Maryellen Giger to Mammography
This is a "connection" page, showing publications Maryellen Giger has written about Mammography.
Connection Strength
4.885
-
Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM. Med Phys. 2019 May; 46(5):2145-2156.
Score: 0.475
-
Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology. 2019 04; 291(1):15-20.
Score: 0.472
-
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: 0.455
-
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: 0.387
-
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: 0.315
-
Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.
Score: 0.185
-
Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set. Radiology. 2019 03; 290(3):621-628.
Score: 0.117
-
Automated seeded lesion segmentation on digital mammograms. IEEE Trans Med Imaging. 1998 Aug; 17(4):510-7.
Score: 0.114
-
Computer-aided methods help cancer diagnoses. Diagn Imaging (San Franc). 1996 Nov; Suppl Digital X:D17-20.
Score: 0.101
-
Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study. Breast Cancer Res. 2014; 16(4):424.
Score: 0.087
-
Computerized characterization of mammographic masses: analysis of spiculation. Cancer Lett. 1994 Mar 15; 77(2-3):201-11.
Score: 0.084
-
Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification. Med Phys. 2014 Mar; 41(3):031915.
Score: 0.084
-
Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers. Med Phys. 2014 Mar; 41(3):031917.
Score: 0.084
-
Computer vision and artificial intelligence in mammography. AJR Am J Roentgenol. 1994 Mar; 162(3):699-708.
Score: 0.084
-
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer. Annu Rev Biomed Eng. 2013; 15:327-57.
Score: 0.079
-
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: 0.076
-
Automated detection of mass lesions in dedicated breast CT: a preliminary study. Med Phys. 2012 Feb; 39(2):866-73.
Score: 0.073
-
Re: effectiveness of computer-aided detection in community mammography practice. J Natl Cancer Inst. 2012 Jan 04; 104(1):77; author reply 78-9.
Score: 0.072
-
Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI. Acad Radiol. 2010 Sep; 17(9):1158-67.
Score: 0.066
-
Correlative feature analysis on FFDM. Med Phys. 2008 Dec; 35(12):5490-500.
Score: 0.058
-
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: 0.058
-
Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset. Acad Radiol. 2008 Nov; 15(11):1437-45.
Score: 0.058
-
Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer. Acad Radiol. 2008 Nov; 15(11):1446-57.
Score: 0.058
-
Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad Radiol. 2008 Feb; 15(2):139-52.
Score: 0.055
-
A dual-stage method for lesion segmentation on digital mammograms. Med Phys. 2007 Nov; 34(11):4180-93.
Score: 0.054
-
Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol. 2007 May; 14(5):513-21.
Score: 0.052
-
Computerized mass detection for digital breast tomosynthesis directly from the projection images. Med Phys. 2006 Feb; 33(2):482-91.
Score: 0.048
-
Computerized detection of mass lesions in digital breast tomosynthesis images using two- and three dimensional radial gradient index segmentation. Technol Cancer Res Treat. 2004 Oct; 3(5):437-41.
Score: 0.044
-
Computerized analysis of images in the detection and diagnosis of breast cancer. Semin Ultrasound CT MR. 2004 Oct; 25(5):411-8.
Score: 0.044
-
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: 0.042
-
Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Med Phys. 2004 Jan; 31(1):81-90.
Score: 0.041
-
Computerized analysis of digitized mammograms of BRCA1 and BRCA2 gene mutation carriers. Radiology. 2002 Nov; 225(2):519-26.
Score: 0.038
-
Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
Score: 0.036
-
Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis. IEEE Trans Med Imaging. 2001 Dec; 20(12):1285-92.
Score: 0.036
-
Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness. Acad Radiol. 2000 Dec; 7(12):1077-84.
Score: 0.033
-
Computer-aided detection and diagnosis of breast cancer. Radiol Clin North Am. 2000 Jul; 38(4):725-40.
Score: 0.032
-
Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: feature selection. Med Phys. 2000 Jan; 27(1):4-12.
