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Milena Cukic Radenkovic
Milena Cukic Radenkovic
PostDoc Researcher
Dirección de correo verificada de empa.ch - Página principal
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Año
The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method.
SSDP Milena Čukić, Miodrag Stokić
Cognitive Neurodynamics, 2020
792020
Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression
MČMSSRMLSSD Savić
International Journal of Methods in Psychiatry Research 1816, 2019
63*2019
Estimation of Parameter kmax in Fractal Analysis of Rat Brain Activity
S Spasić, A Kalauzi, M Ćulić, G Grbić, L Martać
Annals of the New York Academy of Sciences 1048 (1), 427-429, 2005
452005
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression
M Cukic, D Pokrajac, M Stokic, V Radivojevic, M Ljubisavljevic
arXiv preprint arXiv:1803.05985, 2018
402018
Memory load effect in auditory-verbal short-term memory task: EEG fractal and spectral analysis.
ČM Stokić M., Milovanović D., Ljubisavljević M., Nenadović V.
Experimental Brain Research, DOI 10.1007/s00221-015-4372-z., 2015
34*2015
Classification of depression through resting-state electroencephalogram as a novel practice in psychiatry
M Čukić, V López, J Pavón
Journal of medical Internet research 22 (11), e19548, 2020
322020
Comparison of fractal dimension oscillations and trends of rainfall data from Pastaza Province, Ecuador and Veneto, Italy
RB 13. Aleksandar Kalauzi , Milena Cukic, Humberto Millán , Stefania Bonafoni
Atmospheric Research 93, 673-679, 2009
252009
The influence of coil–skull distance on transcranial magnetic stimulation motor-evoked responses
M Cukic, A Kalauzi, T Ilic, M Miskovic, M Ljubisavljevic
Experimental brain research 192, 53-60, 2009
232009
Data Source Analysis in Mood Disorder Research.
VLDU Pavel Llamocca, Axel Junestrand, Milena Cukic
CAEPIA XVIII Conference of the Spanish Association of Artificial …, 2018
19*2018
A dynamical model of SARS-CoV-2 based on people flow networks
V López, M Čukić
Safety Science 134, 105034, 2021
172021
The effect of single-pulse transcranial magnetic stimulation and peripheral nerve stimulation on complexity of EMG signal: fractal analysis.
ML M. Cukic, J. Oommen, D. Mutavdzic, N. Jorgovanovic
Experimental Brain Research 228 (1), 97-104, 2013
162013
Classification of depression through resting-state electroencephalogram as a novel practice in psychiatry
M Cukic, V Lopez, J Pavon
JOURNAL OF MEDICAL INTERNET RESEARCH 22 (11), 2020
152020
Nonlinear dynamics of meteorological variables: multifractality and chaotic invariants in daily records from Pastaza, Ecuador.
RB Humberto Millán, Aleksandar Kalauzi, Milena Cukic
Theoretical and Applied Climatology 102 (1), 75-85, 2012
14*2012
Personalized characterization of emotional states in patients with bipolar disorder
P Llamocca, V López, M Santos, M Čukić
Mathematics 9 (11), 1174, 2021
132021
Bip4Cast: Some advances in mood disorders data analysis
P Llamocca, D Urgelés, M Cukic, V Lopez
Proceedings of the 1st International Alan Turing Conference on Decision …, 2019
122019
On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice.
MČRV Lopez
IntelliSys, 2020
10*2020
Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU
ESCM Milena Cukic , Chiara Romano , Francesca De Tommasi , Massimiliano ...
Sensors MDPI 23 (3), 1615 https://doi.org/10.3390/s23031615, 2023
9*2023
Blood glucose estimation from voice: first review of successes and challenges
J Sidorova, P Carbonell, M Čukić
Journal of Voice 36 (5), 737. e1-737. e10, 2022
92022
The Reason Why rTMS and tDCS Are Efficient in Treatments of Depression
MČ Radenković
Frontiers in Psychoalogy Neuropsychology 10, 2923, 2020
9*2020
The reason why rTMS and tDCS are efficient in treatments of depression.
MČ Radenković
Frontiers in Psychology, section Neuropsychology 10 (article 2923), doi: 10 …, 2019
9*2019
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Artículos 1–20