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Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients (bibtex)
Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients (bibtex)
by J.C. Peeken, C. Knie, V. Golkov, K. Kessel, F. Pasa, Q. Khan, M. Seroglazov, J. Kukačka, T. Goldberg, L. Richter, J. Reeb, B. Rost, F. Pfeiffer, D. Cremers, F. Nüsslin and S.E. Combs
Reference:
Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients (J.C. Peeken, C. Knie, V. Golkov, K. Kessel, F. Pasa, Q. Khan, M. Seroglazov, J. Kukačka, T. Goldberg, L. Richter, J. Reeb, B. Rost, F. Pfeiffer, D. Cremers, F. Nüsslin and S.E. Combs), In 23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), 2017. 
Bibtex Entry:
@inproceedings{Peeken-et-al-2017,
 author = {J.C. Peeken and C. Knie and V. Golkov and K. Kessel and F. Pasa and Q. Khan and M. Seroglazov and J. Kukačka and T. Goldberg and L. Richter and J. Reeb and B. Rost and F. Pfeiffer and D. Cremers and F. Nüsslin and S.E. Combs},
 title = {Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients},
 year = {2017},
 booktitle = {23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO)},
 keywords = {deep learning, medical imaging},
}
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