Score: 0.031
-
Effect of dominant features on neural network performance in the classification of mammographic lesions. Phys Med Biol. 1999 Oct; 44(10):2579-95.
Score: 0.031
-
Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999 Jan; 6(1):22-33.
Score: 0.029
-
Automated computerized classification of malignant and benign masses on digitized mammograms. Acad Radiol. 1998 Mar; 5(3):155-68.
Score: 0.028
-
Density correction of peripheral breast tissue on digital mammograms. Radiographics. 1996 Nov; 16(6):1403-11.
Score: 0.025
-
Advances in tumor imaging. Sci Am. 1996 Sep; 275(3):110-2.
Score: 0.025
-
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: 0.025
-
Image processing and computer-aided diagnosis. Radiol Clin North Am. 1996 May; 34(3):565-96.
Score: 0.024
-
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: 0.024
-
Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology. 1996 Mar; 198(3):671-8.
Score: 0.024
-
Analysis of spiculation in the computerized classification of mammographic masses. Med Phys. 1995 Oct; 22(10):1569-79.
Score: 0.023
-
Computer-aided detection of clustered microcalcifications on digital mammograms. Med Biol Eng Comput. 1995 Mar; 33(2):174-8.
Score: 0.022
-
Computerized detection of clustered microcalcifications: evaluation of performance on mammograms from multiple centers. Radiographics. 1995 Mar; 15(2):443-52.
Score: 0.022
-
Automated segmentation of digitized mammograms. Acad Radiol. 1995 Jan; 2(1):1-9.
Score: 0.022
-
Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network. Med Phys. 1994 Apr; 21(4):517-24.
Score: 0.021
-
Computerized detection of masses in digital mammograms: automated alignment of breast images and its effect on bilateral-subtraction technique. Med Phys. 1994 Mar; 21(3):445-52.
Score: 0.021
-
Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques. J Digit Imaging. 1994 Feb; 7(1):18-26.
Score: 0.021
-
Effect of case selection on the performance of computer-aided detection schemes. Med Phys. 1994 Feb; 21(2):265-9.
Score: 0.021
-
Computer-aided detection of clustered microcalcifications: an improved method for grouping detected signals. Med Phys. 1993 Nov-Dec; 20(6):1661-6.
Score: 0.020
-
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: 0.020
-
Computers aid diagnosis of breast abnormalities. Diagn Imaging (San Franc). 1993 Jun; 15(6):98-102, 113.
Score: 0.020
-
An "intelligent" workstation for computer-aided diagnosis. Radiographics. 1993 May; 13(3):647-56.
Score: 0.020
-
Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993 Apr; 187(1):81-7.
Score: 0.020
-
Application of the EM algorithm to radiographic images. Med Phys. 1992 Sep-Oct; 19(5):1175-82.
Score: 0.019
-
Computerized detection of clustered microcalcifications in digital mammograms: applications of artificial neural networks. Med Phys. 1992 May-Jun; 19(3):555-60.
Score: 0.018
-
Computer-aided diagnosis: development of automated schemes for quantitative analysis of radiographic images. Semin Ultrasound CT MR. 1992 Apr; 13(2):140-52.
Score: 0.018
-
Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images. Med Phys. 1991 Sep-Oct; 18(5):955-63.
Score: 0.018
-
Computer-aided diagnosis in chest radiology. J Thorac Imaging. 1990 Jan; 5(1):67-76.
Score: 0.016
-
Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment. J Digit Imaging. 2008 Jun; 21(2):145-52.
Score: 0.014
-
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: 0.012
-
Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms. Acad Radiol. 2005 Jul; 12(7):863-73.
Score: 0.011
-
Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography. Acad Radiol. 2004 Mar; 11(3):272-80.
Score: 0.010
-
Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging. Med Phys. 1998 Sep; 25(9):1647-54.
Score: 0.007
-
Potential usefulness of digital imaging in clinical diagnostic radiology: computer-aided diagnosis. J Digit Imaging. 1995 Feb; 8(1 Suppl 1):2-7.
Score: 0.006