Abraham H. Dachman to Imaging, Three-Dimensional
This is a "connection" page, showing publications Abraham H. Dachman has written about Imaging, Three-Dimensional.
Connection Strength
1.229
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Comparison of 2D and 3D views for evaluation of flat lesions in CT colonography. Acad Radiol. 2010 Jan; 17(1):39-47.
Score: 0.263
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Automated knowledge-guided segmentation of colonic walls for computerized detection of polyps in CT colonography. J Comput Assist Tomogr. 2002 Jul-Aug; 26(4):493-504.
Score: 0.160
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Pearls and Pitfalls of Interpretation in CT Colonography. Can Assoc Radiol J. 2020 May; 71(2):140-148.
Score: 0.135
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Structured reporting and quality control in CTÂ colonography. Abdom Radiol (NY). 2018 03; 43(3):566-573.
Score: 0.118
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BMI-based radiation dose reduction in CT colonography. Acad Radiol. 2013 Apr; 20(4):486-92.
Score: 0.084
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ACRIN CT colonography trial: does reader's preference for primary two-dimensional versus primary three-dimensional interpretation affect performance? Radiology. 2011 May; 259(2):435-41.
Score: 0.073
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Comparison of polyp size and volume at CT colonography: implications for follow-up CT colonography. AJR Am J Roentgenol. 2009 Dec; 193(6):1561-7.
Score: 0.067
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Flat lesions in CT colonography. Abdom Imaging. 2010 Oct; 35(5):578-83.
Score: 0.065
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CT colonography: visualization methods, interpretation, and pitfalls. Radiol Clin North Am. 2007 Mar; 45(2):347-59.
Score: 0.055
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Computer-aided diagnosis for CT colonography. Semin Ultrasound CT MR. 2004 Oct; 25(5):419-31.
Score: 0.047
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Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis. Med Phys. 2004 Apr; 31(4):860-72.
Score: 0.045
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Virtual colonoscopy: past, present, and future. Radiol Clin North Am. 2003 Mar; 41(2):377-93.
Score: 0.042
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The National CT Colonography Trial: assessment of accuracy in participants 65 years of age and older. Radiology. 2012 May; 263(2):401-8.
Score: 0.020
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Can radiologist training and testing ensure high performance in CT colonography? Lessons From the National CT Colonography Trial. AJR Am J Roentgenol. 2010 Jul; 195(1):117-25.
Score: 0.017
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Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography. Med Phys. 2008 Feb; 35(2):694-703.
Score: 0.015
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Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes. Med Phys. 2006 Oct; 33(10):3814-24.
Score: 0.013
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Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics. 2002 Jul-Aug; 22(4):963-79.
Score: 0.010