Robert Nishikawa to ROC Curve
This is a "connection" page, showing publications Robert Nishikawa has written about ROC Curve.
Connection Strength
1.406
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Estimating sensitivity and specificity for technology assessment based on observer studies. Acad Radiol. 2013 Jul; 20(7):825-30.
Score: 0.383
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The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks. IEEE Trans Med Imaging. 2005 Mar; 24(3):293-9.
Score: 0.217
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Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover. Breast Cancer Res. 2024 02 01; 26(1):21.
Score: 0.202
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A receiver operating characteristic partial area index for highly sensitive diagnostic tests. Radiology. 1996 Dec; 201(3):745-50.
Score: 0.123
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Clinically missed cancer: how effectively can radiologists use computer-aided detection? AJR Am J Roentgenol. 2012 Mar; 198(3):708-16.
Score: 0.088
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Clinical significance of serum growth-regulated oncogene alpha (GROalpha) in patients with gynecological cancer. Eur J Gynaecol Oncol. 2012; 33(2):138-41.
Score: 0.087
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Computer-aided screening mammography. N Engl J Med. 2007 Jul 05; 357(1):84; author reply 85.
Score: 0.064
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Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model. Med Phys. 2002 Dec; 29(12):2861-70.
Score: 0.046
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Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance. Acad Radiol. 2002 Sep; 9(9):1036-43.
Score: 0.046
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Optimization and FROC analysis of rule-based detection schemes using a multiobjective approach. IEEE Trans Med Imaging. 1998 Dec; 17(6):1089-93.
Score: 0.035
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Using breast radiographers' reports as a second opinion for radiologists' readings of microcalcifications in digital mammography. Br J Radiol. 2015 Mar; 88(1047):20140565.
Score: 0.027
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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: 0.014
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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: 0.011
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Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol. 1999 Aug; 31(2):97-109.
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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Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Med Phys. 1998 Jun; 25(6):949-56.
Score: 0.009
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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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Toward consensus on quantitative assessment of medical imaging systems. Med Phys. 1995 Jul; 22(7):1057-61.
Score: 0.007
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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