Cite
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy
MLA
Margarida Julià-Sapé, et al. “Semi-Supervised Source Extraction Methodology for the Nosological Imaging of Glioblastoma Response to Therapy.” 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Dec. 2014. EBSCOhost, https://doi.org/10.1109/cidm.2014.7008653.
APA
Margarida Julià-Sapé, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ivan Olier, Carles Arús, Magdalena Ciezka, & Teresa Delgado-Goñi. (2014). Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). https://doi.org/10.1109/cidm.2014.7008653
Chicago
Margarida Julià-Sapé, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ivan Olier, Carles Arús, Magdalena Ciezka, and Teresa Delgado-Goñi. 2014. “Semi-Supervised Source Extraction Methodology for the Nosological Imaging of Glioblastoma Response to Therapy.” 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), December. doi:10.1109/cidm.2014.7008653.