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Connection

Bin Zheng to Retrospective Studies

This is a "connection" page, showing publications Bin Zheng has written about Retrospective Studies.
Connection Strength

1.343
  1. Improving mammography lesion classification by optimal fusion of handcrafted and deep transfer learning features. Phys Med Biol. 2022 02 21; 67(5).
    View in: PubMed
    Score: 0.124
  2. Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study. Ann Biomed Eng. 2022 Apr; 50(4):413-425.
    View in: PubMed
    Score: 0.124
  3. 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: 0.123
  4. 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: 0.123
  5. 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: 0.115
  6. Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk. Phys Med Biol. 2018 05 15; 63(10):105005.
    View in: PubMed
    Score: 0.096
  7. Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Med Imaging. 2016 08 31; 16(1):52.
    View in: PubMed
    Score: 0.085
  8. 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: 0.084
  9. Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy. J Magn Reson Imaging. 2016 11; 44(5):1099-1106.
    View in: PubMed
    Score: 0.083
  10. 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: 0.081
  11. Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk. Ann Biomed Eng. 2015 Oct; 43(10):2416-28.
    View in: PubMed
    Score: 0.077
  12. Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk. Breast J. 2014 May-Jun; 20(3):249-57.
    View in: PubMed
    Score: 0.072
  13. A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
    View in: PubMed
    Score: 0.032
  14. Quantitative Analysis of Stress-Induced Hyperglycemia and Intracranial Blood Volumes for Predicting Mortality After Intracerebral Hemorrhage. Transl Stroke Res. 2022 08; 13(4):595-603.
    View in: PubMed
    Score: 0.031
  15. 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: 0.028
  16. Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome. J Crit Care. 2019 08; 52:1-9.
    View in: PubMed
    Score: 0.025
  17. 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: 0.022
  18. Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry. Acad Radiol. 2013 Dec; 20(12):1542-50.
    View in: PubMed
    Score: 0.018
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