NIMG-22. PREDICTION OF GLIOBLASTOMA CELLULAR INFILTRATION AND RECURRENCE USING MACHINE LEARNING AND MULTI-PARAMETRIC MRI ANALYSIS: RESULTS FROM THE MULTI-INSTITUTIONAL RESPOND CONS... von Akbari, Hamed, Mohan, Suyash, Garcia, Jose A, Kazerooni, Anahita Fathi, Sako, Chiharu, Bakas, Spyridon, Shukla, Gaurav, Bagley, Stephen J, Ahn, Sung Soo, Ak, Murat, Alexander, Gregory S, Ali, Ayesha S, Baid, Ujjwal, Bavde, Chaitra, Brem, Steven, Capellades, Jaume, Chang, Jong Hee, Choi, Yoon Seong, Dicker, Adam P, Fathallah-Shaykh, Hassan, Flanders, Adam E, Griffith, Brent D, LaMontagne, Pamela, Lee, Matthew, Lee, Seung-Koo, Liem, Spencer, Lombardo, Joseph, Mahajan, Abhishek, Milchenko, Mikhail, Nazeri, Arash, Puig, Josep, Sloan, Andrew, Taylor, William, Vadmal, Vachan, Waite, Kristin, Nasrallah, MacLean, Bilello, Michel, Lustig, Robert A, Balana, Carmen, Booth, Thomas C, Cepeda, Santiago, Poisson, Laila, Colen, Rivka R, Marcus, Daniel S, Palmer, Joshua, Jain, Rajan, Shi, Wenyin, O’Rourke, Donald M, Barnholtz-Sloan, Jill, Davatzikos, Christos

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