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ORCIDMilena B. Cukic Radenkovic
Person information
- unicode name: Milena Čukić Radenković
- affiliation: Complutense University of Madrid, Spain
- affiliation: University of Belgrade, Department for General Physiology and Biophysics, Serbia
- affiliation: Clinical Center Serbia, Institute for Neurology, Belgrade, Serbia
Other persons with the same name
- Milena Cukic Radenkovic (aka: Milena Cukic 0002) — Empa Swiss Federal Labs for Materials Science and Technology, St. Gallen, Switzerland
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2020 – today
- 2023
[j4]Milena Cukic
, Danka Savic, Maie Bachmann:
Editorial: Innovations in depression diagnosis and treatment outcome monitoring. Frontiers Digit. Health 5 (2023)- [j3]Milena Cukic, Chiara Romano, Francesca De Tommasi, Massimiliano Carassiti, Domenico Formica, Emiliano Schena, Carlo Massaroni:
Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU. Sensors 23(3): 1615 (2023) - 2022
- [c3]Milena Cukic, Pavel Llamocca, Victoria Lopez:
An Unexpected Connection from Our Personalized Medicine Approach to Bipolar Depression Forecasting. IntelliSys (1) 2022: 226-235 - [c2]Carlo Massaroni, Chiara Romano, Francesca De Tommasi, Milena Cukic, Massimiliano Carassiti, Domenico Formica, Emiliano Schena:
Heart Rate And Heart Rate Variability Indexes Estimated By Mechanical Signals From A Skin-Interfaced IMU. MetroInd4.0& IoT 2022: 322-327 - 2021
- [j2]Milena B. Cukic Radenkovic:
Discussion on Y. Zhu, X. Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, J. Xu, Y. Chang and F. Cong, Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression, International Journal of Neural Systems, Vol. 31 No. 3 (2021). Int. J. Neural Syst. 31(4): 2175001:1-2175001:3 (2021) - 2020
- [c1]Milena Cukic, Dragoljub Pokrajac, Viktoria Lopez:
On Mistakes We Made in Prior Computational Psychiatry Data Driven Approach Projects and How They Jeopardize Translation of Those Findings in Clinical Practice. IntelliSys (3) 2020: 493-510 - [i5]Milena B. Cukic Radenkovic, David Pokrajac, Victoria López López:
On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice. CoRR abs/2006.06418 (2020) - [i4]Milena Cukic, Slavoljub Radenkovic, Miodrag Stokic, Danka Savic:
Transfer entropy applied on EEG in depression reveals aberrated dynamics. CoRR abs/2008.13625 (2020)
2010 – 2019
- 2019
- [i3]Milena B. Cukic Radenkovic:
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study. CoRR abs/1903.11454 (2019) - [i2]Milena B. Cukic Radenkovic, Victoria López López:
Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study. CoRR abs/1909.03115 (2019) - 2018
- [i1]Milena Cukic, David D. Pokrajac, Miodrag Stokic, Slobodan Simic, Vlada Radivojevic, Milos Ljubisavljevic:
EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression. CoRR abs/1803.05985 (2018) - 2013
- [j1]Alves Belic, Milena Cukic, David Neubauer, Tina Bregant:
Identification of the Long-Term Effects of Mild to Moderate Neonatal Cerebral Hypoxia Based on EEG Signals Analysis. Simul. Notes Eur. 23(2): 77-84 (2013)
Coauthor Index
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