 Connection
Negin Rassouli to Tomography, X-Ray Computed
This is a "connection" page, showing publications Negin Rassouli has written about Tomography, X-Ray Computed.
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Connection Strength |
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0.638 |
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Rassouli N, Chalian H, Rajiah P, Dhanantwari A, Landeras L. Assessment of 70-keV virtual monoenergetic spectral images in abdominal CT imaging: A comparison study to conventional polychromatic 120-kVp images. Abdom Radiol (NY). 2017 10; 42(10):2579-2586.
Score: 0.253
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Ghandour A, Sher A, Rassouli N, Dhanantwari A, Rajiah P. Evaluation of Virtual Monoenergetic Images on Pulmonary Vasculature Using the Dual-Layer Detector-Based Spectral Computed Tomography. J Comput Assist Tomogr. 2018 Nov/Dec; 42(6):858-865.
Score: 0.068
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Su KH, Kuo JW, Jordan DW, Van Hedent S, Klahr P, Wei Z, Al Helo R, Liang F, Qian P, Pereira GC, Rassouli N, Gilkeson RC, Traughber BJ, Cheng CW, Muzic RF. Machine learning-based dual-energy CT parametric mapping. Phys Med Biol. 2018 06 08; 63(12):125001.
Score: 0.066
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Kalisz K, Rassouli N, Dhanantwari A, Jordan D, Rajiah P. Noise characteristics of virtual monoenergetic images from a novel detector-based spectral CT scanner. Eur J Radiol. 2018 Jan; 98:118-125.
Score: 0.064
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Hojjati M, Van Hedent S, Rassouli N, Tatsuoka C, Jordan D, Dhanantwari A, Rajiah P. Quality of routine diagnostic abdominal images generated from a novel detector-based spectral CT scanner: a technical report on a phantom and clinical study. Abdom Radiol (NY). 2017 11; 42(11):2752-2759.
Score: 0.064
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Rajiah P, Rong R, Martinez-Rios C, Rassouli N, Landeras L. Benefit and clinical significance of retrospectively obtained spectral data with a novel detector-based spectral computed tomography - Initial experiences and results. Clin Imaging. 2018 May - Jun; 49:65-72.
Score: 0.064
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Ananthakrishnan L, Rajiah P, Ahn R, Rassouli N, Xi Y, Soesbe TC, Lewis MA, Lenkinski RE, Leyendecker JR, Abbara S. Spectral detector CT-derived virtual non-contrast images: comparison of attenuation values with unenhanced CT. Abdom Radiol (NY). 2017 03; 42(3):702-709.
Score: 0.061
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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