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100 | 1 | _ | |a Bonekamp, David |0 P:(DE-He78)ea098e4d78abeb63afaf8c25ec6d6d93 |b 0 |e First author |
245 | _ | _ | |a Radiomic Machine Learning: Is It Really a Useful Method for the Characterization of Prostate Cancer? Response |
260 | _ | _ | |a Oak Brook, Ill. |c 2019 |b Soc. |
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700 | 1 | _ | |a Freitag, Martin |0 P:(DE-He78)c420f6efccb409e1a287be027501a74c |b 12 |
700 | 1 | _ | |a Hohenfellner, Markus. |0 P:(DE-HGF)0 |b 13 |
700 | 1 | _ | |a Hadaschik, Boris. A. |0 P:(DE-HGF)0 |b 14 |
700 | 1 | _ | |a Schlemmer, Heinz-Peter |0 P:(DE-He78)3d04c8fee58c9ab71f62ff80d06b6fec |b 15 |
700 | 1 | _ | |a Maier-Hein, Klaus. H. |0 P:(DE-HGF)0 |b 16 |e Last author |
773 | _ | _ | |g Vol. 291, no. 1, p. 270 - 270 |0 PERI:(DE-600)2010588-5 |n 1 |p 270 - 270 |t Radiology |v 291 |y 2019 |x 0033-8419 |
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