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Connection

Bin Zheng to Female

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

0.969
  1. Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism. Tomography. 2022 Sep 28; 8(5):2411-2425.
    View in: PubMed
    Score: 0.066
  2. 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: 0.049
  3. Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms. Ann Biomed Eng. 2018 Sep; 46(9):1419-1431.
    View in: PubMed
    Score: 0.048
  4. Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm. Phys Med Biol. 2018 01 30; 63(3):035020.
    View in: PubMed
    Score: 0.048
  5. Computer-aided classification of mammographic masses using visually sensitive image features. J Xray Sci Technol. 2017; 25(1):171-186.
    View in: PubMed
    Score: 0.044
  6. A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology. J Xray Sci Technol. 2017; 25(5):751-763.
    View in: PubMed
    Score: 0.044
  7. Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions. Phys Med Biol. 2017 01 21; 62(2):358-376.
    View in: PubMed
    Score: 0.044
  8. 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: 0.043
  9. 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: 0.042
  10. 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: 0.042
  11. 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: 0.041
  12. Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapy. Med Phys. 2015 Nov; 42(11):6520-8.
    View in: PubMed
    Score: 0.041
  13. Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. Med Phys. 2015 Jul; 42(7):4241-9.
    View in: PubMed
    Score: 0.040
  14. A new approach to develop computer-aided detection schemes of digital mammograms. Phys Med Biol. 2015 Jun 07; 60(11):4413-27.
    View in: PubMed
    Score: 0.039
  15. 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: 0.039
  16. Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. Phys Med Biol. 2014 Aug 07; 59(15):4357-73.
    View in: PubMed
    Score: 0.037
  17. 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: 0.036
  18. Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int J Comput Assist Radiol Surg. 2014 Nov; 9(6):1005-20.
    View in: PubMed
    Score: 0.036
  19. A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
    View in: PubMed
    Score: 0.016
  20. Evaluation and comparison of a CdTe based photon counting detector with an energy integrating detector for X-ray phase sensitive imaging of breast cancer. J Xray Sci Technol. 2022; 30(2):207-219.
    View in: PubMed
    Score: 0.016
  21. A phase sensitive x-ray breast tomosynthesis system: Preliminary patient images with cancer lesions. Phys Med Biol. 2021 10 29; 66(21).
    View in: PubMed
    Score: 0.015
  22. 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: 0.015
  23. 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: 0.014
  24. Predicting Clinical Outcome After Mechanical Thrombectomy: The GADIS (Gender, Age, Diabetes Mellitus History, Infarct Volume, and Current Smoker [corrected]) Score. World Neurosurg. 2020 02; 134:e1130-e1142.
    View in: PubMed
    Score: 0.013
  25. 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: 0.013
  26. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput Methods Programs Biomed. 2019 Oct; 179:104995.
    View in: PubMed
    Score: 0.013
  27. 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: 0.013
  28. Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker. Phys Med Biol. 2018 08 06; 63(15):155020.
    View in: PubMed
    Score: 0.012
  29. Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks. Ann Biomed Eng. 2018 Dec; 46(12):1988-1999.
    View in: PubMed
    Score: 0.012
  30. 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: 0.011
  31. Detection of posteriorly located breast tumors using gold nanoparticles: a breast-mimicking phantom study. J Xray Sci Technol. 2014; 22(6):785-96.
    View in: PubMed
    Score: 0.009
  32. 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: 0.009
  33. Automated detection and analysis of fluorescent in situ hybridization spots depicted in digital microscopic images of Pap-smear specimens. J Biomed Opt. 2009 Mar-Apr; 14(2):021002.
    View in: PubMed
    Score: 0.006
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