 Connection
Fred Prior to Artificial Intelligence
This is a "connection" page, showing publications Fred Prior has written about Artificial Intelligence.
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Connection Strength |
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0.989 |
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Kondylakis H, Kalokyri V, Sfakianakis S, Marias K, Tsiknakis M, Jimenez-Pastor A, Camacho-Ramos E, Blanquer I, Segrelles JD, L?pez-Huguet S, Barelle C, Kogut-Czarkowska M, Tsakou G, Siopis N, Sakellariou Z, Bizopoulos P, Drossou V, Lalas A, Votis K, Mallol P, Marti-Bonmati L, Alberich LC, Seymour K, Boucher S, Ciarrocchi E, Fromont L, Rambla J, Harms A, Gutierrez A, Starmans MPA, Prior F, Gelpi JL, Lekadir K. Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects. Eur Radiol Exp. 2023 05 08; 7(1):20.
Score: 0.210
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Syed M, Syed S, Sexton K, Greer ML, Zozus M, Bhattacharyya S, Syed F, Prior F. Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review. Stud Health Technol Inform. 2021 May 27; 281:799-803.
Score: 0.183
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Diaz O, Kushibar K, Osuala R, Linardos A, Garrucho L, Igual L, Radeva P, Prior F, Gkontra P, Lekadir K. Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools. Phys Med. 2021 Mar; 83:25-37.
Score: 0.180
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Bona JP, Prior FW, Zozus MN, Brochhausen M. Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective. Yearb Med Inform. 2019 Aug; 28(1):140-151.
Score: 0.162
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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: 0.102
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Prior F. Medical knowledge discovery and management. Mil Med. 2009 May; 174(5 Suppl):21-6.
Score: 0.079
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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: 0.072
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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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