Neuro-Oncology. 18 (3) 417–425, 2015. DOI: 10.1093/neuonc/nov127

Macyszyn, L, Akbari, H, Pisapia, JM, Da, X, Attiah, M, Pigrish, V, Bi, Y, Pal, S, Davuluri, RV, Roccograndi, L, Dahmane, N, Martinez-Lage, M, Biros, G, Wolf, RL, Bilello, M, O’Rourke, DM, Davatzikos, C. Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques, Neuro-Oncology, Volume 18, Issue 3, June 2015, Pages 417–425, https://doi.org/10.1093/neuonc/nov127

[learn_press_profile]