An evolutionary approach for fmri big data classification
A Tahmassebi, AH Gandomi, I McCann… - 2017 IEEE Congress …, 2017 - ieeexplore.ieee.org
Resting-state function magnetic resonance imaging (fMRI) images allow us to see the level
of activity in a patient's brain. We consider fMRI of patients before and after they underwent a …
of activity in a patient's brain. We consider fMRI of patients before and after they underwent a …
High performance gp-based approach for fmri big data classification
A Tahmassebi, AH Gandomi… - Proceedings of the Practice …, 2017 - dl.acm.org
We consider resting-state Functional Magnetic Resonance Imaging (fMRI) of two classes of
patients: one that took the drug N-acetylcysteine (NAC) and the other one a placebo before …
patients: one that took the drug N-acetylcysteine (NAC) and the other one a placebo before …
Statistical data analysis of resting state fMRI: A study of nicotine addiction treatment
A Ehtemami - 2016 - search.proquest.com
Statistical analysis methods are used by neuroscience researchers to obtain meaningful
information from functional magnetic resonance imaging data to learn more about mind and …
information from functional magnetic resonance imaging data to learn more about mind and …
Pattern Recognition in Medical Imaging: Supervised Learning of fMRI and MRI Data
A Tahmassebi - 2018 - search.proquest.com
Abstract Machine learning algorithms along with magnetic resonance imaging (MRI)
provides promising techniques to overcome the drawbacks of the current clinical screening …
provides promising techniques to overcome the drawbacks of the current clinical screening …