 Connection
Fred Prior to Pattern Recognition, Automated
This is a "connection" page, showing publications Fred Prior has written about Pattern Recognition, Automated.
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Connection Strength |
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0.336 |
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Prior FW, Fouke SJ, Benzinger T, Boyd A, Chicoine M, Cholleti S, Kelsey M, Keogh B, Kim L, Milchenko M, Politte DG, Tyree S, Weinberger K, Marcus D. Predicting a multi-parametric probability map of active tumor extent using random forests. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:6478-81.
Score: 0.107
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Kelsey M, Politte D, Verner R, Zempel JM, Nolan T, Babajani-Feremi A, Prior F, Larson-Prior LJ. Determination of neural state classification metrics from the power spectrum of human ECoG. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4336-40.
Score: 0.100
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Liu L, Raber D, Nopachai D, Commean P, Sinacore D, Prior F, Pless R, Ju T. Interactive separation of segmented bones in CT volumes using graph cut. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):296-304.
Score: 0.076
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Coates TD, Larson-Prior LJ, Wolpert S, Prior F. Classification of simple stimuli based on detected nerve activity. IEEE Eng Med Biol Mag. 2003 Jan-Feb; 22(1):64-76.
Score: 0.053
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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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