 Connection
Fred Prior to Software
This is a "connection" page, showing publications Fred Prior has written about Software.
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Connection Strength |
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1.349 |
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Bona JP, Utecht J, Bost S, Brochhausen M, Prior F. The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections. Phys Med Biol. 2022 12 23; 68(1).
Score: 0.726
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Prior FW, Erickson BJ, Tarbox L. Open source software projects of the caBIG In Vivo Imaging Workspace Software special interest group. J Digit Imaging. 2007 Nov; 20 Suppl 1:94-100.
Score: 0.252
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Moore SM, Maffitt DR, Smith KE, Kirby JS, Clark KW, Freymann JB, Vendt BA, Tarbox LR, Prior FW. De-identification of Medical Images with Retention of Scientific Research Value. Radiographics. 2015 May-Jun; 35(3):727-35.
Score: 0.107
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Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository. J Digit Imaging. 2013 Dec; 26(6):1045-57.
Score: 0.097
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Prior FW, Clark K, Commean P, Freymann J, Jaffe C, Kirby J, Moore S, Smith K, Tarbox L, Vendt B, Marquez G. TCIA: An information resource to enable open science. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:1282-5.
Score: 0.091
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Causey JL, Zhang J, Ma S, Jiang B, Qualls JA, Politte DG, Prior F, Zhang S, Huang X. Highly accurate model for prediction of lung nodule malignancy with CT scans. Sci Rep. 2018 06 18; 8(1):9286.
Score: 0.033
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La Rosa PS, Brooks TL, Deych E, Shands B, Prior F, Larson-Prior LJ, Shannon WD. Gibbs distribution for statistical analysis of graphical data with a sample application to fcMRI brain images. Stat Med. 2016 Feb 20; 35(4):566-80.
Score: 0.028
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Vendt BA, McKinstry RC, Ball WS, Kraut MA, Prior FW, Barton B, Casella JF, DeBaun MR. Silent Cerebral Infarct Transfusion (SIT) trial imaging core: application of novel imaging information technology for rapid and central review of MRI of the brain. J Digit Imaging. 2009 Jun; 22(3):326-43.
Score: 0.016
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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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