Miodrag Stokić

The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method

Milena Čukić, Miodrag Stokić, S Simić et al. · Cognitive Neurodynamics · 2020 · 112 citations · Full text

Nursing, Neuroscience, Psychiatry +15

Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression

Milena Čukić, Miodrag Stokić, Slavoljub Radenković et al. · International Journal of Methods in Psychiatric Research · 2019 · 77 citations · Full text

Life Sciences, Neuroscience, Psychiatry +16

Memory load effect in auditory–verbal short-term memory task: EEG fractal and spectral analysis

Miodrag Stokić, Dragan Milovanović, Miloš Ljubisavljević et al. · Experimental Brain Research · 2015 · 28 citations

Social Sciences, Neuroscience, Psychology +14

EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression

Milena Čukić, David D. Pokrajac, Miodrag Stokić et al. · arXiv (Cornell University) · 2018 · 28 citations · Full text

Computing, Neuroscience, Psychiatry +17

Cognitive and electrophysiological characteristics of children with specific language impairment and subclinical epileptiform electroencephalogram

Vanja Nenadović, Miodrag Stokić, Mile Vuković et al. · Journal of Clinical and Experimental Neuropsychology · 2014 · 13 citations

Medicine, Neurology, Neuroscience +17