Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
Titel:
Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
Auteur:
Sanduleanu, Sebastian Jochems, Arthur Upadhaya, Taman Even, Aniek J.G. Leijenaar, Ralph T.H. Dankers, Frank J.W.M. Klaassen, Remy Woodruff, Henry C. Hatt, Mathieu Kaanders, Hans J.A.M. Hamming-Vrieze, Olga van Laarhoven, Hanneke W.M. Subramiam, Rathan M. Huang, Shao Hui O'Sullivan, Brian Bratman, Scott V. Dubois, Ludwig J. Miclea, Razvan L. Di Perri, Dario Geets, Xavier Crispin-Ortuzar, Mireia Apte, Aditya Deasy, Joseph O. Oh, Jung Hun Lee, Nancy Y. Humm, John L. Schöder, Heiko De Ruysscher, Dirk Hoebers, Frank Lambin, Philippe