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Details for article 38 of 43 found articles
| Title: |
Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI |
| Author: |
Papp, L. Spielvogel, C. P. Grubmüller, B. Grahovac, M. Krajnc, D. Ecsedi, B. Sareshgi, R. A.M. Mohamad, D. Hamboeck, M. Rausch, I. Mitterhauser, M. Wadsak, W. Haug, A. R. Kenner, L. Mazal, P. Susani, M. Hartenbach, S. Baltzer, P. Helbich, T. H. Kramer, G. Shariat, S.F. Beyer, T. Hartenbach, M. Hacker, M. |
| Appeared in: |
European journal of nuclear medicine and molecular imaging |
| Paging: | Volume 48 () nr. 6 pages 1795-1805 |
| Year: |
2020-12-19 |
| Contents: | |
| Publisher: |
Springer Berlin Heidelberg, Berlin/Heidelberg |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 38 of 43 found articles
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