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Connection

Hong Liu to Breast Neoplasms

This is a "connection" page, showing publications Hong Liu has written about Breast Neoplasms.
Connection Strength

4.268
  1. A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
    View in: PubMed
    Score: 0.563
  2. 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: 0.535
  3. 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: 0.528
  4. Development and preclinical evaluation of a patient-specific high energy x-ray phase sensitive breast tomosynthesis system. Med Phys. 2021 May; 48(5):2511-2520.
    View in: PubMed
    Score: 0.508
  5. Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems. Phys Med. 2018 Mar; 47:34-41.
    View in: PubMed
    Score: 0.409
  6. Low dose high energy x-ray in-line phase sensitive imaging prototype: Investigation of optimal geometric conditions and design parameters. J Xray Sci Technol. 2015; 23(6):667-82.
    View in: PubMed
    Score: 0.329
  7. Three-dimensional x-ray fluorescence mapping of a gold nanoparticle-loaded phantom. Med Phys. 2014 Mar; 41(3):031902.
    View in: PubMed
    Score: 0.311
  8. 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: 0.307
  9. 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: 0.113
  10. 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: 0.105
  11. 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: 0.104
  12. 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: 0.102
  13. 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: 0.095
  14. 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: 0.087
  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: 0.084
  16. Magnetic resonance imaging guidance for laser photothermal therapy. J Biomed Opt. 2008 Jul-Aug; 13(4):044033.
    View in: PubMed
    Score: 0.052
  17. Synergistic effect of sequential administration of mitoguazone (MGBG) and gemcitabine in treating tissue cultured human breast cancer cells and mammary rat tumors. Cancer Invest. 2003 Apr; 21(2):217-26.
    View in: PubMed
    Score: 0.036
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.