| Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review M Belić, V Bobić, M Badža, N Šolaja, M Đurić-Jovičić, VS Kostić Clinical neurology and neurosurgery 184, 105442, 2019 | 183 | 2019 |
| Multichannel electrotactile feedback with spatial and mixed coding for closed-loop control of grasping force in hand prostheses S Dosen, M Markovic, M Strbac, M Belić, V Kojić, G Bijelić, T Keller, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (3 …, 2016 | 129 | 2016 |
| Integrated and flexible multichannel interface for electrotactile stimulation M Štrbac, M Belić, M Isaković, V Kojić, G Bijelić, I Popović, M Radotić, ... Journal of neural engineering 13 (4), 046014, 2016 | 108 | 2016 |
| Short-and long-term learning of feedforward control of a myoelectric prosthesis with sensory feedback by amputees M Štrbac, M Isaković, M Belić, I Popović, I Simanić, D Farina, T Keller, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017 | 89 | 2017 |
| Electrotactile feedback improves performance and facilitates learning in the routine grasping task M Isaković, M Belić, M Štrbac, I Popović, S Došen, D Farina, T Keller European journal of translational myology 26 (3), 2016 | 62 | 2016 |
| Finger tapping analysis in patients with Parkinson’s disease and atypical parkinsonism M Djurić-Jovičić, I Petrović, M Ječmenica-Lukić, S Radovanović, ... Journal of Clinical Neuroscience 30, 49-55, 2016 | 57 | 2016 |
| Contactless real-time heartbeat detection via 24 GHz continuous-wave Doppler radar using artificial neural networks N Malešević, V Petrović, M Belić, C Antfolk, V Mihajlović, M Janković Sensors 20 (8), 2351, 2020 | 50 | 2020 |
| Selection of gait parameters for differential diagnostics of patients with de novo Parkinson’s disease M Djurić-Jovičić, M Belić, I Stanković, S Radovanović, VS Kostić Neurological research 39 (10), 853-861, 2017 | 44 | 2017 |
| Electrical stimulation of the forearm: a method for transmitting sensory signals from the artificial hand to the brain M Perović, M Stevanović, T Jevtić, M Štrbac, G Bijelić, Č Vučetić, ... Journal of Automatic Control 21 (1), 13-18, 2013 | 34 | 2013 |
| Finger and foot tapping sensor system for objective motor assessment M Djurić-Jovičić, N Jovičić, SM Radovanovic, MJ Lukić, M Belić, ... Vojnosanitetski pregled 75 (1), 2018 | 21 | 2018 |
| Dynamic stimulation patterns for conveying proprioceptive information from multi-DOF prosthesis M Isaković, M Štrbac, M Belić, G Bijelić, I Popović, M Radotić, S Došen, ... Converging Clinical and Engineering Research on Neurorehabilitation II …, 2017 | 9 | 2017 |
| VS Kostić Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review., 2019, 184 M Belić, V Bobić, M Badža, N Šolaja, M Đurić-Jovičić DOI: https://doi. org/10.1016/j. clineuro, 105442, 2019 | 6 | 2019 |
| Quick computer aided differential diagnostics based on repetitive finger tapping in Parkinson’s disease and atypical parkinsonisms M Belić, Z Radivojević, V Bobić, V Kostić, M Đurić-Jovičić Heliyon 9 (4), 2023 | 1 | 2023 |
| Quantitative finger tapping assessment based on inertial sensors-assistance in differential diagnostics of parkinsonism M Đurić-Jovičić, M Ječmenica-Lukić, I Petrović, SM Radovanović, ... European Journal of Neurology 22, 344-344, 2015 | 1 | 2015 |
| Multiple regression analysis of repetitive finger tapping parameters V Miler-Jerković, M Djurić-Jovičić, M Perović-Belić, M Ječmenica-Lukić, ... 2014 22nd Telecommunications Forum Telfor (TELFOR), 537-540, 2014 | 1 | 2014 |
| Application of artificial intelligence for kinematic signal processing in diagnostics of Parkinson's disease and atypical parkinsonisms: doctoral dissertation M Belić Универзитет у Београду, 2023 | | 2023 |
| Proprioceptive feedback via dynamic stimulation patterns in closed-loop control of multi-DOF virtual prosthesis MS Isaković, M Štrbac, M Belić, T Keller, S Došen | | |
