Hong Liu to Mammography
This is a "connection" page, showing publications Hong Liu has written about Mammography.
Connection Strength
4.918
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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.
Score: 0.557
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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.
Score: 0.524
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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.
Score: 0.448
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Dose and detectability improvements with high energy phase sensitive x-ray imaging in comparison to low energy conventional imaging. Phys Med Biol. 2014 May 07; 59(9):N37-48.
Score: 0.426
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Image quality and dose efficiency of high energy phase sensitive x-ray imaging: phantom studies. J Xray Sci Technol. 2014; 22(3):321-34.
Score: 0.418
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Detection of posteriorly located breast tumors using gold nanoparticles: a breast-mimicking phantom study. J Xray Sci Technol. 2014; 22(6):785-96.
Score: 0.418
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The effects of x-ray beam hardening on detective quantum efficiency and radiation dose. J Xray Sci Technol. 2011; 19(4):509-19.
Score: 0.340
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Preliminary feasibility study of an in-line phase contrast X-ray imaging prototype. IEEE Trans Biomed Eng. 2008 Sep; 55(9):2249-57.
Score: 0.289
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A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis. Radiology. 2023 Feb; 306(2):e213198.
Score: 0.192
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A phase sensitive x-ray breast tomosynthesis system: Preliminary patient images with cancer lesions. Phys Med Biol. 2021 10 29; 66(21).
Score: 0.180
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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.
Score: 0.173
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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.
Score: 0.154
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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.
Score: 0.141
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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.
Score: 0.139
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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.
Score: 0.129
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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.
Score: 0.116
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A new approach to develop computer-aided detection schemes of digital mammograms. Phys Med Biol. 2015 Jun 07; 60(11):4413-27.
Score: 0.115
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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.
Score: 0.114
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Comparison of analog and digital Fourier transforms in medical image analysis. J Biomed Opt. 2002 Apr; 7(2):255-61.
Score: 0.046