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Connection

Bin Zheng to Tomography, X-Ray Computed

This is a "connection" page, showing publications Bin Zheng has written about Tomography, X-Ray Computed.
Connection Strength

2.718
  1. Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int J Med Inform. 2020 12; 144:104284.
    View in: PubMed
    Score: 0.587
  2. A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images. Comput Methods Programs Biomed. 2017 Jun; 144:97-104.
    View in: PubMed
    Score: 0.460
  3. Improving lung cancer prognosis assessment by incorporating synthetic minority oversampling technique and score fusion method. Med Phys. 2016 Jun; 43(6):2694-2703.
    View in: PubMed
    Score: 0.435
  4. Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis. Acta Radiol. 2016 Sep; 57(9):1149-55.
    View in: PubMed
    Score: 0.421
  5. Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images. J Xray Sci Technol. 2022; 30(2):377-388.
    View in: PubMed
    Score: 0.160
  6. Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients. J Xray Sci Technol. 2022; 30(3):459-475.
    View in: PubMed
    Score: 0.160
  7. Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. Comput Methods Programs Biomed. 2021 Mar; 200:105937.
    View in: PubMed
    Score: 0.150
  8. Quantitative investigation of the edge enhancement in in-line phase contrast projections and tomosynthesis provided by distributing microbubbles on the interface between two tissues: a phantom study. Phys Med Biol. 2017 Nov 21; 62(24):9357-9376.
    View in: PubMed
    Score: 0.120
  9. Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy. Acad Radiol. 2017 10; 24(10):1233-1239.
    View in: PubMed
    Score: 0.116
  10. Correlation of imaging and plasma based biomarkers to predict response to bevacizumab in epithelial ovarian cancer (EOC). Gynecol Oncol. 2021 05; 161(2):382-388.
    View in: PubMed
    Score: 0.038
  11. Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput Methods Programs Biomed. 2020 Dec; 197:105759.
    View in: PubMed
    Score: 0.037
  12. Measurements of adiposity as prognostic biomarkers for survival with anti-angiogenic treatment in epithelial ovarian cancer: An NRG Oncology/Gynecologic Oncology Group ancillary data analysis of GOG 218. Gynecol Oncol. 2019 10; 155(1):69-74.
    View in: PubMed
    Score: 0.034
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

THIS IS A DEVELOPMENT VERSION OF PROFILES. PLEASE GO TO THE PRODUCTION ENVIRONMENT FOR UPDATES