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Connection

Hong Liu to Humans

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

0.910
  1. A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
    View in: PubMed
    Score: 0.047
  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: 0.045
  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: 0.044
  4. Mathematical estimation of half-value layer thicknesses. J Appl Clin Med Phys. 2021 Oct; 22(10):320-328.
    View in: PubMed
    Score: 0.044
  5. 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: 0.043
  6. The role of chest computed tomography in the management of COVID-19: A review of results and recommendations. Exp Biol Med (Maywood). 2020 07; 245(13):1096-1103.
    View in: PubMed
    Score: 0.040
  7. 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: 0.034
  8. Detectability comparison between a high energy x-ray phase sensitive and mammography systems in imaging phantoms with varying glandular-adipose ratios. Phys Med Biol. 2017 05 07; 62(9):3523-3538.
    View in: PubMed
    Score: 0.032
  9. 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: 0.028
  10. Feature selection for the automated detection of metaphase chromosomes: performance comparison using a receiver operating characteristic method. Anal Cell Pathol (Amst). 2014; 2014:565392.
    View in: PubMed
    Score: 0.027
  11. Identification of nitric oxide as an endogenous inhibitor of 26S proteasomes in vascular endothelial cells. PLoS One. 2014; 9(5):e98486.
    View in: PubMed
    Score: 0.026
  12. Proteasomal degradation of O-GlcNAc transferase elevates hypoxia-induced vascular endothelial inflammatory response†. Cardiovasc Res. 2014 Jul 01; 103(1):131-9.
    View in: PubMed
    Score: 0.026
  13. Three-dimensional x-ray fluorescence mapping of a gold nanoparticle-loaded phantom. Med Phys. 2014 Mar; 41(3):031902.
    View in: PubMed
    Score: 0.026
  14. 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: 0.026
  15. Evaluations of auto-focusing methods under a microscopic imaging modality for metaphase chromosome image analysis. Anal Cell Pathol (Amst). 2013; 36(1-2):37-44.
    View in: PubMed
    Score: 0.024
  16. The impact of the condenser on cytogenetic image quality in digital microscope system. Anal Cell Pathol (Amst). 2013; 36(1-2):45-59.
    View in: PubMed
    Score: 0.024
  17. Simultaneous dual-color fluorescence microscope: a characterization study. Anal Cell Pathol (Amst). 2013; 36(5-6):163-72.
    View in: PubMed
    Score: 0.024
  18. Angiogenesis impairment in diabetes: role of methylglyoxal-induced receptor for advanced glycation endproducts, autophagy and vascular endothelial growth factor receptor 2. PLoS One. 2012; 7(10):e46720.
    View in: PubMed
    Score: 0.024
  19. Enhancement of 26S proteasome functionality connects oxidative stress and vascular endothelial inflammatory response in diabetes mellitus. Arterioscler Thromb Vasc Biol. 2012 Sep; 32(9):2131-40.
    View in: PubMed
    Score: 0.023
  20. 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: 0.018
  21. A convenient alignment approach for x-ray imaging experiments based on laser positioning devices. Med Phys. 2008 Nov; 35(11):4907-10.
    View in: PubMed
    Score: 0.018
  22. Automated classification of metaphase chromosomes: optimization of an adaptive computerized scheme. J Biomed Inform. 2009 Feb; 42(1):22-31.
    View in: PubMed
    Score: 0.017
  23. A rule-based computer scheme for centromere identification and polarity assignment of metaphase chromosomes. Comput Methods Programs Biomed. 2008 Jan; 89(1):33-42.
    View in: PubMed
    Score: 0.017
  24. Photoimmunotherapy for cancer treatment. J Environ Pathol Toxicol Oncol. 2006; 25(1-2):281-91.
    View in: PubMed
    Score: 0.015
  25. Characterization of a CCD-based digital x-ray imaging system for small-animal studies: properties of spatial resolution. Appl Opt. 2002 May 01; 41(13):2420-7.
    View in: PubMed
    Score: 0.011
  26. Recent advances and clinical applications of deep learning in medical image analysis. Med Image Anal. 2022 07; 79:102444.
    View in: PubMed
    Score: 0.011
  27. Comparison of analog and digital Fourier transforms in medical image analysis. J Biomed Opt. 2002 Apr; 7(2):255-61.
    View in: PubMed
    Score: 0.011
  28. Haploidentical vs sibling, unrelated, or cord blood hematopoietic cell transplantation for acute lymphoblastic leukemia. Blood Adv. 2022 01 11; 6(1):339-357.
    View in: PubMed
    Score: 0.011
  29. Using Fourier ptychography microscopy to achieve high-resolution chromosome imaging: an initial evaluation. J Biomed Opt. 2022 01; 27(1).
    View in: PubMed
    Score: 0.011
  30. 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: 0.011
  31. 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: 0.010
  32. 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: 0.009
  33. 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: 0.009
  34. 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: 0.009
  35. 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: 0.009
  36. 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: 0.009
  37. 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: 0.008
  38. 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: 0.008
  39. 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: 0.008
  40. 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: 0.008
  41. 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: 0.007
  42. 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: 0.007
  43. 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: 0.007
  44. 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: 0.007
  45. 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: 0.007
  46. Upregulation of Unc-51-like kinase 1 by nitric oxide stabilizes SIRT1, independent of autophagy. PLoS One. 2014; 9(12):e116165.
    View in: PubMed
    Score: 0.007
  47. Chitosan oligosaccharides block LPS-induced O-GlcNAcylation of NF-?B and endothelial inflammatory response. Carbohydr Polym. 2014 Jan; 99:568-78.
    View in: PubMed
    Score: 0.006
  48. Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images. J Biomed Inform. 2008 Apr; 41(2):264-71.
    View in: PubMed
    Score: 0.004
  49. A computer-aided method to expedite the evaluation of prognosis for childhood acute lymphoblastic leukemia. Technol Cancer Res Treat. 2006 Aug; 5(4):429-36.
    View in: PubMed
    Score: 0.004
  50. 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: 0.003
  51. A phase I human trial of mitoguazone and gemcitabine sequential bi-weekly treatment of cancer patients. Cancer Invest. 2003; 21(4):542-9.
    View in: PubMed
    Score: 0.003
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.