed ID: 19928066
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
    Chen W; Giger ML; Bick U; Newstead GM
    Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A quantitative heterogeneity analysis approach to molecular subtype recognition of breast cancer in dynamic contrast-enhanced magnetic imaging images from radiomics data.
    Li W; Wang S; Xie W; Feng C
    Quant Imaging Med Surg; 2023 Jul; 13(7):4429-4446. PubMed ID: 37456326
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer.
    Fan M; Li H; Wang S; Zheng B; Zhang J; Li L
    PLoS One; 2017; 12(2):e0171683. PubMed ID: 28166261
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.
    Agner SC; Xu J; Madabhushi A
    Med Phys; 2013 Mar; 40(3):032305. PubMed ID: 23464337
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes.
    Leithner D; Bernard-Davila B; Martinez DF; Horvat JV; Jochelson MS; Marino MA; Avendano D; Ochoa-Albiztegui RE; Sutton EJ; Morris EA; Thakur SB; Pinker K
    Mol Imaging Biol; 2020 Apr; 22(2):453-461. PubMed ID: 31209778
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new automated method for the segmentation and characterization of breast masses on ultrasound images.
    Cui J; Sahiner B; Chan HP; Nees A; Paramagul C; Hadjiiski LM; Zhou C; Shi J
    Med Phys; 2009 May; 36(5):1553-65. PubMed ID: 19544771
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence.
    Chitalia RD; Rowland J; McDonald ES; Pantalone L; Cohen EA; Gastounioti A; Feldman M; Schnall M; Conant E; Kontos D
    Clin Cancer Res; 2020 Feb; 26(4):862-869. PubMed ID: 31732521
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions.
    Madabhushi A; Metaxas DN
    IEEE Trans Med Imaging; 2003 Feb; 22(2):155-69. PubMed ID: 12715992
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images.
    Wu S; Weinstein SP; Conant EF; Schnall MD; Kontos D
    Med Phys; 2013 Apr; 40(4):042301. PubMed ID: 23556914
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation.
    Wu J; Sun X; Wang J; Cui Y; Kato F; Shirato H; Ikeda DM; Li R
    J Magn Reson Imaging; 2017 Oct; 46(4):1017-1027. PubMed ID: 28177554
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients.
    Fan M; Wu G; Cheng H; Zhang J; Shao G; Li L
    Eur J Radiol; 2017 Sep; 94():140-147. PubMed ID: 28712700
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer.
    Ma M; Gan L; Jiang Y; Qin N; Li C; Zhang Y; Wang X
    Comput Math Methods Med; 2021; 2021():2140465. PubMed ID: 34422088
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
    Chatterjee S; Dey D; Munshi S
    Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
    Chen W; Giger ML; Lan L; Bick U
    Med Phys; 2004 May; 31(5):1076-82. PubMed ID: 15191295
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI.
    Nie K; Chen JH; Yu HJ; Chu Y; Nalcioglu O; Su MY
    Acad Radiol; 2008 Dec; 15(12):1513-25. PubMed ID: 19000868
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A fully automatic algorithm for segmentation of the breasts in DCE-MR images.
    Giannini V; Vignati A; Morra L; Persano D; Brizzi D; Carbonaro L; Bert A; Sardanelli F; Regge D
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3146-9. PubMed ID: 21096592
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.