Maryellen L. Giger to ROC Curve
This is a "connection" page, showing publications Maryellen L. Giger has written about ROC Curve.
Connection Strength
2.789
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Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul; 20(7):847-53.
Score: 0.382
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Region-of-interest reconstruction of motion-contaminated data using a weighted backprojection filtration algorithm. Med Phys. 2006 May; 33(5):1222-38.
Score: 0.236
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Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM. Med Phys. 2019 May; 46(5):2145-2156.
Score: 0.144
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Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology. 2019 04; 291(1):15-20.
Score: 0.143
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Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography. Acad Radiol. 2019 06; 26(6):735-743.
Score: 0.138
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Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Acad Radiol. 2019 02; 26(2):202-209.
Score: 0.136
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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets. Med Phys. 2017 Oct; 44(10):5162-5171.
Score: 0.129
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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: 0.117
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Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer. 2016 Mar 01; 122(5):748-57.
Score: 0.114
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Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era. Eur J Radiol. 2015 Mar; 84(3):392-397.
Score: 0.107
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Simulation studies of data classification by artificial neural networks: potential applications in medical imaging and decision making. J Digit Imaging. 1993 May; 6(2):117-25.
Score: 0.096
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Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging. 2009 Jan; 28(1):122-8.
Score: 0.071
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Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM. Med Phys. 2008 Dec; 35(12):5799-820.
Score: 0.070
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Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population. Radiology. 2008 Aug; 248(2):392-7.
Score: 0.068
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Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.
Score: 0.056
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MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models. Phys Med Biol. 2023 03 23; 68(7).
Score: 0.047
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Computerized analysis of lesions in US images of the breast. Acad Radiol. 1999 Nov; 6(11):665-74.
Score: 0.038
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Feature selection with limited datasets. Med Phys. 1999 Oct; 26(10):2176-82.
Score: 0.037
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Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
Score: 0.027
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Computerized characterization of mammographic masses: analysis of spiculation. Cancer Lett. 1994 Mar 15; 77(2-3):201-11.
Score: 0.025
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Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification. Med Phys. 2014 Mar; 41(3):031915.
Score: 0.025
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Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions. J Magn Reson Imaging. 2014 Jan; 39(1):59-67.
Score: 0.025
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Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg. 2013 Nov; 8(6):895-903.
Score: 0.024
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Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study. Radiology. 2013 Jun; 267(3):787-96.
Score: 0.024
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Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets. J Digit Imaging. 2012 Oct; 25(5):591-8.
Score: 0.023
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Computerized three-class classification of MRI-based prognostic markers for breast cancer. Phys Med Biol. 2011 Sep 21; 56(18):5995-6008.
Score: 0.021
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Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study. Radiology. 2011 Mar; 258(3):696-704.
Score: 0.020
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Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology. 2010 Mar; 254(3):680-90.
Score: 0.019
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Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
Score: 0.019
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Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States. Radiology. 2009 Dec; 253(3):661-71.
Score: 0.019
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A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. IEEE Trans Med Imaging. 2010 Feb; 29(2):428-41.
Score: 0.019
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Correlative feature analysis on FFDM. Med Phys. 2008 Dec; 35(12):5490-500.
Score: 0.018
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Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer. Acad Radiol. 2008 Nov; 15(11):1446-57.
Score: 0.018
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Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad Radiol. 2008 Feb; 15(2):139-52.
Score: 0.017
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Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis. Acad Radiol. 2008 Feb; 15(2):176-85.
Score: 0.017
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Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment. J Digit Imaging. 2008 Jun; 21(2):145-52.
Score: 0.017
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Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn Reson Med. 2007 Sep; 58(3):562-71.
Score: 0.016
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Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol. 2007 May; 14(5):513-21.
Score: 0.016
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Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology. 2006 Aug; 240(2):357-68.
Score: 0.015
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Robustness of computerized lesion detection and classification scheme across different breast US platforms. Radiology. 2005 Dec; 237(3):834-40.
Score: 0.014
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Computerized analysis of mammographic parenchymal patterns for assessing breast cancer risk: effect of ROI size and location. Med Phys. 2004 Mar; 31(3):549-55.
Score: 0.013
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Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
Score: 0.012
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Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology. 2002 Nov; 225(2):519-26.
Score: 0.012
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Breast cancer: effectiveness of computer-aided diagnosis observer study with independent database of mammograms. Radiology. 2002 Aug; 224(2):560-8.
Score: 0.011
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Computerized lesion detection on breast ultrasound. Med Phys. 2002 Jul; 29(7):1438-46.
Score: 0.011
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Computerized diagnosis of breast lesions on ultrasound. Med Phys. 2002 Feb; 29(2):157-64.
Score: 0.011
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Ideal observer approximation using Bayesian classification neural networks. IEEE Trans Med Imaging. 2001 Sep; 20(9):886-99.
Score: 0.011
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Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
Score: 0.011
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Automatic segmentation of breast lesions on ultrasound. Med Phys. 2001 Aug; 28(8):1652-9.
Score: 0.011
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Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
Score: 0.009
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Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility. J Digit Imaging. 1999 Feb; 12(1):34-42.
Score: 0.009
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Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999 Jan; 6(1):22-33.
Score: 0.009
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Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
Score: 0.008
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Automated computerized classification of malignant and benign masses on digitized mammograms. Acad Radiol. 1998 Mar; 5(3):155-68.
Score: 0.008
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An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms. Acad Radiol. 1996 Aug; 3(8):621-7.
Score: 0.007
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An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms. Med Phys. 1996 Apr; 23(4):595-601.
Score: 0.007
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Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology. 1996 Mar; 198(3):671-8.
Score: 0.007
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Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. J Digit Imaging. 1994 Nov; 7(4):196-207.
Score: 0.007
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Multifractal radiographic analysis of osteoporosis. Med Phys. 1994 Apr; 21(4):503-8.
Score: 0.006
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Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network. Med Phys. 1994 Apr; 21(4):517-24.
Score: 0.006
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Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques. J Digit Imaging. 1994 Feb; 7(1):18-26.
Score: 0.006
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Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses. Invest Radiol. 1993 Jun; 28(6):473-81.
Score: 0.006
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Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993 Apr; 187(1):81-7.
Score: 0.006
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Direct comparison of conventional and computed radiography with a dual-image recording technique. Radiographics. 1991 Mar; 11(2):259-68.
Score: 0.005
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Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology. 1991 Jan; 178(1):175-9.
Score: 0.005
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Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study. Radiology. 1990 Dec; 177(3):857-60.
Score: 0.005
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Digital chest radiography: effect on diagnostic accuracy of hard copy, conventional video, and reversed gray scale video display formats. Radiology. 1988 Sep; 168(3):669-73.
Score: 0.004