Yulei Jiang to Female
This is a "connection" page, showing publications Yulei Jiang has written about Female.
Connection Strength
0.312
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Artificial Intelligence Applied to Breast MRI for Improved Diagnosis. Radiology. 2021 01; 298(1):38-46.
Score: 0.037
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Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue. AJR Am J Roentgenol. 2018 08; 211(2):452-461.
Score: 0.032
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Estimating screening-mammography receiver operating characteristic (ROC) curves from stratified random samples of screening mammograms: a simulation study. Acad Radiol. 2015 May; 22(5):580-90.
Score: 0.025
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Accuracy of axillary lymph node staging in breast cancer patients: an observer-performance study comparison of MRI and ultrasound. Acad Radiol. 2013 Nov; 20(11):1399-404.
Score: 0.023
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On the shape of the population ROC curve. Acad Radiol. 2013 Jul; 20(7):897-907.
Score: 0.022
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BI-RADS data should not be used to estimate ROC curves. Radiology. 2010 Jul; 256(1):29-31.
Score: 0.018
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Breast cancer detection rate: designing imaging trials to demonstrate improvements. Radiology. 2007 May; 243(2):360-7.
Score: 0.015
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A quadratic model for combining quantitative diagnostic assessments from radiologist and computer in computer-aided diagnosis. Acad Radiol. 2006 Feb; 13(2):140-51.
Score: 0.013
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Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol. 2006 Jan; 13(1):84-94.
Score: 0.013
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Effect of correlation on combining diagnostic information from two images of the same patient. Med Phys. 2005 Nov; 32(11):3329-38.
Score: 0.013
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A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Trans Med Imaging. 2005 Mar; 24(3):371-80.
Score: 0.013
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Uncertainty in the output of artificial neural networks. IEEE Trans Med Imaging. 2003 Jul; 22(7):913-21.
Score: 0.011
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Computer-aided diagnosis of breast cancer in mammography: evidence and potential. Technol Cancer Res Treat. 2002 Jun; 1(3):211-6.
Score: 0.010
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Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001 Sep; 220(3):787-94.
Score: 0.010
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Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With ThatĀ of Radiologists. Chest. 2019 07; 156(1):112-119.
Score: 0.008
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Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation. Arthritis Rheumatol. 2016 11; 68(11):2740-2751.
Score: 0.007
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Kinetic Analysis of Benign and Malignant Breast Lesions With Ultrafast Dynamic Contrast-Enhanced MRI: Comparison With Standard Kinetic Assessment. AJR Am J Roentgenol. 2016 Nov; 207(5):1159-1166.
Score: 0.007
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Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.
Score: 0.007
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Consistency of metabolic tumor volume of non-small-cell lung cancer primary tumor measured using 18F-FDG PET/CT at two different tracer uptake times. Nucl Med Commun. 2016 Jan; 37(1):50-6.
Score: 0.007
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Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary? Nucl Med Commun. 2015 Aug; 36(8):782-9.
Score: 0.007
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A new PET/CT volumetric prognostic index for non-small cell lung cancer. Lung Cancer. 2015 Jul; 89(1):43-9.
Score: 0.006
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Diffusion-weighted MR imaging of focal liver lesions in the left and right lobes: is there a difference in ADC values? Acad Radiol. 2013 Apr; 20(4):440-5.
Score: 0.006